PARCEL THEFT DETERRENCE FOR AUDIO/VIDEO RECORDING AND COMMUNICATION DEVICES
Some aspects of the present embodiments provide a method for setting an audio/video (A/V) recording and communication device in a parcel protection mode. The method receives, form the A/V recording and communication device, a notification about a parcel being placed within an area about the A/V recording and communication device. The method receives a request for activating the parcel protection mode. Upon receiving the request, the method sends an activation signal to the A/V recording and communication device to set the A/V recording and communication device in the parcel protection mode.
This application is a continuation of U.S. patent application Ser. No. 15/669,393, filed on Aug. 4, 2017, which claims priority to provisional application Ser. No. 62/479,060, filed on Mar. 30, 2017, and provisional application Ser. No. 62/374,505, filed on Aug. 12, 2016. The entire contents of the priority applications are hereby incorporated by reference as if fully set forth.
TECHNICAL FIELDThe present embodiments relate to audio/video (A/V) recording and communication devices, including A/V recording and communication doorbell systems. In particular, the present embodiments relate to improvements in the functionality of A/V recording and communication devices that strengthen the ability of such devices to deter parcel theft and/or to identify and apprehend parcel thieves.
BACKGROUNDHome security is a concern for many homeowners and renters. Those seeking to protect or monitor their homes often wish to have video and audio communications with visitors, for example, those visiting an external door or entryway. Audio/Video (A/V) recording and communication devices, such as doorbells, provide this functionality, and can also aid in crime detection and prevention. For example, audio and/or video captured by an A/V recording and communication device can be uploaded to the cloud and recorded on a remote server. Subsequent review of the A/V footage can aid law enforcement in capturing perpetrators of home burglaries and other crimes. Further, the presence of one or more A/V recording and communication devices on the exterior of a home, such as a doorbell unit at the entrance to the home, acts as a powerful deterrent against would-be burglars.
SUMMARYThe various embodiments of the present parcel theft deterrence for audio/video (A/V) recording and communication devices have several features, no single one of which is solely responsible for their desirable attributes. Without limiting the scope of the present embodiments as expressed by the claims that follow, their more prominent features now will be discussed briefly. After considering this discussion, and particularly after reading the section entitled “Detailed Description,” one will understand how the features of the present embodiments provide the advantages described herein.
One aspect of the present embodiments includes the realization that parcel pilferage is a pernicious and persistent problem. Parcel carriers frequently leave parcels near the front door of a home when no one answers the door at the time of delivery. These parcels are vulnerable to theft, as they are often clearly visible from the street. This problem has only gotten worse with the proliferation of online commerce, and is particularly common around major holidays when many consumers do their holiday shopping online. It would be advantageous, therefore, if the functionality of A/V recording and communication devices could be leveraged to deter parcel theft and/or to identify and apprehend parcel thieves. It would also be advantageous if the functionality of A/V recording and communication devices could be enhanced in one or more ways to deter parcel theft and/or to identify and apprehend parcel thieves. The present embodiments provide these advantages and enhancements, as described below.
In a first aspect, a method for an audio/video (A/V) recording and communication device, the device including a camera, is provided, the method comprising determining that a parcel has been left within an area about the A/V recording and communication device, determining that the parcel has been removed from the area about the A/V recording and communication device, determining whether removal of the parcel from the area about the A/V recording and communication device was authorized, and when the removal of the parcel from the area about the A/V recording and communication device is determined to have been unauthorized, generating an alert.
In an embodiment of the first aspect, determining that the parcel has been left within the area about the A/V recording and communication device comprises comparing video frames recorded by the camera of the A/V recording and communication device.
In another embodiment of the first aspect, determining that the parcel has been left in the area about the A/V recording and communication device comprises receiving information from a carrier that delivered the parcel.
In another embodiment of the first aspect, determining that the parcel has been left within the area about the A/V recording and communication device comprises automatic identification and data capture (AIDC).
In another embodiment of the first aspect, the AIDC comprises at least one of a barcode, a matrix code, a bokode, and radio frequency identification (RFID).
In another embodiment of the first aspect, determining that the parcel has been removed from the area about the A/V recording and communication device comprises comparing video frames recorded by the camera of the A/V recording and communication device.
In another embodiment of the first aspect, determining that the parcel has been removed from the area about the A/V recording and communication device comprises automatic identification and data capture (AIDC).
In another embodiment of the first aspect, the AIDC comprises radio frequency identification (RFID).
In another embodiment of the first aspect, determining whether removal of the parcel from the area about the A/V recording and communication device was authorized comprises detecting a direction of movement of the parcel.
In another embodiment of the first aspect, determining whether removal of the parcel from the area about the A/V recording and communication device was authorized comprises automatic identification and data capture (AIDC).
In another embodiment of the first aspect, the AIDC comprises at least one of a barcode, a matrix code, a bokode, radio frequency identification (RFID), a smart card, a magnetic stripe, optical character recognition (OCR), biometrics, voice recognition, facial recognition, three-dimensional facial recognition, and skin texture analysis.
Another embodiment of the first aspect further comprises comparing information received through the AIDC to information about one or more persons.
In another embodiment of the first aspect, the one or more persons comprise at least one perpetrator of one or more parcel thefts.
In another embodiment of the first aspect, the one or more parcel thefts occurred within a defined radius about the A/V recording and communication device.
In another embodiment of the first aspect, the alert comprises an alert signal sent to a client device.
In another embodiment of the first aspect, the alert comprises an audible alarm emitted from a speaker of the A/V recording and communication device.
In another embodiment of the first aspect, the alert comprises an announcement emitted from a speaker of the A/V recording and communication device, the announcement comprising a warning that the area about the A/V recording and communication device is being recorded.
Another embodiment of the first aspect further comprises identifying the parcel.
In another embodiment of the first aspect, identifying the parcel comprises the camera of the A/V recording and communication device capturing an image of an identifying mark on the parcel.
In a second aspect, a method for an audio/video (A/V) recording and communication device, the device including a camera, is provided, the method comprising determining that a parcel has been left within an area about the A/V recording and communication device, after the parcel has been left within the area about the A/V recording and communication device, detecting a person within the area about the A/V recording and communication device, recording, with the camera of the A/V recording and communication device, video images of the person within the area about the A/V recording and communication device, and emitting an alert from the speaker of the A/V recording and communication device.
In an embodiment of the second aspect, the alert comprises an audible alarm.
In another embodiment of the second aspect, the alert comprises an announcement warning the detected person that he or she is being recorded.
In a third aspect, a method for an audio/video (A/V) recording and communication device, the device including a camera, is provided, the method comprising determining that a parcel has been left within an area about the A/V recording and communication device, wherein determining that the parcel has been left within the area about the A/V recording and communication device comprises comparing video frames recorded by the camera of the A/V recording and communication device, determining that the parcel has been removed from the area about the A/V recording and communication device, wherein determining that the parcel has been removed from the area about the A/V recording and communication device comprises comparing video frames recorded by the camera of the A/V recording and communication device, determining whether removal of the parcel from the area about the A/V recording and communication device was authorized, wherein determining whether removal of the parcel from the area about the A/V recording and communication device was authorized comprises automatic identification and data capture (AIDC), and when the removal of the parcel from the area about the A/V recording and communication device is determined to have been unauthorized, generating an alert.
In an embodiment of the third aspect, the AIDC comprises at least one of radio frequency identification (RFID) and biometrics.
In another embodiment of the third aspect, the AIDC comprises the camera of the A/V recording and communication device capturing an image of a person in the area about the A/V recording and communication device.
In another embodiment of the third aspect, the image of the person comprises an image of the person's face.
Another embodiment of the third aspect further comprises comparing the image of the person to at least one image of at least one other person.
In another embodiment of the third aspect, the removal of the parcel from the area about the A/V recording and communication device is determined to have been unauthorized when there is a match between the image of the person captured by the camera of the A/V recording and communication device and the at least one image of the at least one other person.
In a fourth aspect, a method for an audio/video (A/V) recording and communication device, the device including a processor and a camera, the device being communicatively connected to at least one network device, is provided, the method comprising determining that a parcel has been left within an area about the A/V recording and communication device, wherein determining that the parcel has been left within the area about the A/V recording and communication device comprises the processor of the A/V recording and communication device comparing video frames recorded by the camera of the A/V recording and communication device, determining that the parcel has been removed from the area about the A/V recording and communication device, wherein determining that the parcel has been removed from the area about the A/V recording and communication device comprises the processor of the A/V recording and communication device comparing video frames recorded by the camera of the A/V recording and communication device, determining whether removal of the parcel from the area about the A/V recording and communication device was authorized, wherein determining whether removal of the parcel from the area about the A/V recording and communication device was authorized comprises automatic identification and data capture (AIDC), and when the removal of the parcel from the area about the A/V recording and communication device is determined to have been unauthorized, generating an alert.
In an embodiment of the fourth aspect, the AIDC comprises at least one of radio frequency identification (RFID) and biometrics.
In another embodiment of the fourth aspect, the AIDC comprises the camera of the A/V recording and communication device capturing an image of a person in the area about the A/V recording and communication device.
In another embodiment of the fourth aspect, the image of the person comprises an image of the person's face.
Another embodiment of the fourth aspect further comprises the at least one network device receiving the image of the person.
Another embodiment of the fourth aspect further comprises the at least one network device comparing the image of the person to at least one image of at least one other person.
In another embodiment of the fourth aspect, the removal of the parcel from the area about the A/V recording and communication device is determined to have been unauthorized when there is a match between the image of the person captured by the camera of the A/V recording and communication device and the at least one image of the at least one other person.
The various embodiments of the present parcel theft deterrence for audio/video (A/V) recording and communication devices now will be discussed in detail with an emphasis on highlighting the advantageous features. These embodiments depict the novel and non-obvious parcel theft deterrence for A/V recording and communication devices shown in the accompanying drawings, which are for illustrative purposes only. These drawings include the following figures, in which like numerals indicate like parts:
The following detailed description describes the present embodiments with reference to the drawings. In the drawings, reference numbers label elements of the present embodiments. These reference numbers are reproduced below in connection with the discussion of the corresponding drawing features.
The embodiments of the present parcel theft deterrence for audio/video (A/V) recording and communication devices are described below with reference to the figures. These figures, and their written descriptions, indicate that certain components of the apparatus are formed integrally, and certain other components are formed as separate pieces. Those of ordinary skill in the art will appreciate that components shown and described herein as being formed integrally may in alternative embodiments be formed as separate pieces. Those of ordinary skill in the art will further appreciate that components shown and described herein as being formed as separate pieces may in alternative embodiments be formed integrally. Further, as used herein the term integral describes a single unitary piece.
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The A/V recording and communication device 100 is typically located near the entrance to a structure (not shown), such as a dwelling, a business, a storage facility, etc. The A/V recording and communication device 100 includes a camera 102, a microphone 104, and a speaker 106. The camera 102 may comprise, for example, a high definition (HD) video camera, such as one capable of capturing video images at an image display resolution of 1080p or better. While not shown, the A/V recording and communication device 100 may also include other hardware and/or components, such as a housing, one or more motion sensors (and/or other types of sensors), a button, etc. The A/V recording and communication device 100 may further include similar componentry and/or functionality as the wireless communication doorbells described in US Patent Application Publication Nos. 2015/0022620 (application Ser. No. 14/499,828) and 2015/0022618 (application Ser. No. 14/334,922), both of which are incorporated herein by reference in their entireties as if fully set forth.
With further reference to
The network 112 may be any wireless network or any wired network, or a combination thereof, configured to operatively couple the above-mentioned modules, devices, and systems as shown in
According to one or more aspects of the present embodiments, when a person (may be referred to interchangeably as “visitor”) arrives at the A/V recording and communication device 100, the A/V recording and communication device 100 detects the visitor's presence and begins capturing video images within a field of view of the camera 102. The A/V communication device 100 may also capture audio through the microphone 104. The A/V recording and communication device 100 may detect the visitor's presence using a motion sensor, and/or by detecting that the visitor has depressed the button on the A/V recording and communication device 100.
In response to the detection of the visitor, the A/V recording and communication device 100 sends an alert to the user's client device 114 (
The video images captured by the camera 102 of the A/V recording and communication device 100 (and the audio captured by the microphone 104) may be uploaded to the cloud and recorded on the remote storage device 116 (
With further reference to
The backend API 120 illustrated
The backend API 120 illustrated in
At block B262, a communication module of the A/V recording and communication device 100 sends a request, via the user's network 110 and the network 112, to a device in the network 112. For example, the network device to which the request is sent may be a server such as the server 118. The server 118 may comprise a computer program and/or a machine that waits for requests from other machines or software (clients) and responds to them. A server typically processes data. One purpose of a server is to share data and/or hardware and/or software resources among clients. This architecture is called the client-server model. The clients may run on the same computer or may connect to the server over a network. Examples of computing servers include database servers, file servers, mail servers, print servers, web servers, game servers, and application servers. The term server may be construed broadly to include any computerized process that shares a resource to one or more client processes. In another example, the network device to which the request is sent may be an API such as the backend API 120, which is described above.
In response to the request, at block B264 the network device may connect the A/V recording and communication device 100 to the user's client device 114 through the user's network 110 and the network 112. At block B266, the A/V recording and communication device 100 may record available audio and/or video data using the camera 102, the microphone 104, and/or any other device/sensor available. At block B268, the audio and/or video data is transmitted (streamed) from the A/V recording and communication device 100 to the user's client device 114 via the user's network 110 and the network 112. At block B270, the user may receive a notification on his or her client device 114 with a prompt to either accept or deny the call.
At block B272, the process determines whether the user has accepted or denied the call. If the user denies the notification, then the process advances to block B274, where the audio and/or video data is recorded and stored at a cloud server. The session then ends at block B276 and the connection between the A/V recording and communication device 100 and the user's client device 114 is terminated. If, however, the user accepts the notification, then at block B278 the user communicates with the visitor through the user's client device 114 while audio and/or video data captured by the camera 102, the microphone 104, and/or other devices/sensors is streamed to the user's client device 114. At the end of the call, the user may terminate the connection between the user's client device 114 and the A/V recording and communication device 100 and the session ends at block B276. In some embodiments, the audio and/or video data may be recorded and stored at a cloud server (block B274) even if the user accepts the notification and communicates with the visitor through the user's client device 114.
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The transfer of digital audio between the user and a visitor may be compressed and decompressed using the audio CODEC 153, which is operatively coupled to the processor 160. When the visitor speaks, audio from the visitor is compressed by the audio CODEC 153, digital audio data is sent through the communication module 146 to the network 112 via the user's network 110, routed by the server 118 and delivered to the user's client device 114. When the user speaks, after being transferred through the network 112, the user's network 110, and the communication module 146, the digital audio data is decompressed by the audio CODEC 153 and emitted to the visitor through the speaker 152, which is driven by the speaker driver 151.
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The lower portion 216 of the shield 192 may comprise a material that is substantially transparent to infrared (IR) light, but partially or mostly opaque with respect to light in the visible spectrum. For example, in certain embodiments the lower portion 216 of the shield 192 may comprise a plastic, such as polycarbonate. The lower portion 216 of the shield 192, therefore, does not interfere with transmission of IR light from the IR light source 156, which is located behind the lower portion 216. As described in detail below, the IR light source 156 and the IR cut filter 158, which are both operatively connected to the processor 160, facilitate “night vision” functionality of the camera 154.
The upper portion 214 and/or the lower portion 216 of the shield 192 may abut an underlying cover 220 (
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The LEDs 162 and the light pipe 232 may function as visual indicators for a visitor and/or a user. For example, the LEDs 162 may illuminate upon activation or stay illuminated continuously. In one aspect, the LEDs 162 may change color to indicate that the front button 148 has been pressed. The LEDs 162 may also indicate that the battery 142 needs recharging, or that the battery 142 is currently being charged, or that charging of the battery 142 has been completed. The LEDs 162 may indicate that a connection to the user's wireless (and/or wired) network is good, limited, poor, or not connected. The LEDs 162 may be used to guide the user through setup or installation steps using visual cues, potentially coupled with audio cues emitted from the speaker 152.
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The IR LED 242 may be triggered to activate when a low level of ambient light is detected. When activated, IR light emitted from the IR LED 242 illuminates the camera 154's field of view. The camera 154, which may be configured to detect IR light, may then capture the IR light emitted by the IR LED 242 as it reflects off objects within the camera 154's field of view, so that the A/V recording and communication device 130 can clearly capture images at night (may be referred to as “night vision”).
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As discussed above, the present disclosure provides numerous examples of methods and systems including A/V recording and communication doorbells, but the present embodiments are equally applicable for A/V recording and communication devices other than doorbells. For example, the present embodiments may include one or more A/V recording and communication security cameras instead of, or in addition to, one or more A/V recording and communication doorbells. An example A/V recording and communication security camera may include substantially all of the structure and functionality of the device 130, but without the front button 148, the button actuator 228, and/or the light pipe 232.
The present disclosure also provides numerous examples of methods and systems including A/V recording and communication devices that are powered by a connection to AC mains, but the present embodiments are equally applicable for A/V recording and communication devices that are battery powered. For example, the present embodiments may include an A/V recording and communication device such as those described in US Patent Application Publication Nos. 2015/0022620 (application Ser. No. 14/499,828) and 2015/0022618 (application Ser. No. 14/334,922), both of which are incorporated herein by reference in their entireties as if fully set forth.
As discussed above, parcel theft is an increasingly common problem. Parcel carriers frequently leave parcels near the front door of a home when no one answers the door at the time of delivery. These parcels are vulnerable to theft, as they are often clearly visible from the street. This problem has only gotten worse with the proliferation of online commerce, and is particularly common around major holidays when many consumers do their holiday shopping online. It would be advantageous, therefore, if the functionality of A/V recording and communication devices could be leveraged to deter parcel theft and/or to identify and apprehend parcel thieves. It would also be advantageous if the functionality of A/V recording and communication devices could be enhanced in one or more ways to deter parcel theft and/or to identify and apprehend parcel thieves. The present embodiments provide these advantages and enhancements, as described below.
For example, some of the present embodiments deter parcel theft and/or facilitate the identification and apprehension of parcel thieves by determining that a parcel has been delivered, determining that the parcel has been removed from the delivery area, determining whether removal of the parcel was authorized, and, when the removal of the parcel is determined to have been unauthorized, generating an alert. Further, because the present embodiments include A/V recording and communication devices, acts of parcel theft are recorded by the camera of the A/V recording and communication device. These images are useful in identifying and apprehending parcel thieves.
Some of the present embodiments comprise computer vision for one or more aspects, such as object recognition. Computer vision includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the form of decisions. Computer vision seeks to duplicate the abilities of human vision by electronically perceiving and understanding an image. Understanding in this context means the transformation of visual images (the input of the retina) into descriptions of the world that can interface with other thought processes and elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. Computer vision has also been described as the enterprise of automating and integrating a wide range of processes and representations for vision perception. As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a scanner. As a technological discipline, computer vision seeks to apply its theories and models for the construction of computer vision systems.
One aspect of computer vision comprises determining whether or not the image data contains some specific object, feature, or activity. Different varieties of computer vision recognition include: Object Recognition (also called object classification)—One or several pre-specified or learned objects or object classes can be recognized, usually together with their 2D positions in the image or 3D poses in the scene. Identification—An individual instance of an object is recognized. Examples include identification of a specific person's face or fingerprint, identification of handwritten digits, or identification of a specific vehicle. Detection—The image data are scanned for a specific condition. Examples include detection of possible abnormal cells or tissues in medical images or detection of a vehicle in an automatic road toll system. Detection based on relatively simple and fast computations is sometimes used for finding smaller regions of interesting image data that can be further analyzed by more computationally demanding techniques to produce a correct interpretation.
Several specialized tasks based on computer vision recognition exist, such as: Optical Character Recognition (OCR)—Identifying characters in images of printed or handwritten text, usually with a view to encoding the text in a format more amenable to editing or indexing (e.g. ASCII). 2D Code Reading—Reading of 2D codes such as data matrix and QR codes. Facial Recognition. Shape Recognition Technology (SRT)—Differentiating human beings (e.g. head and shoulder patterns) from objects.
Typical functions and components (e.g. hardware) found in many computer vision systems are described in the following paragraphs. The present embodiments may include at least some of these aspects. For example, with reference to
Image acquisition—A digital image is produced by one or several image sensors, which, besides various types of light-sensitive cameras, may include range sensors, tomography devices, radar, ultra-sonic cameras, etc. Depending on the type of sensor, the resulting image data may be a 2D image, a 3D volume, or an image sequence. The pixel values may correspond to light intensity in one or several spectral bands (gray images or color images), but can also be related to various physical measures, such as depth, absorption or reflectance of sonic or electromagnetic waves, or nuclear magnetic resonance.
Pre-processing—Before a computer vision method can be applied to image data in order to extract some specific piece of information, it is usually beneficial to process the data in order to assure that it satisfies certain assumptions implied by the method. Examples of pre-processing include, but are not limited to re-sampling in order to assure that the image coordinate system is correct, noise reduction in order to assure that sensor noise does not introduce false information, contrast enhancement to assure that relevant information can be detected, and scale space representation to enhance image structures at locally appropriate scales.
Feature extraction—Image features at various levels of complexity are extracted from the image data. Typical examples of such features are: Lines, edges, and ridges; Localized interest points such as corners, blobs, or points; More complex features may be related to texture, shape, or motion.
Detection/segmentation—At some point in the processing a decision may be made about which image points or regions of the image are relevant for further processing. Examples are: Selection of a specific set of interest points; Segmentation of one or multiple image regions that contain a specific object of interest; Segmentation of the image into nested scene architecture comprising foreground, object groups, single objects, or salient object parts (also referred to as spatial-taxon scene hierarchy).
High-level processing—At this step, the input may be a small set of data, for example a set of points or an image region that is assumed to contain a specific object. The remaining processing may comprise, for example: Verification that the data satisfy model-based and application-specific assumptions; Estimation of application-specific parameters, such as object pose or object size; Image recognition—classifying a detected object into different categories; Image registration—comparing and combining two different views of the same object.
Decision making—Making the final decision required for the application, for example match/no-match in recognition applications.
One or more of the present embodiments may include a vision processing unit (not shown separately, but may be a component of the computer vision module 163). A vision processing unit is an emerging class of microprocessor; it is a specific type of AI (artificial intelligence) accelerator designed to accelerate machine vision tasks. Vision processing units are distinct from video processing units (which are specialized for video encoding and decoding) in their suitability for running machine vision algorithms such as convolutional neural networks, SIFT, etc. Vision processing units may include direct interfaces to take data from cameras (bypassing any off-chip buffers), and may have a greater emphasis on on-chip dataflow between many parallel execution units with scratchpad memory, like a manycore DSP (digital signal processor). But, like video processing units, vision processing units may have a focus on low precision fixed point arithmetic for image processing.
In one example embodiment, determining that the parcel has been left within the area about the A/V recording and communication device 130 may comprise comparing video frames recorded by the camera 154 of the A/V recording and communication device 130, e.g. using computer vision. For example, before a parcel is left within the area about the A/V recording and communication device 130, the field of view of the camera 154 may remain largely static. Different objects may occasionally (or frequently) pass through the camera's field of view, such as people, animals, cars, etc., but these objects generally do not remain within the camera's field of view for very long (on the order of seconds) and, if they stop within the camera's field of view, they typically begin moving again soon after stopping. By contrast, when a parcel is left within the camera's field of view, it typically remains within the camera's field of view for a significant amount of time (on the order of minutes or hours), and the parcel typically remains motionless throughout the time that it remains within the camera's field of view (at least until someone picks it up and carries it away). Thus, comparing video frames from a time before a parcel is left within the camera's field of view with video frames from a time after the parcel is left within the camera's field of view may enable a reliable determination to be made as to whether an object that is present within the camera's field of view is a parcel or not.
The present embodiments contemplate numerous methodologies for determining whether an object that is present within the camera's field of view is a parcel or not. Any or all of these methodologies may include one or more aspects of computer vision. For example, in some embodiments an object within the camera's field of view may be determined to be a parcel if the object is not present within the camera's field of view at a first time (in a first video frame), the object is present within the camera's field of view at a second time after the first time (in a second video frame), and the object remains within the camera's field of view for at least a threshold amount of time. Determining whether the object remains within the camera's field of view for at least the threshold amount of time may comprise review of one or more video frames that are recorded after the second video frame. In other embodiments, an object within the camera's field of view may be determined to be a parcel if the object is not present within the camera's field of view at a first time (in a first video frame), the object is present within the camera's field of view at a second time after the first time (in a second video frame), and the object remains motionless within the camera's field of view for at least a threshold amount of time. Determining whether the object remains motionless within the camera's field of view for at least the threshold amount of time may comprise review of one or more video frames that are recorded after the second video frame.
In other embodiments, an object within the camera's field of view may be determined to be a parcel if the object is not present within the camera's field of view at a first time (in a first video frame), a person is detected approaching the A/V recording and communication device 130 at a second time after the first time (in a second video frame), the person is detected moving away from the A/V recording and communication device 130 at a third time after the second time (in a third video frame), and the object is present within the camera's field of view at a fourth time after the third time (in a fourth video frame).
In other embodiments, an object within the camera's field of view may be determined to be a parcel if the object is not present within the camera's field of view at a first time (in a first video frame), a stationary vehicle (which may be a delivery vehicle, for example) is detected within the camera's field of view at a second time after the first time (in a second video frame), the object is present within the camera's field of view at a third time after the second time (in a third video frame), and the vehicle is no longer present within the camera's field of view at a fourth time after the third time (in a fourth video frame).
In other embodiments, an object within the camera's field of view may be determined to be a parcel if the object is not present within the camera's field of view at a first time (in a first video frame), the object is present within the camera's field of view at a second time after the first time (in a second video frame), and the object meets one or more criteria, such as having one or more physical characteristics. Examples of physical characteristics that may be examined to determine whether the object is a parcel include, without limitation, size, shape, color, and material (or materials). For example, if the object is made of cardboard and is brown or white (common colors for cardboard shipping boxes), it may be determined to be a parcel.
The present embodiments contemplate many processes for examining physical characteristics of the object and making a determination as to whether the object is a parcel. For example, some embodiments may comprise gathering information about the object using computer vision, and then comparing the gathered information about the object to stored information about parcels to determine whether there is a match. For example, the present embodiments may include a database of parcels and/or physical characteristics of parcels. The database may include pictures of known parcels, and comparing the gathered information about the object to the stored information about parcels may comprise comparing a picture of the object to the pictures of known parcels. Gathering information about the object using computer vision may comprise using one or more cameras, scanners, imagers, etc. and/or one or more sensors, such as sonar.
With reference to
In another example embodiment, determining that the parcel has been left within the area about the A/V recording and communication device 130 may comprise receiving information from a carrier (e.g. the postal service, FedEx, UPS, etc.) that delivered the parcel. For example, when the parcel carrier delivers the parcel, or at some time after the parcel carrier has delivered the parcel, the carrier may update a delivery status of the parcel in the carrier's parcel tracking system to indicate that the parcel has been delivered. The carrier's parcel tracking system may then forward that information to one or more network devices, such as the server 118 and/or the backend API 120, which may then forward the information to the A/V recording and communication device 130.
In another example embodiment, determining that the parcel has been left within the area about the A/V recording and communication device 130 may comprise automatic identification and data capture (AIDC). For example, the parcel may include at least one of a barcode 320 (
AIDC encompasses obtaining external data, particularly through analysis of images and/or sounds. To capture data, a transducer may convert an image or a sound into a digital file. The file is then typically stored and analyzed by a computer, and/or compared with other files in a database, to verify identity and/or to provide authorization to enter a secured system. AIDC also refers to methods of recognizing objects, getting information about them, and entering that data or feeding it directly into computer systems without any human involvement. In biometric security systems, capture may refer to the acquisition of and/or the process of acquiring and identifying characteristics, such as finger images, palm images, facial images, or iris prints, which all may involve video data, or voice prints, which may involve audio data.
A barcode, such as the example barcode 320 shown in
A matrix code, such as the example matrix code 322 shown in
A bokode, such as the example bokode 324 shown in
Radio-frequency identification (RFID) uses electromagnetic fields to automatically identify and track tags attached to objects. The tags, such as the example RFID tag 326 shown in
The A/V recording and communication device 130 may capture information embedded in one of these types (or any other type) of AIDC technologies. For example, with reference to
AIDC and computer vision have significant overlap, and use of either one of these terms herein should be construed as also encompassing the subject matter of the other one of these terms. For example, the computer vision module 163 and the AIDC module 165 may comprise overlapping hardware components and/or functionality. In some embodiments, the computer vision module 163 and the AIDC module 165 may be combined into a single module.
With reference to
With further reference to
In one example embodiment, determining that the parcel has been removed from the area about the A/V recording and communication device 130 may comprise comparing video frames recorded by the camera 154 of the A/V recording and communication device 130. For example, after a parcel has been determined to have been left within the area about the A/V recording and communication device 130, the parcel is likely to remain motionless in the position where it was left. Thus, if the parcel is present within the camera's field of view at a first time (in a first video frame), and is no longer present within the camera's field of view at a second time after the first time (in a second video frame), then the parcel may be determined to have been removed from the area about the A/V recording and communication device 130.
In another example embodiment, determining that the parcel has been removed from the area about the A/V recording and communication device 130 may comprise AIDC. For example, if the parcel includes an RFID tag, then an RFID reader of the AIDC module 165 may detect that the RFID tag no longer responds to interrogation signals. In some embodiments, if the RFID reader sends a threshold number of interrogation signals and receives no response from the RFID tag of the parcel, the process may determine that the parcel has been removed from the area about the A/V recording and communication device 130. In some embodiments, the threshold number of interrogation signals with no response may be one interrogation signal, or two interrogation signals, or three interrogation signals, or any other number of interrogation signals.
With further reference to
In one example embodiment, determining whether removal of the parcel from the area about the A/V recording and communication device 130 was authorized may comprise detecting (or tracking) a direction of movement of the parcel. For example, when a parcel is left outside the front entrance of a home, the homeowner (or other occupant) will typically pick up the parcel and bring it inside the home. A parcel thief, by contrast, will typically pick up the parcel and carry it away from the home. Thus, if the A/V recording and communication device 130 detects that the parcel is moving toward a structure to which the A/V recording and communication device 130 is secured (or with which the A/V recording and communication device 130 is associated), then the process may determine that the removal of the parcel from the area about the A/V recording and communication device 130 is authorized. But, if the A/V recording and communication device 130 detects that the parcel is moving away from the structure to which the A/V recording and communication device 130 is secured (or with which the A/V recording and communication device 130 is associated), then the process may determine that the removal of the parcel from the area about the A/V recording and communication device 130 is unauthorized.
In another example embodiment, determining whether removal of the parcel from the area about the A/V recording and communication device 130 was authorized may comprise AIDC and/or computer vision. For example, if an authorized person (e.g. the addressee of the parcel) removes the parcel from the area about the A/V recording and communication device 130, the A/V recording and communication device 130 may receive information from the authorized person. For example, the authorized person may present identification or credentials to the A/V recording and communication device 130. The camera 154 and/or the AIDC module 165 and/or the processor 160 of the A/V recording and communication device 130 may receive information from the identification or credentials for use in determining that the person removing the parcel from the area about the A/V recording and communication device 130 is an authorized person. If no identification or credentials are presented when the parcel is removed from the area about the A/V recording and communication device 130, or if identification or credentials are presented but they do not match an expected identification or credentials, then the process may determine that the person removing the parcel from the area about the A/V recording and communication device 130 is not an authorized person. In some embodiments, the A/V recording and communication device 130 may provide a prompt, such as a voice prompt emitted through the speaker, requesting identification or credentials when a person is detected within the area about the A/V recording and communication device 130 and/or when the A/V recording and communication device 130 detects that the parcel has been moved or picked up.
Examples of identification or credentials that could be used in the foregoing processes include, without limitation, a card (or other carrier or substrate) bearing a barcode 320, or a matrix code 322, or a bokode 324, or an RFID tag 326, or an embedded integrated circuit (such as in a smart card, a chip card, or an integrated circuit card (ICC)), or a magnetic stripe.
A smart card, chip card, or integrated circuit card (ICC), such as the example smart card 340 shown in
A magnetic stripe card, such as the example card 344 shown in
Further examples of identification or credentials that could be used in the foregoing processes include, without limitation, a card (or other carrier or substrate) bearing text that can be received as input by the AIDC module 165 and/or the camera 154 and/or the processor 160 through optical character recognition (OCR). OCR is the mechanical or electronic conversion of images of typed, handwritten, or printed text into machine-encoded text.
Further examples of AIDC and/or computer vision that can be used in the present embodiments to verify the identity and/or authorization of a person include, without limitation, biometrics. Biometrics refers to metrics related to human characteristics. Biometrics authentication (or realistic authentication) is used in various forms of identification and access control. Biometric identifiers are the distinctive, measurable characteristics used to label and describe individuals. Biometric identifiers can be physiological characteristics and/or behavioral characteristics. Physiological characteristics may be related to the shape of the body. Examples include, but are not limited to, fingerprints, palm veins, facial recognition, three-dimensional facial recognition, skin texture analysis, DNA, palm prints, hand geometry, iris recognition, retina recognition, and odor/scent recognition. Behavioral characteristics may be related to the pattern of behavior of a person, including, but not limited to, typing rhythm, gait, and voice recognition.
The present embodiments may use any one, or any combination of more than one, of the foregoing biometrics to identify and/or authenticate a person who removes the parcel from the area about the A/V recording and communication device 130. For example, the computer vision module 163, the AIDC module 165, and/or the camera 154 and/or the processor 160 may receive information about the person using any one, or any combination of more than one, of the foregoing biometrics.
Another aspect of determining whether removal of the parcel from the area about the A/V recording and communication device 130 was authorized may comprise comparing information received through the AIDC (and/or computer vision) to information about one or more persons. With reference to
In some embodiments, the information in the AIDC query signal 330 may be compared with information about one or more persons who are authorized to remove parcels from the area about the A/V recording and communication device 130. For example, biometric information (or other AIDC/computer vision information) about one or more authorized persons may be uploaded and stored at one or more databases and/or services accessible to the one or more network devices, such as the server 118 and/or the backend API 120. Comparison(s) between this information and the information in the AIDC query signal 330 may determine whether a person detected in the area about the A/V recording and communication device 130 is an authorized person or not. The comparison(s) may be performed by one or more network devices, such as the server 118 and/or the backend API 120, for example.
In other embodiments, the information in the AIDC query signal 330 may be compared with information about one or more persons who have been reported in connection with one or more crimes and/or suspicious events. In some embodiments, the crime(s) and/or suspicious event(s) may have occurred within a defined radius of the A/V recording and communication device 130. For example, a first user of an A/V recording and communication device may view video footage that was recorded by his or her device and determine that the person or persons in the video footage are, or may be, engaged in suspicious activity and/or criminal activity. The first user may then share that video footage with one or more other people, such as other users of A/V recording and communication devices, and/or one or more organizations, including one or more law enforcement agencies. The present embodiments may leverage this shared video footage for use in comparing with the information in the AIDC query signal 330 to determine whether a person detected in the area about the A/V recording and communication device 130 is the same person that was the subject of (and/or depicted in) the shared video footage. If a person detected in the area about the A/V recording and communication device 130 is the same person that was reported in connection with one or more crimes and/or suspicious events, then that person is probably not a person who is authorized to remove parcels from the area about the A/V recording and communication device 130. In some embodiments, the person (or persons) depicted in the shared video footage may be a perpetrator(s) of one or more parcel thefts. Further, those parcel thefts may have occurred within a defined radius about the A/V recording and communication device 130. Further description of sharing video footage from A/V recording and communication devices is provided in U.S. patent application Ser. No. 15/387,471 (filed on Dec. 12, 2016 and entitled “SHARING VIDEO FOOTAGE FROM AUDIO/VIDEO RECORDING AND COMMUNICATION DEVICES”) and Ser. No. 15/387,444 (filed on Dec. 12, 2016 and entitled “SHARING VIDEO FOOTAGE FROM AUDIO/VIDEO RECORDING AND COMMUNICATION DEVICES”), both of which are incorporated herein by reference in their entireties as if fully set forth.
In another example embodiment, AIDC and/or computer vision may comprise the camera 154 of the A/V recording and communication device 130 capturing an image of a person in the area about the A/V recording and communication device 130. The image of the person may comprise an image of the person's face. The image of the person's face may be compared with image(s) of the face(s) of at least one other person. In some embodiments, the at least one other person may be a person or persons who were reported in connection with suspicious activity and/or criminal activity, such as parcel theft. The comparison(s) may be performed by one or more network devices, such as the server 118 and/or the backend API 120. If a match is found between the image of the person's face captured by the camera 154 of the A/V recording and communication device 130 and the at least one image of the face(s) of at least one other person, then the process may determine that removal of the parcel from the area about the A/V recording and communication device 130 was unauthorized. The process may then generate an alert, which may comprise any or all of the alert types described herein.
With further reference to
With further reference to
In some embodiments, the alert may comprise an audible alarm emitted from the speaker 152 of the A/V recording and communication device 130. The audible alarm may be any loud noise likely to attract attention and/or startle the unauthorized person, making it more likely that he or she will flee without absconding with the parcel(s). In some embodiments, the alert may comprise an announcement emitted from the speaker 152 of the A/V recording and communication device 130. The announcement may comprise a verbal warning that the area about the A/V recording and communication device 130 is being recorded. The unauthorized person, upon being informed that the area about the A/V recording and communication device 130 is being recorded, may decide to flee the scene without absconding with the parcel(s). In some embodiments, the alert may comprise both an audible alarm and an announcement in combination. Also in some embodiments, the alert may comprise any combination of an alert signal sent to a client device, an audible alarm emitted from the speaker 152 of the A/V recording and communication device 130, and an announcement emitted from the speaker 152 of the A/V recording and communication device 130.
Some of the present embodiments may comprise identifying a parcel within the area about the A/V recording and communication device 130. In some embodiments, identifying the parcel may comprise the camera 154 of the A/V recording and communication device 130 capturing an image of an identifying mark on the parcel. In various embodiments, the identifying mark may be, for example, a company logo or other identifying symbol. The identifying mark on the parcel may be compared with a plurality of identifying marks in a database. If a match is found, the parcel may be identified as originating with the sender associated with the matching identifying mark. In other embodiments, the identifying mark may be, for example, a barcode, a matrix code, a bokode, etc. In some embodiments, RFID (or other similar technology) may be used to identify a parcel.
With further reference to
With further reference to
In some of the present embodiments, the processes described above, including the processes described with reference to
In one example embodiment, the user may manually enable parcel protection mode in response to a notification that a parcel has been delivered. For example, with reference to
Regardless of the form of notification, and with further reference to
As described above, a user may disable the parcel protection mode manually in the same manner that the user enables this feature/mode (e.g., through a GUI of an application that is associated with the A/V recording and communication device). Some of the present embodiments may also disable the parcel protection mode automatically (e.g., without a user's intervention). Some such embodiments may disable the parcel protection mode when a parcel is removed from an area about an A/V recording and communication device by an authorized person (e.g., the homeowner, a friend or family member of the homeowner, or any other person authorized by the homeowner). Different embodiments may realize that a parcel is removed (e.g., from the field of view of a camera of an A/V recording and communication device) by an authorized person through different methods. Some aspects of the present embodiments may verify a person as an authorized person by authenticating the person's biometrics. As an example, one aspect of the present embodiments identifies the person's face (e.g., by performing a face recognition process, as described above) and compares the identification data with one or more databases that contain authorized persons' identification data.
Some of the present embodiments may disable a parcel protection mode when these embodiments determine that an authorized user is at, or within a threshold vicinity of, the location of the parcel. Some embodiments make such a determination by comparing a current location of the authorized user (e.g., by locating a client device that the user carries) and the location of the parcel. Some other embodiments may determine that a parcel is picked up by an authorized person when the parcel moves in a specific direction (e.g., toward the house instead of away from the house). Some of the present embodiments may realize that the parcel is being moved toward the house, e.g., by comparing a sequence of video images of the moving parcel captured by a camera of the A/V recording and communication device. Some other embodiments may use an AIDC module (e.g., an RFID reader) of the A/V recording and communication device to determine the direction of movement of a parcel (e.g., when the parcel includes a barcode, a matrix code, an RFID tag, etc.).
In any of the present embodiments, various aspects of methods may be performed locally, e.g. by one or more components of the A/V recording and communication device 130, and/or remotely, e.g. by one or more network devices, such as the server 118 and/or the backend API 120, for example. For example, the processor 160 of the A/V recording and communication device 130 may perform various aspects such as, but not limited to, comparing video frames recorded by the camera 154 of the A/V recording and communication device 130 to determine whether a parcel has been left within the area about the A/V recording and communication device 130 and/or that the parcel has been removed from the area about the A/V recording and communication device 130.
Many of the present embodiments have been described with reference to persons detected by, or present in the area about, the A/V recording and communication device 130. The present embodiments are not limited, however, to scenarios involving humans. For example, the present embodiments contemplate that a parcel thief need not be a human. A parcel theft bot or drone, for example, may be encompassed by any of the present embodiments. For example, in a process similar to any process described herein, after a parcel has been left within the area about the A/V recording and communication device 130, the process may detect a parcel theft bot or drone within the area about the A/V recording and communication device 130. The process may also record, with the camera 154 of the A/V recording and communication device 130, video images of the parcel theft bot or drone within the area about the A/V recording and communication device 130.
Any of the present embodiments may comprise a designated parcel delivery area. For example, a user may designate a particular area about the A/V recording and communication device 130 as a parcel delivery area. The parcel delivery area may be demarcated in any suitable manner, such as with markings and/or text provided on the pavement and/or adjacent wall(s). Processes of determining whether a parcel has been left within the area about the A/V recording and communication device 130 and/or determining whether the parcel has been removed from the area about the A/V recording and communication device 130 may comprise determining whether an object has been left within and/or removed from the designated parcel delivery area. The user may, in some embodiments, direct or aim the camera 154 of the A/V recording and communication device 130 toward the designated parcel delivery area to facilitate determining whether an object has been left within and/or removed from the designated parcel delivery area.
As described above, the present embodiments advantageously leverage the functionality of A/V recording and communication devices to deter parcel theft and/or to identify and apprehend parcel thieves. Various embodiments may determine when one or more parcels have been left within and/or removed from the area about the A/V recording and communication device. When one or more parcels are removed from the area about the A/V recording and communication device, various embodiments may determine whether such removal was authorized and, if desired, generate an alert. The user may then determine what, if anything, to do in response to the alert, such as notifying law enforcement and/or sharing video footage of the parcel theft, such as via social media.
With reference to
The memory 804 may include both operating memory, such as random access memory (RAM), as well as data storage, such as read-only memory (ROM), hard drives, flash memory, or any other suitable memory/storage element. The memory 804 may include removable memory elements, such as a CompactFlash card, a MultiMediaCard (MMC), and/or a Secure Digital (SD) card. In some embodiments, the memory 804 may comprise a combination of magnetic, optical, and/or semiconductor memory, and may include, for example, RAM, ROM, flash drive, and/or a hard disk or drive. The processor 802 and the memory 804 each may be, for example, located entirely within a single device, or may be connected to each other by a communication medium, such as a USB port, a serial port cable, a coaxial cable, an Ethernet-type cable, a telephone line, a radio frequency transceiver, or other similar wireless or wired medium or combination of the foregoing. For example, the processor 802 may be connected to the memory 804 via the dataport 810.
The user interface 806 may include any user interface or presentation elements suitable for a smartphone and/or a portable computing device, such as a keypad, a display screen, a touchscreen, a microphone, and a speaker. The communication module 808 is configured to handle communication links between the client device 800 and other, external devices or receivers, and to route incoming/outgoing data appropriately. For example, inbound data from the dataport 810 may be routed through the communication module 808 before being directed to the processor 802, and outbound data from the processor 802 may be routed through the communication module 808 before being directed to the dataport 810. The communication module 808 may include one or more transceiver modules capable of transmitting and receiving data, and using, for example, one or more protocols and/or technologies, such as GSM, UMTS (3GSM), IS-95 (CDMA one), IS-2000 (CDMA 2000), LTE, FDMA, TDMA, W-CDMA, CDMA, OFDMA, Wi-Fi, WiMAX, or any other protocol and/or technology.
The dataport 810 may be any type of connector used for physically interfacing with a smartphone and/or a portable computing device, such as a mini-USB port or an IPHONE®/IPOD® 30-pin connector or LIGHTNING® connector. In other embodiments, the dataport 810 may include multiple communication channels for simultaneous communication with, for example, other processors, servers, and/or client terminals.
The memory 804 may store instructions for communicating with other systems, such as a computer. The memory 804 may store, for example, a program (e.g., computer program code) adapted to direct the processor 802 in accordance with the present embodiments. The instructions also may include program elements, such as an operating system. While execution of sequences of instructions in the program causes the processor 802 to perform the process steps described herein, hard-wired circuitry may be used in place of, or in combination with, software/firmware instructions for implementation of the processes of the present embodiments. Thus, the present embodiments are not limited to any specific combination of hardware and software.
The computer system 900 may execute at least some of the operations described above. The computer system 900 may include at least one processor 910, memory 920, at least one storage device 930, and input/output (I/O) devices 940. Some or all of the components 910, 920, 930, 940 may be interconnected via a system bus 950. The processor 910 may be single- or multi-threaded and may have one or more cores. The processor 910 may execute instructions, such as those stored in the memory 920 and/or in the storage device 930. Information may be received and output using one or more I/O devices 940.
The memory 920 may store information, and may be a computer-readable medium, such as volatile or non-volatile memory. The storage device(s) 930 may provide storage for the system 900, and may be a computer-readable medium. In various aspects, the storage device(s) 930 may be a flash memory device, a hard disk device, an optical disk device, a tape device, or any other type of storage device.
The I/O devices 940 may provide input/output operations for the system 900. The I/O devices 940 may include a keyboard, a pointing device, and/or a microphone. The I/O devices 940 may further include a display unit for displaying graphical user interfaces, a speaker, and/or a printer. External data may be stored in one or more accessible external databases 960.
The features of the present embodiments described herein may be implemented in digital electronic circuitry, and/or in computer hardware, firmware, software, and/or in combinations thereof. Features of the present embodiments may be implemented in a computer program product tangibly embodied in an information carrier, such as a machine-readable storage device, and/or in a propagated signal, for execution by a programmable processor. Embodiments of the present method steps may be performed by a programmable processor executing a program of instructions to perform functions of the described implementations by operating on input data and generating output.
The features of the present embodiments described herein may be implemented in one or more computer programs that are executable on a programmable system including at least one programmable processor coupled to receive data and/or instructions from, and to transmit data and/or instructions to, a data storage system, at least one input device, and at least one output device. A computer program may include a set of instructions that may be used, directly or indirectly, in a computer to perform a certain activity or bring about a certain result. A computer program may be written in any form of programming language, including compiled or interpreted languages, and it may be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.
Suitable processors for the execution of a program of instructions may include, for example, both general and special purpose processors, and/or the sole processor or one of multiple processors of any kind of computer. Generally, a processor may receive instructions and/or data from a read only memory (ROM), or a random access memory (RAM), or both. Such a computer may include a processor for executing instructions and one or more memories for storing instructions and/or data.
Generally, a computer may also include, or be operatively coupled to communicate with, one or more mass storage devices for storing data files. Such devices include magnetic disks, such as internal hard disks and/or removable disks, magneto-optical disks, and/or optical disks. Storage devices suitable for tangibly embodying computer program instructions and/or data may include all forms of non-volatile memory, including for example semiconductor memory devices, such as EPROM, EEPROM, and flash memory devices, magnetic disks such as internal hard disks and removable disks, magneto-optical disks, and CD-ROM and DVD-ROM disks. The processor and the memory may be supplemented by, or incorporated in, one or more ASICs (application-specific integrated circuits).
To provide for interaction with a user, the features of the present embodiments may be implemented on a computer having a display device, such as an LCD (liquid crystal display) monitor, for displaying information to the user. The computer may further include a keyboard, a pointing device, such as a mouse or a trackball, and/or a touchscreen by which the user may provide input to the computer.
The features of the present embodiments may be implemented in a computer system that includes a back-end component, such as a data server, and/or that includes a middleware component, such as an application server or an Internet server, and/or that includes a front-end component, such as a client computer having a graphical user interface (GUI) and/or an Internet browser, or any combination of these. The components of the system may be connected by any form or medium of digital data communication, such as a communication network. Examples of communication networks may include, for example, a LAN (local area network), a WAN (wide area network), and/or the computers and networks forming the Internet.
The computer system may include clients and servers. A client and server may be remote from each other and interact through a network, such as those described herein. The relationship of client and server may arise by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
The above description presents the best mode contemplated for carrying out the present embodiments, and of the manner and process of practicing them, in such full, clear, concise, and exact terms as to enable any person skilled in the art to which they pertain to practice these embodiments. The present embodiments are, however, susceptible to modifications and alternate constructions from those discussed above that are fully equivalent. Consequently, the present invention is not limited to the particular embodiments disclosed. On the contrary, the present invention covers all modifications and alternate constructions coming within the spirit and scope of the present disclosure. For example, the steps in the processes described herein need not be performed in the same order as they have been presented, and may be performed in any order(s). Further, steps that have been presented as being performed separately may in alternative embodiments be performed concurrently. Likewise, steps that have been presented as being performed concurrently may in alternative embodiments be performed separately.
Claims
1. A method for parcel protection, the method comprising:
- determining, at a network device, that a parcel has been left in an area about an audio/video recording and communication device (A/V device);
- sending an activation signal to set the A/V device in a parcel protection mode;
- receiving, from the A/V device while in the parcel protection mode, at least one image depicting a face of a person removing the parcel from the area about the A/V device;
- comparing the image to at least one other image stored in a database, the database including images of previously-identified persons involved in an activity; and
- generating an alert when the at least one image matches the at least one other image.
2. The method of claim 1, the activity including criminal activity.
3. The method of claim 1, the activity including parcel theft.
4. The method of claim 1, the database including images of previously-identified persons involved in the activity within a defined area about a location of the A/V device.
5. The method of claim 1, the database including images previously published and captured by other A/V devices within a defined area.
6. The method of claim 1, the alert indicating that removal of the parcel is unauthorized.
7. The method of claim 1, further comprising sending the alert to a client device associated with the A/V device.
8. The method of claim 7, the alert comprising audio and/or video data generated by the A/V device.
9. The method of claim 1, further comprising sending a signal to cause the A/V device to emit audio from a speaker of the A/V device.
10. The method of claim 9, the audio comprising one of an audible alarm or an announcement.
11. The method of claim 1, the determining that the parcel has been left comprising:
- receiving, from the A/V device, information of an object near the A/V device; and
- comparing the information with other information in one or more databases to determine whether the object is a parcel.
12. A method for automatic parcel protection, the method comprising:
- determining that a parcel has been left in an area about an audio/video recording and communication device (A/V device);
- transitioning the A/V device into a parcel protection mode;
- capturing at least one image of a person removing the parcel;
- sending the at least one image to a network device;
- receiving, from the network device, a signal; and
- in response to the signal, generating audio from a speaker of the A/V device.
13. The method of claim 12, further comprising determining that the parcel is being removed.
14. The method of claim 12, the determining that the parcel has been left comprising:
- capturing an image of an object using a camera of the A/V device; and
- determining, within a vision processing unit of the A/V device, that the object is a parcel.
15. The method of claim 14, the vision processing unit comprising an artificial intelligence (AI) accelerator.
16. The method of claim 14, the vision processing unit running a machine vision algorithm selected from the group comprising a convolutional neural network and smart information flow technologies (SIFT).
17. The method of claim 12, the determining that the parcel has been left comprising:
- sending information of the object to a network device; and
- receiving, from the network device, an indication that the object is a parcel.
18. The method of claim 12, the determining that the parcel has been left comprising receiving, from a network device, a signal indicating that the parcel has been left.
Type: Application
Filed: Jun 19, 2020
Publication Date: Oct 8, 2020
Inventors: Elliott Lemberger (Santa Monica, CA), James Siminoff (Pacific Palisades, CA), Joshua Roth (Pacific Palisades, CA)
Application Number: 16/906,657