Abstract: A system can use a video analytic algorithm and/or other input parameters to identify an event (e.g., theft). Optionally, the system can take action in response. For example, the security system can use video analytics to determine that a person has reached into a shelf multiple times at a rate above a threshold, which can indicate that a thief is quickly removing items from the shelf. A monitoring system can monitor other areas for breaches, such as an entrance to a store or residence. Monitoring entrances and/or exits can be used to determine occupancy, or to determine rush events to prompt customer service action, such as opening additional point of sale stations.

Abstract: There is provided a system configured to trigger system configured to trigger a function, said system comprising: at least one actuator that is associated with said function; an image capturing sensor; a computing device comprising a data processor, and a computer program product comprising a machine learning model trained for detecting an intent of a person to operate said at least one actuator, wherein said computer program product when running on said data processor: receives at least one image from said image capturing sensor; analyzes said at least one image, the analyzing comprises: subjecting said at least one image to said machine learning model; detecting presence of said intent to operate said at least one actuator in said at least one image, and triggers said function upon detecting said intent.

Abstract: A mobile device includes an application processor and an image sensor. The application processor includes an imaging subsystem configured to process high resolution image data through a first interface and a sensor hub configured to process sensor data through a second interface. The image sensor operates in one of first and second modes. The image sensor is configured to capture the high resolution image data in response to a request from the imaging subsystem and the imaging subsystem is configured to access the high resolution image data using the first interface for performing a first operation, during the first mode. The image sensor is configured to capture low resolution image data and the sensor hub is configured to access the low resolution image data using the second bus for performing a second operation, during the second mode.

Abstract: Door open monitoring for an intelligent device is disclosed. In a method for monitoring a door of an intelligent device according to an exemplary embodiment of the present disclosure, it is decided whether to send a message relating to the ventilation of the inside of a drum by analyzing an image generated through a camera placed in the door. A door monitoring system of the present disclosure may be associated with an artificial intelligent module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a 5G service-related device, etc.

Abstract: A computer-implemented method for image capture by a mobile device, comprising: receiving, by a video capturing application running on a mobile device, a video stream from a camera of the mobile device; identifying a specific frame of the video stream; generating a plurality of hypotheses defining image borders within the specific frame; selecting, by a neural network, a particular hypothesis among the plurality of hypotheses; producing a candidate image by applying the particular hypothesis to the specific frame; determining a value of a quality metric of the candidate image; determining that the value of the quality metric of the candidate image exceeds one or more values of the quality metric of one or more previously processed images extracted from the video stream; wherein the image capture application is a zero-footprint application.

Abstract: A human detection device, which analyzes a fisheye image obtained by a fisheye camera installed above a detection target area to detect a person present in the detection target area, includes: a detector configured to detect a human body candidate and an object from a fisheye image; and an erroneous detection determination unit configured to determine whether or not the human body candidate has been erroneously detected based on a positional relationship between a detection position of the human body candidate and a detection position of the object present around the human body candidate.

Abstract: A data storage device and method for progressive fading for video surveillance systems are provided. In one embodiment, a data storage device is provided comprising a memory and a controller. The controller is configured to store a plurality of digital video frames in the memory over time; and create free space in the memory by deleting some of the plurality of digital video frames across a plurality of subsets of digital video frames, wherein fewer digital video frames are deleted from a subset stored more recently in time than from a subset stored less recently in time. Other embodiments are provided.

Abstract: Methods, systems, and devices for deterrence techniques using a security and automation system are described. In one method, the system may receive a set of inputs from one or more sensors of the security and automation system. The system may determine one or more characteristics of a person proximate the security and automation system based at least in part on the received set of inputs. The system may predict an event based at least in part on a correlation between the one or more characteristics and the event. The system may perform one or more security and automation actions prior to the predicted event.

Abstract: An object detection method of effectively increasing identification accuracy is applied to a camera apparatus and includes acquiring a reference image and a second reference image containing a specific surveillance area respectively via a first exposure parameter and a second exposure parameter greater than the first exposure parameter, utilizing the first exposure parameter and the second exposure parameter to respectively capture a first detection image and a second detection image during an object detection period, computing a first pixel value variation between the first reference image and the first detection image and a second pixel value variation between the second reference image and the second detection image, and comparing the first pixel value variation with the second pixel value variation to determine whether a target object is within the specific surveillance area.

Abstract: An appliance includes a camera for calibrating and determining whether the door of the appliance is in a closed position. A controller is operably coupled to the camera. The controller is configured for obtaining one or more images of the appliance chamber or door. An artificial intelligence image recognition process is used to perform image classification and establish a baseline image to determine whether subsequent closing of the appliance door is successful. In the event of a failure to obtain the baseline image or a determination that the door is not closed, operation of the appliance may be disabled.

Abstract: A power supply system includes a vehicle equipped with a battery, a power supply device, and a control device that controls power supply from the power supply device to the vehicle. The vehicle includes an engine and a motor that receives the power supplied from the battery to generate traveling drive force. When the power supply by the power supply device is requested from the vehicle, the control device (a) acquires a remaining amount of fuel for the engine from the vehicle, (b) outputs an instruction to urge the vehicle to shorten a charging time when the remaining amount of fuel is larger than a reference value, and (c) sets at least one of a unit price for charging power or a unit price for fuel lower when a response to accept the instruction is received from the vehicle compared with when the instruction is not accepted.

Abstract: A doorbell system includes a doorbell located within a wireless local area network (WLAN) and communicatively connected to a wireless wide area network (WAN), a number of user devices communicatively connected to the WAN, and a controller. The doorbell includes an activation element and a monitoring element. The controller is configured to receive an indication of a user engaging the activation element of the doorbell and to select at least one of the user devices for display of an alert based on a priority status of the user devices. The system may alter or update the priority status of the user devices based on a user-dependent parameter of the priority devices, such as the users' schedules, sleep status, geo-location, or status as a caregiver.

Abstract: A method, performed by an image-capturing device, for installing the image-capturing device on a network. The image-capturing device operates according to an installation mode in which a limited set of persistent software settings of the image-capturing device can be changed and an installation-mode video stream which is privacy safe is anonymously accessible. The method comprises providing the installation-mode video stream in response to connecting the image-capturing device to the network.

Abstract: A drive recorder to be mounted on a vehicle includes an acquisition unit, a recording unit, a communication unit, and a control unit. The acquisition unit acquires data representing driving condition. The recording unit records the acquired data. The communication unit transmits the acquired data to the outside. The control unit controls the quality of the data to be transmitted based on the information received from the outside.

Abstract: An apparatus comprising an interface and a processor. The interface may be configured to receive pixel data corresponding to a monitored area. The processor may be coupled to the interface and may be configured to (i) process the pixel data arranged as video frames, (ii) perform computer vision operations to detect an object in the video frames, (iii) extract characteristics about the object detected, (iv) generate a three-dimensional (3D) map of the object utilizing the pixel data corresponding to the object, (v) determine whether the object is within a three-dimensional (3D) virtual security zone based on the 3D map of the object, and (vi) generate a trigger signal in response to all or a portion of the object being within the 3D virtual security zone. The 3D virtual security zone is generally determined by a user during a setup procedure.

Abstract: Systems, devices, and methods redact one or more light-emitting screens in data recorded on a recording device. The redaction may include receiving recorded data comprising a plurality of pixel values. The redaction may include detecting one or more light-emitting screens in the received image. The redaction may include redacting a subset of the pixel values from the recorded associated with the one or more detected light-emitting screens. The redaction may be commonly applied to multiple frames of recorded data through the use of a unique identifier assigned to a same detected light-emitting screen. A same light-emitting screen may be tracked across multiple non-sequential or sequential frames and assigned a same unique identifier.

Abstract: A intelligent long-distance infrared fill-light set for illuminating a predetermined target range at least 500 meters away cooperates with an infrared image-acquisition equipment to obtain an image of an illuminated-object, and includes: infrared fill-lights each including an optical lens, optical axis passing through a focus, infrared light sources emitting an infrared beam having a main beam angle, to generate a substantial overlapping area and at least one non-overlapping area when illuminating to the predetermined target range; enabling devices that enable light sources; and a control unit receiving image data acquired by the infrared image-acquisition equipment, for calculating and adjusting the enabling device to locally strengthen or weaken the substantial overlapping area and/or non-overlapping area.

Abstract: An electronic device displays a first user interface with a first representation of content and, in response to receiving a request to display a virtual model that corresponds to the content, displays the virtual model of the content concurrently with a selectable user interface object for performing the operation associated with the content in accordance with a determination that the first user interface is configured to perform an operation associated with the content and displaying the virtual model of the content without displaying the selectable user interface object for performing the operation associated with the content in accordance with a determination that the first user interface is not configured to perform the operation associated with the content.

Abstract: Systems and methods for determining the location of personnel on a drilling site. A computer vision system can automatically identify and determine the locations of personnel on a drilling site, can generate a confidence map of the locations, and can display the locations of the personnel on a map of the drilling site. The system and methods also include taking corrective action when a person's location is determined to be unsafe, such as by inhibiting or causing automated actions with respect to machinery and equipment at the drilling site. The systems and methods may include the use of multiple cameras or video sources located at the drilling site and may be coupled to a control system to control machinery or equipment at the drilling site.

Abstract: Systems and methods are provided for object re-identification. In many scenarios, it would be useful to be able to monitor the movement, actions, etc. of an object, such as a person, moving into and between different camera views of a monitored space. A network of cameras and client edge devices may detect and identify a particular object, and when that object re-appears in another camera view, a comparison can be performed between the data collected regarding the object upon its initial appearance and upon its re-appearance to determine if they are the same object. In this way, data regarding an object can be captured, analyzed, or otherwise processed despite moving from one camera view to another.

Abstract: The present technology is directed to presenting a 3-D representation of an object, which is captured in a 2-D image of the object in an environment in a 3-D simulation of the environment. The present technology can receive 3-D data representing the environment including image data of the object in the environment, and a label identifying the object. The present technology can further locate a position of the object in the 3-D simulation of the environment based on determining a depth and an orientation of the object in the environment based on a semantic database of attributes associated with the object, obtain a 3-D representation of the object from the semantic database of attributes associated with the object, and project the 3-D representation of the object into the 3-D simulation of the environment at the determined position for the object.

Abstract: A machine may receive, from one or more sensors, first data indicating a first position of a work implement within an environment and second data indicating a second position of the work implement within the environment. Based on the first position and the second position, the machine may define a working area of the work implement. The machine may receive, from one or more cameras, image data depicting at least a portion of the environment and at least a portion an object disposed within a field of view of the one or more cameras. The machine may determine, based on the image data, that the object is located outside of the working area. Based on determining that the object is located outside of the working area, the machine may refrain from causing output of an alert indicating the presence of the object outside the working area.

Abstract: The present disclosure generally relates to providing electronic locking systems. Using novel designs and network technology, the present systems, methods, and apparatuses can provide a secure alternative to a cam lock or a lock box for storing items that may be left unattended, without the use of a physical key. For example, in certain embodiments, the present systems, methods, and apparatuses can facilitate the locking and unlocking of a cam lock or a lock box by using a digital construct, an encryption system, and various native and/or third-party software components.

Abstract: A display apparatus which is connected to a controller and capable of precisely and quickly shifting the display position of a pointer to the position of a desired object in a three-dimensional display area. When a two-dimensional directional command has not been issued on the controller by an operator, the display apparatus shifts into a first operation state in which a display position of the pointer is shifted according to the tilt and/or displacement of the controller. When a two-dimensional directional command has been issued on the controller by the operator, the display apparatus shifts into a second operation state in which the display position of the pointer is shifted based on two coordinate axes in the display area according to the directional command issued on the controller. In the second operation state, the two coordinate axes are varied according to the tilt of the external control apparatus.

Abstract: Disclosed are methods and systems that can maintain patient privacy in a video stream of a medical facility by obfuscating all patient identity information such that the patient's identity and medical information is protected. In addition, the system and methods disclosed herein can limit the change in the perspective of the camera based on a defined privacy zone in the medical facility such that the privacy zone is not in the field of view of the camera.

Abstract: An image processing apparatus comprises a setting unit configured to set, based on a detection line that is set in a display screen, a patch region in the display screen, the patch region including a detection region serving as a region for detecting a position of an object, and a counting region encompassed by the detection region, and a counting unit configured to count, from among intersection points between a movement vector in the detection region of an object moving inside the display screen or a locus based on the movement vector and the detection line in the detection region, intersection points located in the counting region.

Abstract: A doorbell system can be used to block a first electricity that is less than a first threshold from entering an electronic chime. By blocking the first electricity from entering the electronic chime, the electronic chime is not allowed to emit a notification sound. The doorbell system can also be used to allow a second electricity that is greater than the first threshold to enter the electronic chime. By allowing the second electricity to enter the electronic chime, this can allow the electronic chime to emit a notification sound in response to a visitor being present.

Abstract: The present disclosure relates to a system for tracking wildlife such as game animals. The tracking system includes a drone that has a camera and a dart dispenser that dispenses a dart with a location transmitter. The drone sends images from the camera to a remote controller, where a user pilots the drone and observes animals for disease or other behaviors, and sends instructions to dispense the dart. The real-time location of the dart is then provided to a mobile application for use in tracking or hunting the animal.

Abstract: Systems and methods include a monitoring system. The monitoring system includes a camera apparatus and a server. The camera apparatus includes a mounting base adapted to mount to a structure and a plurality of sensors including an array of image sensors arranged to simultaneously capture a combined 360 degree view around the camera apparatus. The server includes a network interface and a processor communicatively coupled to one another. The server also includes memory storing instructions that, when executed, cause the processor to obtain a data from the camera apparatus including a plurality of images from the combined 360 degree view around the camera apparatus, generate a model of the commercial location using the data, and display information from the model within images from the combined 360 degree view to a user while a user is viewing the images in real time.

Abstract: A turning control apparatus, for a turning-type working machine, includes: a target stop position setting unit setting the target stop position of the turning body and a turning command unit. The target stop position setting unit includes an image taking device, an image processing device forming an overhead view image of the work machine and surrounding objects based on the taken image; an image display command unit making a target stop position setting image including the overhead view image be displayed on a display screen of the image display device, a setting operation member to which a position setting operation for setting a target stop position with reference to the position of the image of the work machine and surrounding objects included in the overhead view image is applied, and a target stop position determination unit that determines a target stop position based on the position setting operation.

Abstract: Example implementations include a method, apparatus and computer-readable medium for controlling a camera, comprising receiving a video sequence of a scene. The method includes determining one or more scene description metadata in the scene from the video sequence. The method includes identifying one or more scene object types in the scene based on the one or more scene description metadata. The method includes determining one or more rules based on one or both of the scene description metadata or the scene object types, each rule configured to generate an event based on a detected object following a rule-specific pattern of behavior. The method includes applying the one or more rules to operation of the camera.

Abstract: In one embodiment, a computing system may determine a pose of a controller held by a user based on sensor data captured by the controller. The system may determine a pose of a headset worn by the user based on sensor data captured by the headset. The system may determine positions of a first set of keypoints associated with a body of the user based on (1) one or more first images captured by one or more cameras of the controller, (2) the pose of the controller, (3) one or more second images captured by one or more cameras of the headset and (4) the pose of the headset. The system may determine a full body pose of the user based at least on the positions of the first set of keypoints.

Abstract: Determine a current position of a camera relative to a road based on a set of imagery from the camera and a recommended position of the camera relative to the road based on the set of imagery from the camera, while the camera is maintained at a constant height relative to the road and a constant lateral distance relative to the road. The camera can be positionally adjusted from the current position to the recommended position based on a movement of the camera about a Y-axis or a Z-axis of the camera at that time relative to the road. In order to enable movement of the camera, a guide can be output to a user such that the user can follow the guide and move the camera from the current position to the recommended position.

Abstract: Systems and methods for storing videos in a storage device, more specifically in a digital video recorder (DVR). The method includes determining, for each video, a condition indicating a need to reduce the size of a respective video is determined. The condition being at least a storage period of the respective video being greater than a threshold time period. Upon determination reducing the video size either by reducing at least one quality parameter of the respective video or by eliminating at least one video segment of the video corresponding to an uneventful region. Further after the size reduction, storing the respective video as a modified version of the respective video in the storage device. Further, the video or a portion of video comprising important events can be shared with a remote device.

Abstract: The present disclosure relates to systems and methods for adjusting a monitoring device. The system may obtain one or more first monitoring images. The system may obtain, for each of one or more regions, a statistical value of at least one object in the region based on the one or more first monitoring images. The system may determine an adjustment instruction based on statistical values of the at least one object in the one or more regions. The system may adjust at least one monitoring setting of at least one monitoring device based on the adjustment instruction. The at least one monitoring device may be used to capture one or more second monitoring images.

Abstract: A sensor (e.g., an optical sensor) is disposed in an enclosure that separates it from an external environment. The enclosure includes an aperture comprising a transparent material. A laminate comprising a plurality of transparent films is coupled to the aperture such that the sensor has a field of view of the external environment through the transparent material of the aperture and the plurality of transparent films. The laminate includes an exposed transparent film that is exposed to the external environment and that is removable to expose an underlying film in the laminate when dirt, debris, or other obscuring material has collected on it. A laminate module that includes the laminate, a laminate sensor, and a peeling mechanism may be removably mounted on the aperture. The laminate sensor can sense the number of transparent films remaining in the laminate. The peeling mechanism can peel away individual transparent films in the laminate.

Abstract: A positioning system and a calibration method of an objection location are provided. The calibration method includes the following. Roadside location information of a roadside unit (RSU) is obtained. Object location information of one or more objects is obtained. The object location information is based on a satellite positioning system. An image identification result of the object or the RSU is determined according to images of one or more image capturing devices. The object location information of the object is calibrated according to the roadside location information and the image identification result. Accordingly, the accuracy of the location estimation may be improved.

Abstract: Image capture devices and methods may be used to pre-buffer media storage. The pre-buffering method includes recording an image capture segment in a circular buffer. The circular buffer includes a number of recordable segments. The pre-buffering method includes determining whether a key moment command is received. If a key moment command is not received, the method includes recording a next image capture segment in a next adjacent recordable segment of the circular buffer if the next adjacent recordable segment of the predetermined number of recordable segments is available. If a key moment command is not received, the method includes overwriting an oldest recordable segment if the next adjacent recordable segment of the predetermined number of recordable segments is not available. If a key moment command is received, the pre-buffering method includes marking a wrap point in the circular buffer and switching from recording in the circular buffer to linear recording.

Abstract: A monitoring apparatus 10 includes: a monitoring line setting unit 11 that sets a monitoring line in an image acquired from the image capturing unit; and an overlapping detection unit 12 that detects overlapping between an object in the image and the monitoring line. If overlapping is detected by the overlapping detection unit 12, the monitoring line setting unit 11 sets a new monitoring line according to the object.

Abstract: Disclosed herein are methods, systems, and processes for centralized containerized deployment of network traffic sensors to network sensor hosts for deep packet inspection (DPI) that supports various other cybersecurity operations. A network sensor package containing a pre-configured network sensor container is received by a network sensor host from a network sensor deployment server. Installation of the network sensor package on the network sensor host causes execution of the network sensor container that further causes deployment of an on-premise network sensor along with a network sensor management system, a DPI system, and an intrusion detection/prevention (IDS/IPS) system. The configurable on-premise network sensor is deployed on multiple operating system distributions of the network sensor host and generates actionable network metadata using DPI techniques for optimized log search and management and improved intrusion detection and response (IDR) operations.

Abstract: A system for holding a camera for acquiring images of preparations includes a rail that can be mounted above a preparation surface. A camera carrier couples a camera with the rail such that the camera is movable relative to the rail and such that the camera can acquire images of preparations on the preparation surface.

Abstract: A system includes at least one media data collection device and a front-end intelligent analysis device. The at least one media data collection device and the front-end intelligent analysis device are located at a front end of a monitoring system, and can meet a relatively high real-time requirement. The at least one media data collection device may collect media data, and send the media data to the front-end intelligent analysis device.

Abstract: A 3D modeling service of a provider network may receive, from a client facility, different video streams from different cameras at the facility (e.g., security cameras). The 3D modeling service may generate a collection of image data based on the different video streams. The 3D modeling service may construct a 3D model of the facility based at least on the collection of image data and other data from one or more other sources (e.g., CAD files other floor plans). The 3D model may be analyzed to determine various aspects, such as a location to place equipment or coverage gaps of the security cameras. Facility management may perform various actions based on updated 3D models. For example, equipment may be installed at a location or cameras may be installed to eliminate coverage gaps.

Abstract: A medical image processing device includes a first position acquirer, a first converter, a first likelihood image generator, and a learner. The first position acquirer is configured to acquire, as first positions, target positions in plural first images. The first converter is configured to convert the first positions to second positions by expanding movement in a second direction intersecting a first direction based on movement over time of the first positions. The first likelihood image generator is configured to generate a first likelihood image showing a distribution of likelihood of the second positions. The learner is configured to output a model using the plural first images and the first likelihood image as training data, and upon receiving part or all of a transparent image, derives a second likelihood image showing a distribution of likelihood indicating probability of the part or all of the transparent image corresponding to the second positions.

Abstract: Systems, devices, media, and methods are presented for object detection and inserting graphical elements into an image stream in response to detecting the object. The systems and methods detect an object of interest in received frames of a video stream. The systems and methods identify a bounding box for the object of interest and estimate a three-dimensional position of the object of interest based on a scale of the object of interest. The systems and methods generate one or more graphical elements having a size based on the scale of the object of interest and a position based on the three-dimensional position estimated for the object of interest. The one or more graphical elements are generated within the video stream to form a modified video stream. The systems and methods cause presentation of the modified video stream including the object of interest and the one or more graphical elements.

Abstract: A data processing apparatus (1) of the present invention includes a unit that retrieves a predetermined subject from moving image data. The data processing apparatus includes a person extraction unit (10) that analyzes moving image data to be analyzed and extracts a person whose appearance frequency in the moving image data to be analyzed satisfies a predetermined condition among persons detected in the moving image data to be analyzed, and an output unit (20) that outputs information regarding the extracted person.

Abstract: A tile contains aggregated data at a certain resolution for the actual data present in the duration of time covered in that tile. Tiles are generated at every possible resolution suitable for a computer display and provide aggregate measures such as averages and variances. Tiles provide a summary of data such that from the highest level view down to the specific data time points collected, a user's attention may be drawn to the times when there is the most interesting pattern behavior to review and analyze.

Abstract: Aspects of the invention are directed towards a system and a method for determining a false alarm based on analysis of video/s. One or more embodiments of the invention describe the method comprising steps of receiving one or more pre-recorded videos, the one or more pre-recorded videos indicating a false alarm activation. One or more embodiments of the invention further describe steps of analyzing false alarm activation in the one or more pre-recorded videos and receiving a real-time video captured from a camera. Accordingly, the false alarm is determined in the real-time video based on the analysis of the false alarm activation in the one or more pre-recorded videos.

Abstract: The present invention relates to a device and a method for detecting whether a bedridden person is getting out of bed or has fallen out of their bed. The device performs an analysis over time of the distances between the sensors of a detector and the objects that are present in the detection field of the detector. The detection is based on variations in said distances and of the locations thereof within the monitored space.

Abstract: A control method for a notification system including a notification device located in a facility, the control method including: detecting a visitor to the facility based on detection information from a first sensor; obtaining a current relationship between a first user and a second user present in the facility; and when a visitor to the first user is detected in the facility, notifying the second user of a visit by the visitor by using the notification device based on the current relationship.