Abstract: A method is described. The method can include establishing a block chain network of multiple imaging devices. The block chain network can be established such that, at least a first imaging device of the multiple imaging devices can be validated by at least a second imaging device of the multiple imaging devices. Further, the method can include generating a block message by the first imaging device. The block message can be generated by using a secured hash function and based on a set of parameters that can be associated with the first imaging device. The set of parameters can include, a first imaging device identifier, a network fluctuation parameter, and at least one inertial parameter. Furthermore, the method can include sending by the first imaging device the block message to the second imaging device. In this regard, the block message can facilitate validation of the first imaging device.

Abstract: Detection models are distributed as needed to a select subset of image capture devices, based on geographic location and time of the image capture devices. Each image capture device which receives a model processes image data according to the model, and provides a notification of any detected instances of an event the model is trained to detect. Distribution and detection can be based on historical data or live data.

Abstract: Use of multiple sensors to determine whether motion of an object is occurring in an area is described. In one aspect, an infrared (IR) sensor can be supplemented with a radar sensor to determine whether the determined motion of an object is not a false positive.

Abstract: An information processing system includes an image-capturing apparatus and an information processing apparatus, the image-capturing apparatus including an image-capturing section that is used to obtain a captured image of a subject, and a feature detector that detects, on the basis of the captured image, feature information that is information indicating a feature of the subject, the image-capturing apparatus or the information processing apparatus including a determination section that determines whether there exists a target subject in the captured image on the basis of detected feature information that is the feature information detected by the feature detector, and on the basis of target feature information that is the feature information to be targeted, the target subject being a subject for which the detected feature information matches or is similar to the target feature information.

Abstract: A monitor device is provided, including: a fixing seat, for fixing to a structure; a casing, with an accommodating space, upper end of the longitudinal axis of the casing rotatably connected to the fixing seat; a first optoelectronic device, disposed on the lower end of the casing; a second photoelectric device and a third photoelectric device, respectively rotatably disposed at a first position and a second position outside the casing; a transmission mechanism, disposed in the accommodating space of the casing, and the transmission mechanism including: an angle rotation mechanism, connected to the fixing seat to drive the casing to rotate in a first direction relative to the fixing seat; and a second angle rotation mechanism connected to and driving the first, the second and the third optoelectronic device to rotate synchronously in a second direction; wherein the first direction and the second direction are orthogonal to each other.

Abstract: Systems and methods are provided for detecting the presence of a hidden camera on a network. When video is encoded and transmitted over/across a network, the data packet carrying the video tend to exhibit certain characteristics or features specific to video traffic from a hidden camera. A machine learning model for detecting the presence of a hidden camera can be trained based on these characteristics and features. Once trained, the machine learning model can be operationalized on an access point that can analyze real-time network traffic to determine whether a hidden camera(s) is operating on the network.

Abstract: Systems, methods, and software described herein manage the storage of video data in multiple storage locations. In one example, a system obtains video data from a video source and stores the video data in a first format in a first storage location. Additionally, the system stores the video data in a second format in a second storage location, wherein the second format comprises one or more lesser video quality characteristics than the first format. The system further identifies metadata associated with the video data and stores the metadata in the second storage location.

Abstract: A method and system for privacy-aware movement tracking includes receiving a series of images of a field of view, such as captured by a camera. The images containing movement of an unidentified person within the field of view. A body region corresponding to the person is detected within the images. A movement dataset for the unidentified person is generated based on tracking movement of the body region over the fired of view within the images is generated. A characterizing feature set is determined for the unidentified person. The set is associated within the movement dataset to form a first track entry. Anonymizing of the body region can be applied to remove identifying features while or prior to determining the characterizing feature set. A second track entry can be generated from a second series of images and match between the track entries can be determined. A method and system for privacy-aware operation and learning of a computer-implemented classification module is also contemplated.

Abstract: There is provided an image acquisition controller for acquiring an adapted image. The image acquisition controller comprises an interface towards a first image sensor, the first image sensor being arranged to acquire an image, and an interface towards a gaze tracking unit, the gaze tracking unit comprising a second image sensor for registering a gaze position on a scene associated with the image acquired by the first image sensor. The image acquisition controller is arranged to periodically receive information over the interface towards the gaze tracking unit about at least a position on the scene associated with the image provided from the first image sensor where the scene represents a larger part of an image registered by the first image sensor than intended to be acquired as the adapted image.

Abstract: A domestic appliance, which may be a cooling device, such as a refrigerator, includes: a treatment chamber that can be closed by a pivotable door; at least one camera arranged in the door for recording images from the treatment chamber when the door is open; and a door movement sensor for detecting values of at least one parameter of a door movement. The door movement sensor has at least one inertial sensor. At least one camera and the at least one inertial sensor are integrated in a camera/sensor module which is arranged in the door. The camera/sensor module has a communication device, at least for outputting image data from the camera of the camera/sensor module. The domestic appliance is configured to trigger at least one device function upon the detection of at least one trigger value.

Abstract: A method including: requesting a web resource from a plurality of devices for setting a web UI for the plurality of devices; receiving the web resource from the plurality of devices; requesting device attribute information related to a device attribute from the plurality of devices; receiving the device attribute information from the plurality of devices; checking whether a web resource corresponding to the received device attribute information is stored in a memory of the server; configuring a common setting web UI for a common device attribute and configuring an individual setting web UI for an individual device attribute based on the web resource; and mashing up the common setting web UI and the individual setting web UI and rendering the mashed common setting web UI and individual setting web UI to a single web page of the server.

Abstract: A method, computer program product, and computing system for determining whether a storage awareness service provider node of a storage system has failed. In response to determining that the storage awareness service provider node has failed, an intermediate storage awareness service may be deployed within the storage system. At least one request may be processed on the storage system via the intermediate storage awareness service.

Abstract: To accurately identify a region corresponding to a position where an object is preset in an image, an object region identification device acquires a first frame image and a second frame image that are temporally successive. The device inputs the first frame image to a model that identifies an object in an image and acquires position information, the position affecting identification of an object in the first frame image. The device acquires motion information indicating a motion of the object in the first frame image based on the first frame image and the second frame image. The device generates, based on the acquired position information and motion information, region information indicating a region in the first frame image, the region corresponding to a position where the object is present.

Abstract: A computer-implemented method includes assigning each access device of a plurality of access devices to at least one respective space of a plurality of spaces, including assigning a first access device to a first space of the plurality of spaces, based on the first access device controlling access to the first space. One or more access devices, from among the plurality of access devices, that are assigned to the first space are grouped together into a first group of devices. A boundary of the first space is generated based at least in part on access data generated by the first group of devices, where the access data describes access to the first space by way of the one or more access devices in the first group of devices.

Abstract: An electronic device comprises an image sensor, one or more processors, and memory storing instructions for receiving an event recording profile based on configuration data of the electronic device, the configuration data including a location type or a power type; receiving a plurality of images of a scene captured by the image sensor; detecting a trigger event based on one or more of the plurality of images of the scene; in response to detecting the trigger event, identifying an object of interest in one or more of the plurality of images of the scene; creating an event clip from the stored images that include the object of interest, wherein creating the event clip includes configuring a clip length based on the event recording profile; and providing the event clip for display.

Abstract: Embodiments of this application belong to the field of audio processing technologies and provide an audio processing method and an electronic device. The method is applicable to an electronic device including a camera. The electronic device records a plurality of channels of audio and video pictures corresponding to the audio in a video recording mode, and plays, during video playback, some video pictures and audio obtained after the plurality of channels of audio are combined. When a speaker in a video picture starts to speak, played audio is switched to audio corresponding to the video picture in which the speaker is located; thereby resolving a feeling of a sudden change of sound caused by switching required for obtaining audio content when the electronic device that does not support playback of a plurality of channels of audio plays a video.

Abstract: A video signal receiver includes a clock signal receiver, a frame signal generator, and a frame signal transmitter. The clock signal receiver receives a camera video signal clock sent from a video signal transmitter in a camera module and outputs the clock to the frame signal generator. The frame signal generator generates a frame signal based on the clock received by the clock signal receiver and outputs the frame signal to the frame signal transmitter. The frame signal transmitter receives input of the frame signal output from the frame signal generator and sends the frame signal to the video signal transmitter of each camera module.

Abstract: A device, method and system for installing video analytics parameters at a video analytics engine is provided. An example device determines that a classification of a first camera is one or more of similar to, and same as, a respective classification of at least one second camera. The example device retrieves, from a memory, video analytics parameters associated with the at least one second camera, the video analytics parameters stored at the memory in association with the respective classification. The example device causes installing of the video analytics parameters at a video analytics engine associated with the first camera.

Abstract: A circuit includes a first communication interface configured to receive first sensor data from a stationary sensor. The first sensor data include a result of a first sensing of a local environment of the stationary sensor performed by the stationary sensor. The circuit may further include a second communication interface configured to receive second sensor data from an unmanned aerial vehicle. The second sensor data include a result of a second sensing of at least a portion of the local environment of the stationary sensor performed by a sensor of the unmanned aerial vehicle. The circuit may further include one or a plurality of processors configured to compare the first sensor data and the second sensor data and to classify the at least one stationary sensor based on a result of the comparison.

Abstract: A live media streaming architecture facilitates live interaction among multiple participants, such as viewers and stage performers for a show. A cluster of computers is responsible for generating, transmitting, and displaying a composed live stream, such as a grid, of one group of individuals, by mixing live streams from those individuals, that will allow them to interact with a stage performer or other contributors or other individuals during an event. The architecture can support receiving the live streams at a physical location of an event or other locations for centralized redistribution.

Abstract: Disclosed is a multi-modal convolutional neural network (CNN) for fusing image information from a frame based camera, such as, a near infra-red (NIR) camera and an event camera for analysing facial characteristics in order to produce classifications such as head pose or eye gaze. The neural network processes image frames acquired from each camera through a plurality of convolutional layers to provide a respective set of one or more intermediate images. The network fuses at least one corresponding pair of intermediate images generated from each of image frames through an array of fusing cells. Each fusing cell is connected to at least a respective element of each intermediate image and is trained to weight each element from each intermediate image to provide the fused output. The neural network further comprises at least one task network configured to generate one or more task outputs for the region of interest.

Abstract: Systems and methods provide for an automated system for analyzing damage and processing claims associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using cameras and lasers for determining the extent and severity of the damage. To aid in this determination, the server may also interface with various internal and external databases storing reference images of undamaged items and cost estimate information for repairing previously analyzed damages of similar items. Further still, the server may generate a payment for compensating a claimant for repair of the insured item.

Abstract: A camera module includes a first lens module defining a first optical axis; a second lens module defining a second optical axis; and a first optical path changing unit disposed between the first lens module and the second lens module and configured to selectively reflect or refract light incident along a third optical axis intersecting the first and second optical axes to the first lens module or the second module.

Abstract: Systems and methods for redundant storage among networked video cameras are described. Video data for a group of video cameras in a backup cluster determined from a network topology is received by a peer video camera. A backup order of the backup cluster is received. The peer video camera sends its source video data for to a backup storage device located at a target peer video camera of the group of video cameras according to the backup order.

Abstract: A pipeline inspection device including a housing, an antenna, an imaging device having one or more lenses, two diaphragms extending from the housing and distal to one another along the length of the housing, the two diaphragms sharing a longitudinal axis with the housing, a processor, a storage device in communication with the processor, and a memory in communication with the processor, storing a machine learning algorithm and instructions to be executed by the processor, wherein the antenna is operable to communicate with a remote transceiver, the remote transceiver being located on a pipeline through which the pipeline inspection device travels. Also disclosed herein are systems and methods for using the same.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to monitor a community. The drone may include a processor and a storage device storing instructions that, when executed by the processor, cause the one or more processors to perform operations. The operations may include receiving an instruction to deploy based on a determination, by a community monitoring system that an event was detected at a property of the community, navigating towards the property along an initial navigation path, obtaining local monitoring system data from a local monitoring system of a property of the community, generating based on the local monitoring system data a navigational model that identifies a location of each of one or more surveillance objectives, determining an adjusted navigation path to a location of a surveillance objective of the one or more surveillance objectives, and navigating along the adjusted navigation path.

Abstract: Described herein are systems and methods for locating an object detected in a video. The system detects a bounding box at least partially around an object in a first frame at a first time in the video and a second frame in the video corresponding to a second time. The system determines whether there is no motion within the bounding box of the second frame. The system compares edge information, or color information, or intensity information associated with one or more pixels in the first frame, to edge information, or color information, or intensity information associated with one or more pixels within the bounding box. The system generates a score based on the comparison. The system further determines based on the score if the object is present in the second frame. The system also determines an estimated timeframe window of a first appearance of the object.

Abstract: The present disclosure provides an image capturing, device that captures images of a first sensor that includes a first imaging modality, a second sensor that includes a first imaging modality and a third sensor that includes a second imaging modality. A controller connected with the first sensor, the second sensor and the third sensor, wherein the controller registers an image captured by the first sensor or the second sensor to an image captured by the third sensor.

Abstract: A monitoring device includes an image capturing module, a photosensitive element, a first processing module and a second processing module. The photosensitive element obtains a lighting parameter of a monitored environment. The first processing module is electrically connected to the photosensitive element, stores the lighting parameter, and continuously updates the lighting parameter. The second processing module is electrically connected to the image capturing module and the first processing module, and the second processing module has a sleep mode. The second processing module includes an exposure function control unit. When the second processing module is awakened and converted to a recording mode, the exposure function control unit receives the updated lighting parameter from the first processing module and calculates an exposure parameter according to the lighting parameter to control the image capturing module.

Abstract: Image capture devices for monitoring parking at various geographic locations and systems for monitoring parking are described herein.

Abstract: A method for localizing a more highly automated vehicle (HAF), in particular a highly automated vehicle, in a digital map. The method includes: ascertaining a global pose estimation for the HAF using a localization module of a vehicle system of the HAF, the global pose estimation comprising a position and orientation of the HAF; transmitting at least one landmark position and at least one associated landmark property to the vehicle system; ascertaining a relative position of the landmark position concerning the HAF at least partially on the basis of the pose estimation and the landmark position; performing at least one sensor measurement and checking that the at least one landmark property is detectable at the relative position; and outputting an error indicator as the result of the checking. A corresponding system and a computer program are also described.

Abstract: A system, device, and method for camera placement based on access tier attributes is disclosed. The method includes correlating, by an at least one electronic processor, a geographical location and existing tiered camera deployments with electronically stored indications of crime rates across a geographic area associated with a security agency. The method also includes generating, by the at least one electronic processor, at least one new proposed security camera deployment at at least a first proposed location in the geographic area associated with the security agency having a proposed tier selected from one of a plurality of tiers determined as a function of the correlating.

Abstract: An analysis apparatus detects persons from a first image generated by a first camera that captures a vehicle, detects the number of occupants in the vehicle captured in the first image, detects persons from a second image generated by a second camera that captures the vehicle, detects the number of occupants in the vehicle captured in the second image, determines whether or not the first image and the second image satisfy a predetermined condition, and decides, in a case where the first image and the second image satisfy the predetermined condition, the number of occupants in the vehicle with use of the number of occupants in the vehicle captured in the first image and the number of occupants in the vehicle captured in the second image.

Abstract: This application is directed to systems and techniques for configuring audio/video devices in a geographical area. For instance, a graphical user interface (GUI) may include a representation of the area as well as representations of devices installed in the area. Using the GUI, a user may associate devices to copy device settings and/or preferences from one device to another. For example, a newly-installed device can be provisioned and/or configured using data from another, previously-installed device.

Abstract: An image archiving facility creates an image and other data archive relating to an event at a location when prompted by a downloaded application for a host user. The host user may approve guest users to upload to the archive. Approval may come from an image of a person uploaded to the data archive and recognized from biometric data as an approved user. The host may control viewing of images in the archive either individually or generically.

Abstract: The 360 degree video recording and playback device is a security device. The 360 degree video recording and playback device is an audio-video recording device. The 360 degree video recording and playback device incorporates an image capture structure, a rendering structure, a supervisory structure, and a housing. The housing contains the image capture structure, the rendering structure, and the supervisory structure. The image capture structure, the rendering structure, and the supervisory structure are electrically interconnected. The image captures structure is a recording device that captures audible sounds and video images from the vicinity surrounding the 360 degree video recording and playback device. The field of view of the captured video images is 360 degrees. The rendering structure converts the captured audible sounds and video images into one or more video files.

Abstract: A refrigerator includes: a main body having a storeroom for storing a food item; a shelf plate arranged in a storeroom, the shelf plate on which a food item is put; a door that opens and closes a side of the storeroom; a camera arranged on an inner surface of the door, the camera takes an image of an inside of the storeroom; a camera moving device that moves the camera in a vertical direction. The camera moving device stops the camera at one or more points for each of between the shelf plates located adjacent to each other, and between an inner surface of a top edge of the storeroom and the shelf plate located adjacent to the inner surface of the top edge of the storeroom, and the camera takes an image each time when the camera moving device stops moving the camera.

Abstract: Systems and methods for provisioning remote display of video streams. For instance, the system includes video cameras, monitoring devices and provisioning server(s). Each video monitoring device includes a client device and a display.

Abstract: A remote operation device includes an image generating section that generates, when an operation determining section determines that an operation by an operator is a fine operation, and a posture determining section determines that a posture of the operator has changed from a reference posture to a watching posture, an enlarged image by enlarging a part of a work image of a construction machine, the part being related to a line-of-sight position acquired by an eye tracking device, and causes a display device to display the enlarged image.

Abstract: An unmanned aerial vehicle includes an imaging camera configured to capture the image of an object to be inspected, an object detecting unit configured to detect a relative position of the object to be inspected, a camera angle adjusting unit configured to control the angle of an image capturing direction of the imaging camera on the basis of the relative position detected by the object detecting unit, a determination unit configured to determine whether the image of the object to be inspected is moved out of a video frame of the imaging camera during an image capture operation performed by the imaging camera, and a storage unit configured to store image capture failure information including the result of determination if the determination unit determines that the image of the object is moved out of the video frame.

Abstract: Sensors in a facility generate sensor data associated with a region of the facility, which can be used to determine a 3D location of an object in the facility. Some sensors may sense overlapping regions of the facility. For example, a first sensor may generate data associated with a first region of the facility, while a second sensor may generate data associated with a second region of the facility that partially overlaps the first region. Sensors may fail at times as determined from sensor output data or status data. In response to identifying a failed sensor, an undetected region corresponding to the failed sensor is identified, as well as a substitute sensor that partially senses the undetected region. Sensor data from the substitute sensor, such as 2D data, is acquired and used to estimate a 3D location of an object in the undetected region.

Abstract: Methods, systems, and apparatus, including computer programs encoded on storage devices, for monitoring, security, and surveillance of a property. In one aspect, a system includes multiple robotic devices, multiple sensors, wherein the multiple sensors includes a first sensor, multiple charging stations, and a monitor control unit. The monitor control unit may include a network interface, one or more processors, and one or more storage devices that include instructions to cause the one or more processors to perform operations. The operations may include receiving data from the first sensor that is indicative of an alarm event, accessing information describing the capabilities of the each of the robotic devices, selecting a subset of robotic devices from the multiple robotic devices, and transmitting a command to each robotic device in the subset of robotic devices that instructs each respective robotic device to deploy to the location of the first sensor.

Abstract: A system includes sensors and a tracking subsystem. The subsystem tracks a first object and one or more other objects in a space. After determining that re-identification of the first object is needed, candidate identifiers are determined for the first object. The candidate identifiers include a subset of the identifiers of all tracked objects in the space. The subset includes possible identifiers of the first object based on a history of movements of the first object and interactions of the first object with the other objects in the space. Based on a top-view image, a first descriptor is determined for the first object. The first descriptor is associated with a characteristic of the first object. Based on results of comparing the first descriptor to a set of predetermined descriptors, an updated identifier is determined for the first object.

Abstract: Systems and processes associated with an augmented film crew.

Abstract: In a periphery monitoring apparatus, a display processing unit displays, in a display apparatus that is provided in a vehicle, a plurality of captured images that are acquired by a plurality of cameras provided in a plurality of differing positions in the vehicle and have overlapping portions in which portions of imaging areas overlap each other, such that the overlapping portions remain. A determining unit determines whether a predetermined target object to be detected is present in each of the plurality of captured images. The display processing unit includes an enlargement processing unit that enlarges at least one captured image in which the target object is determined to be present, among the plurality of captured images, and displays the captured image in the display apparatus when the determining unit determines that the target object is present in at least one of the plurality of captured images.

Abstract: Systems and methods to perform privacy-aware computer-vision-based human activity monitoring with automatic registration are disclosed. To register for tracking, consenting human subjects wear beacons that emit a beacon signal. During a predefined timing window, beacon signals are detected and compared to a predefined signal-strength threshold and compared to the signal strength of other different beacon signals detected during the same timing window. At the end of the timing window, the strongest beacon signal above the threshold is selected for registration. The tracked human activities are assessed in real-time and upon detection of activities that violated predefined rules, feedback is delivered in real-time to the tracked human subject.

Abstract: A device includes a clock generator configured to generate a root clock signal based on an input clock signal and a clock generator divider integer setting. The device also includes a first component coupled to the clock generator and configured to generate a first component clock signal based on the root clock signal and a first component divider integer setting. The device also includes a second component coupled to the clock generator and configured to generate a second component clock signal based on the root clock signal and a second component divider integer setting. The device also includes sync circuitry coupled to each of the clock generator, the first component, and the second component, wherein the sync circuitry is configured to perform synchronized adjustments to the root clock signal, the first component clock signal, and the second component clock signal.

Abstract: Apparatus for binning an input value into one of a plurality of bins which collectively represent a histogram of input values, each of the plurality of bins representing a corresponding range of input values, the apparatus comprising: an input for receiving an input value; a noise source configured to generate an error value according to a predetermined noise distribution; and a binning controller configured to mix the received input value with the error value so as to generate a modified input value and to allocate the modified input value to the bin corresponding to that modified input value.

Abstract: A security system can be configured to mount to a power outlet. The security system can include an outwardly facing portion configured to face away from the power outlet and an inwardly facing portion having a first electrical prong and a second electrical prong that protrude into the power outlet to mount the security system to the power outlet. The security system can also include a detection system comprising a camera and a motion detector.

Abstract: Monitoring and locating tracked objects using audio/video (A/V) recording and communication devices in accordance with various embodiments of the present disclosure are provided. In one embodiment, a method for monitoring an object using a smart-home hub device in network communication with A/V recording and communication devices is provided, the method comprising: associating a tag having tag data compatible for use in a low-power wide-area network (LPWAN) with at least one tracked object to be located when missing; activating the smart-home hub device to monitor the at least one tracked object on a premises by listening for the tag data transmitted by the tag; determining when the at least one tracked object has been removed from the premises using the tag data; and transmitting to a first client device, an alert upon a determination that the at least one tracked object has been removed from the premises.