Abstract: An electronic control unit (ECU), or node, is configured to use a single key for all virtual ECUs (V-ECUs) having a message to transmit. The ECU also may include a security peripheral that includes the stored shared key. The security peripheral may further include a policy enabling it to detect if a request from the V-ECU is valid, in which case it generates a MAC. The security peripheral is also used to store information in a MAC Generate Allow List (MGAL), which may define the policy about when the V-ECU can transmit. The ECU may include a crypto-engine, which stores shared keys from other nodes used to verify MACs transmitted by other nodes.

Abstract: An information processing device that determines a monitoring target range of a predetermined place includes an acquisition unit configured to acquire information on a line drawn by a user with respect to image data in which the predetermined place is imaged, and a determination unit configured to determine a range indicated by an area on the line as the monitoring target range, a thickness of the line being increased.

Abstract: A process for providing requests to a management application in a multi-tenant environment is described herein. In embodiments, a broker client is deployed within a tenant execution environment executed by a server computer system. In embodiments, the broker client is configured to communicate with a broker responsible for managing the tenant execution environment based on configuration information. Furthermore, in various embodiments, request to perform operations associated with the tenant execution environment are transmitted to the broker client over a connection and the broker client provides the request to the broker for execution.

Abstract: A device for detecting the movement of object in images includes a weight determination circuit, an image blending circuit, and an object movement detection circuit. The weight determination circuit determines multiple weights according to an input image and a background image, each weight corresponding to a pixel position. The image blending circuit blends the input image and the background image based on the weights to generate an updated background image. The object movement detection circuit performs a sum of absolute difference (SAD) calculation, block by block, with the input image and the background image or the updated background image to generate a moving object indication data. The object movement detection circuit generates an object movement signal according to the moving object indication data and at least one threshold. Each block contains multiple pixels.

Abstract: A controller obtains plural images generated by an imaging device disposed onboard a vehicle, and analyzes at least first and second images of the plural images to identify a feature of interest that is offboard the vehicle and at least partially depicted in the first and second images. The controller determines a first unit vector for the feature of interest based on a first location of the feature of interest in the first image, and determines a second unit vector for the feature of interest based on a second location of the feature of interest in the second image. The controller calculates a third location of the feature of interest, relative to a physical environment, based on the first unit vector, the second unit vector, and at least one of a first reference location of the vehicle or a second reference location of the vehicle.

Abstract: An electronic device includes memory circuitry, and processor circuitry having an action detection circuitry configured to operate according to an action detection model for detecting an action based on a machine-learning scheme. The processor circuitry being configured to obtain sensor data; generate, based on the sensor data, a set of features associated with a frame; determine, based on the set, using the action detection model, whether the frame corresponds to a sub-action; apply a nondeterministic finite automaton, NFA, scheme, to the determined sub-action for the frame, wherein the NFA scheme has a set of states associated with corresponding sub-actions and is configured to output one or more action classes; determine, using the NFA scheme, an action class; detect the action based on the action class; and increment an action counter based on the detected action.

Abstract: A tracking system and an image obtaining means include: a processor; a memory module communicatively coupled to the processor; a pan-tilt camera including angle sensors communicatively coupled to the processor for tracking a predetermined object and sensing the coordinates of the pan-tilt camera; and machine readable instructions stored in the memory module that cause the image obtaining means to determine whether the predetermined object becomes lost within the image periphery of the image data; and if the predetermined object becomes lost, record the coordinates of the camera in the memory module where the predetermined has been tracked for the last time.

Abstract: A monitoring device includes: an instruction unit configured to instruct a vehicle to acquire appearance data of a monitoring object designated by a user; a detection unit configured to receive the appearance data from the vehicle and to detect whether a state of the monitoring object has changed based on the appearance data; and a monitoring result notifying unit configured to notify the user of a monitoring result of the monitoring object when the detection unit detects that the state of the monitoring object has changed.

Abstract: It is provided a sensor device comprising: a proximity sensor (10); a processor (11); a wireless communication module (13); and a memory (14). When the sensor device is in a first functional state (20, 20a, 20b) and the proximity sensor detects a predetermined change in its proximity, the sensor device is configured to transition from the first functional state, in which wireless communication is inactivated, to a second functional state (21), in which wireless communication module is enabled. The predetermined change in its proximity is a removal of transport protection, comprising removal of a metallic tape over the proximity sensor, whereby the proximity sensor is capable to detect the removal of the metallic tape based on inductive sensing.

Abstract: An event at a shelf, such as a user interacting with items on the shelf, may be detected using sensors associated with the shelf. Hypotheses to describe the event are generated based on the collected sensor data. However, hypotheses determined based on only one type of sensor data may not have a confidence value that is sufficiently reliable. Hypotheses derived from different sensor types may be combined to generate new hypotheses that have higher confidence values. For example, hypotheses based on image data may be combined with hypotheses based on weight data to produce hypotheses with higher confidence values that are sufficiently reliable. A hypothesis, from the set of combined hypotheses, having the highest confidence value may then be used to describe the interaction at the shelf, such as identifying the item and quantity of item the user interacted with during the event.

Abstract: The present invention is a security camera that is fully equipped with an inbuilt smoke and motion detectors and with a special remote control to program the security camera. Furthermore, the security camera is specially designed to be set by a user to automatically capture and send a still picture or motion picture with audio or video message to a mobile phone when the smoke detector or motion detector is activated.

Abstract: Systems and methods are disclosed for dynamic image capture and processing. In one implementation, a processing device receives a first video stream, the first video stream being captured via an optical sensor configured with a first set of capture parameters. The processing device processes the first video stream with a first set of processing parameters. The processing device receives a second video stream, the second video stream being captured via the optical sensor configured with a second set of capture parameters. The processing device processes the second video stream with a second set of processing parameters. The processing device provides an output based on at least one of (a) the first video stream, as processed, or (b) the second video stream, as processed.

Abstract: This disclosure provides methods, devices, and systems for controlling motion-activated cameras. The present implementations more specifically relate to reducing false triggers in motion-activated camera systems. In some implementations, a motion-activated camera system may include a camera, a first motion sensor having a wide field-of-view (FOV), and a second motion sensor having a narrow FOV. In some aspects, the motion-activated camera system may be configured to operate in a wide-FOV mode or a narrow-FOV mode. In some implementations, the first motion sensor may trigger the camera to capture images of a scene responsive to motion detected in the wide FOV when the system is configured to operate in the wide-FOV mode. In some other implementations, the second motion sensor may trigger the camera to capture images of the scene responsive to motion detected in the narrow FOV when the system is configured to operate in the narrow-FOV mode.

Abstract: A method for picture processing is described. A first tracking area is obtained. A second tracking area is also obtained. The method includes beginning to track the first tracking area and the second tracking area. Picture processing is performed once a portion of the first tracking area overlapping the second tracking area passes a threshold.

Abstract: Described herein are systems, apparatus, methods and computer program products configured for image detection/recognition of products. The disclosed systems and techniques utilize video data to provide the necessary number of images and view angles needed to train a machine learning product detection/recognition system to recognize a specific product within later provided images. In various embodiments, a user may provide video data and the video data may be transformed in a manner that may aid in training of the machine learning system.

Abstract: An audio-video communication system comprises a wireless exterior module located proximate an entrance, a computerized controller running a software application, and a remote peripheral device. The wireless exterior module includes a proximity sensor for detecting a person at the entrance, a video camera for recording an image of the person at the entrance, a microphone for recording the person at the entrance, a speaker for playing audio to the person at the entrance, a transmitter for communicating sounds and images of the person at the entrance, and a receiver for receiving communications at the wireless exterior module. The computerized controller is disposed in wireless electronic communication with the wireless exterior module via the transmitter and the receiver of the wireless exterior module. The remote peripheral device is configured to electronically communicate with the computerized controller for viewing an image from the video camera communicated from the wireless exterior module.

Abstract: Methods, apparatuses, and non-transitory machine-readable media for image location based on a perceived interest and display position. Apparatuses can include a display, a memory device, and a controller. an example controller can assign a perceived interest and sort images based in part on the perceived interest. In another example, a method can include assigning, by a controller coupled to a memory device, a perceived interest to an image of a plurality of images, wherein the perceived interest is assigned based in part on a change in position of a display coupled to the memory device while the image is viewable on the display, selecting the image from an initial viewing location on the display responsive to the assigned perceived interest, and transferring the image to a different viewing location, wherein the initial viewing location and the different viewing location are visible on the display.

Abstract: A battery-powered camera includes a system processor configured to operate in a standby mode or a full-power mode. While operating the system processor in the standby mode, the camera detects an event in a field of view of the camera; records, using an image sensor of the camera, a plurality of image frames corresponding to the field of view in which the event was detected; stores in a frame buffer the plurality of image frames; and wakes the system processor from the standby mode. While operating the system processor in the full-power mode, the camera processes the plurality of image frames stored in the frame buffer using the system processor; and provides the processed image frames for streaming.

Abstract: Disclosed herein is a security system for locating and tracking an intruder. The present security system comprises a plurality of security master devices, and a control device linked to the plurality of security master devices. According to embodiments of the present disclosure, each security master device comprise a microphone, a tracking unit, optionally a deterrent unit, optionally an image capturing unit. The control device comprises a processor, and optionally a memory. Also disclosed herein is a method for locating and tracking an intruder.

Abstract: Techniques for initiating system actions based on conversational content are disclosed. A system identifies a first conversational moment type. The first conversational moment type is defined by a first set of one or more conversational conditions. The system receives a user-selected action to be performed by the system in response to detecting conversational moments of the first conversational moment type. The system stores the user-selected action in association with the first conversational moment type. The system performs the user-selected action in response to detecting the conversational moments of the first conversational moment type.

Abstract: An audio/video (A/V) device may include or accommodate a viewer through a barrier. For example, an A/V device may include a first component for installation on an exterior surface of a door, a second component for installation on an interior surface of the door, a viewer that extends through an opening in the door, and a flexible connector that electrically couples the first component and the second component. In some instances, the first component may include an opening for the viewer, a camera, and an input device in substantial vertical alignment. The A/V device may further include a shutter that moves between a first position, in which the shutter is proximate to the viewer, and a second position, in which the shutter is not proximate the viewer. Additionally, the A/V device may include rings interposed between each of the first and second components and the door.

Abstract: In order to detect an object by discriminating the object in accordance with the state of the object, a detection device comprises: an identifying unit configured to identify whether a human included in a plurality of frame images of a moving image is a pedestrian; a determining unit configured to determine, for notifying, that the human is the pedestrian if the identifying unit identifies that the number of times the human is the pedestrian satisfies a predetermined condition; and a notifying unit configured to notify intrusion if the human determined as the pedestrian by the determining unit intrudes into an area preset for the moving image.

Abstract: In some implementations, a method includes obtaining an end state of a first content item spanning a first time duration. In some implementations, the end state of the first content item indicates a first state of a synthesized reality (SR) agent at the end of the first time duration. In some implementations, the method includes obtaining an initial state of a second content item spanning a second time duration subsequent the first time duration. In some implementations, the initial state of the second content item indicates a second state of the SR agent at the beginning of the second time duration. In some implementations, the method includes synthesizing an intermediary emergent content item spanning over an intermediary time duration that is between the end of the first time duration and the beginning of the second time duration.

Abstract: Computer-implemented event detection includes obtaining, at one or more processors, multimedia data including multiple frames of video data and corresponding audio data. The processor(s) process the multiple frames to detect at least one object and to track the object(s) between two or more of the frames. The processor(s) generate sonification audio data representing a position of the object(s) in the two or more frames, movement of the object(s), or both the position and the movement of object(s). The processor(s) generate combined audio data including the audio data and the sonification audio data. The processor(s) generate one or more feature vectors representing the combined audio data and provide the feature vector(s) as input to a trained event classifier to detect an event represented in the multimedia data.

Abstract: This application is directed to a home monitoring and control system including a doorbell installed at a door of a home. The doorbell has a button configured to, upon being touched, depressed or activated, wirelessly initiate a first communication to indicate presence of a person at the door. The doorbell also has a camera configured to capture video data within a field of view, and a processor configured to cause a communication component to enable the first communication and wirelessly stream via a remote server the video data captured by the camera to a monitoring device associated with an occupant of the home. A rechargeable battery is coupled to a housing wire and configured to be charged via the housing wire, and the doorbell is configured to charge and discharge the rechargeable battery based on power usage of the doorbell.

Abstract: A method for sharing surveillance video and receiving payment therefor utilizing a video sharing operator/manager is provided including providing access to video segments created by video surveillance camera systems tagged with capture information, providing a connection from each of the camera systems to the video sharing operator/manager and registering sellers of video. The method continues with receiving uploaded capture information on a searchable database from the camera systems and registering buyers. The method continues with receiving a search request from a buyer based on a specific set of capture information and receiving an uploaded requested video segment in response to the search request. The seller receives payment for the video segment from the buyer and, the video segment is downloaded to the buyer.

Abstract: Techniques are described for security and automation system. One method includes receiving, from an exterior camera located outside a structure, data associated with an occurrence of a security event associated with the structure, activating a light of the camera based at least in part on determining the received data is associated with the security event, and initiating an action at the first location based at least in part on determining that the received data is associated with the security event.

Abstract: A self-data-generating storage system and method for use therewith are provided. In one embodiment, a controller of the storage system is configured to receive a single video frame of video footage from a host; generate a plurality of video frames from an interpolation of the single video frame; and store the single video frame and the generated plurality of video frames in the memory. Other embodiments are provided.

Abstract: This disclosure describes, in part, techniques for selecting encoding parameters for an electronic device. For instance, remote system(s) may receive, from the electronic device, video data representing a video. The remote system(s) may then analyze the video data to identify portions of the video that represented different areas located within the field of view (FOV) of the electronic device. The areas may include static areas, which do not include recurring motion, and/or dynamic areas, which include recurring motion. Additionally, the remote system(s) may analyze the video data to select encoding parameters for encoding the video data and/or for encoding the portions of the video data that represent the identified areas. The electronic device may then receive the encoding parameters from the remote system(s) and use the encoding parameters to encode additional video data that is generated by the electronic device.

Abstract: This document describes a thermal-control system that is integrated into a video-recording doorbell. The thermal-control system includes a combination of heat spreaders and materials with high thermal conductivity. The thermal-control system may spread and dissipate energy from a thermal-loading condition effectuated upon the video-recording doorbell to concurrently maintain temperatures of multiple thermal zones on or within the video-recording doorbell at or below prescribed temperature thresholds.

Abstract: Provided is an image processing device, image display device, and program that allow an image captured by an imaging device not having a vibration suppression function or an image whose vibration has been suppressed incompletely to be displayed on a display device with the vibration suppressed. The image processing device includes a motion estimator configured to estimate the amount of motion of an object between a first image and a second image later than the first image and a motion compensator configured to perform a conversion process on the second image so that vibration of the object between the first image and the second image is suppressed, on the basis of the amount of motion of the object. The motion estimator has a first estimation mode in which the amount of motion of the object is estimated in a predetermined search area and a second estimation mode in which the amount of motion of the object is estimated in a larger area than the search area in the first estimation mode.

Abstract: An apparatus and a method for detecting, classifying and tracking road users on frames of video data are provided. An object detection unit identifies an object in a frame of the video data. A pre-filtering unit determines whether the identifier associated to an object corresponds to another identifier associated to the same object in the same frame of the video data when the identifiers overlap. A tracking unit matches the identified object to a corresponding object in another frame of the video data, such that a path of the sequence of matched objects is tracked throughout the frames of the video data. A scenario unit determines a safety indicator that is a function of the risk indicators indicating interactions between road users.

Abstract: A surveillance system may comprise one or more computing devices and one or more robotic surveillance devices. The one or more computing devices may be configured to obtain video data captured by one or more cameras. The one or more computing devices may analyze the video data to determine whether there is any trigger event. In response to determining that there is a trigger event, the one or more computing device may determine an optimal robotic surveillance device among the one or more robotic surveillance devices based on the trigger event and provide an instruction to the optimal robotic surveillance device. The optimal robotic surveillance device may be configured to perform a responding action in response to receiving the instruction.

Abstract: This application is directed to a doorbell camera for illuminating and capturing scenes. The doorbell camera includes at least a subset of processors for operating a camera module, an image sensor having a field of view of a scene and configured to capture video of a portion of the scene, one or more infrared (IR) illuminators for providing illumination, a waterproof button assembly, and a microphone and a speaker for enabling a real-time conversation between a visitor located at the doorbell camera and a user of a remote client device. The waterproof button assembly is configured to receive a user press on a button top, block water from entering the electronic device, and display a visual pattern uniformly at a peripheral region of the button assembly using LEDs and light guide component that are disposed under the button top.

Abstract: A method of vehicle detection is provided. The method comprises receiving an image from a traffic camera, wherein the image contains vehicle traffic flow. A number of regions in the image that exceed a predetermined number of candelas are identified and masked. Contrast edges are added around the masked regions in the image. One or more vehicles are detected in the image based on the contrast edges.

Abstract: According to examples, a printer may include a processor and a memory on which is stored machine readable instructions that may cause the processor to access an instruction to print a print job of a user and determine whether the user is moving toward the printer. In response to a determination that the user is moving toward the printer, the instructions may cause the processor to initiate printing of the print job.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for data segmentation using machine learning. A data segmentation system prioritizes parameters used for segmenting data into predetermined categories. For example, the data segmentation system uses linear regression to determine signal strength values for the individual parameters. The signal strength values can be used to automatically select a set of parameters for segmenting data, determine weights for the parameters and/or determine threshold segmentation values.

Abstract: A system for applying video data to a neural network (NN) for online multi-class multi-object tracking includes a computer programed to perform an image classification method including the operations of receiving a video sequence; detecting candidate objects in each of a previous and a current video frame; transforming the previous and current video frames into a temporal difference input image; applying the temporal difference input image to a pre-trained neural network (NN) (or deep convolutional network) comprising an ordered sequence of layers; and based on a classification value received by the neural network, associating a pair of detected candidate objects in the previous and current frames as belonging to one of matching objects and different objects.

Abstract: Devices, systems, and methods of wirelessly controlling appliances and electronic devices, such as ceiling fans, air conditioners, garage doors, or the like. A receive-only garage door system is wirelessly controlled by a proprietary remote control unit. A cloning unit is able to clone or duplicate the proprietary wireless signal, and to replay it or re-generate it in response to a triggering command that a user submitted via a smartphone or tablet; thereby enabling to control such garage door system via mobile electronic devices. The cloning unit utilizes recording of the wireless signal payload and carrier frequency; wireless signal analysis; image analysis of the appliance or of the remote control unit; queries to a remote server to obtain properties of the proprietary wireless signal; or other techniques of signal analysis or duplication.

Abstract: An autonomous wireless intrusion detector device comprises a movement sensor and a digital camera. In response to detecting a potential movement within a monitored area, the digital camera is triggered to create and store a set of consecutive full-size digital images of the monitored area, and a set of reduced-size thumbnail images corresponding to the set of full-size digital images, and a set of reduced-size thumbnail images corresponding to the set of full-size digital images, for the new alarm event. The detector device sends notification of the new alarm event and reduced-size image-related event information to an intrusion detection network entity, and sends the set of full-size images only if requested by the network entity.

Abstract: A system provides a transformed video stream from, a publicly or privately owned and operated camera bearing on an in-scope location vicinity, to, a responding emergency service agency (ESA). A request from an emergency services agent's display terminal includes location indicia and elicits a map of cameras bearing on the location vicinity as well as other display terminals in the area. Upon request, an application programming interface enables a video stream to comply with the privacy and access settings of the camera owner/operators. A plurality of private and public security surveillance cameras is coupled to a server. Exterior/street view video images are streamed to the server which may contact an owner for emergency access. An emergency agency vehicle at a location has a display for a selected gallery of obfuscated exterior/street views from cooperative networks of public and private security cameras bearing on the vicinity of an incident.

Abstract: A camera includes an optical camera housing, and a platform disposed at least partially within the optical camera housing. The platform is configured to be pan-rotated about a first axis relative to the optical camera housing. The platform includes a first component configured to be coupled to a camera lens, and a second component having a mount configured to be fixed to an infrared module. The camera also includes a camera lens coupled to the first component of the platform. The camera lens is configured to tilt relative to the platform about a second axis different from the first axis. The camera also includes an infrared module fixed to the mount.

Abstract: A method includes generating, by a camera of a monitoring system that is configured to monitor a property, first image data at a first time, analyzing the first image data, determining that the first image data includes a first object that likely corresponds to a person, generating, second image data at a second, later time, analyzing the second image data, determining that the second image includes a second object that likely corresponds to a person, comparing the first object that likely corresponds to a person to the second object that likely corresponds to a person, based on comparing the first object that likely corresponds to a person to the second object that likely corresponds to a person and based on a difference between the first time and the second, later time, determining that a person is likely moving towards the camera, and performing a monitoring system action.

Abstract: Systems and methods for frame and scene segmentation are disclosed herein. A disclosed method includes providing a frame of a scene. The scene includes a scene background. The method also includes providing a model of the scene background. The method also includes determining a frame background using the model and subtracting the frame background from the frame to obtain an approximate segmentation. The method also includes training a segmentation network using the approximate segmentation.

Abstract: Systems and methods for monitoring an environment using a Graphical Management System (GMS) are described. The GMS may present a vector image map of the environment for interaction by a user. The user may zoom and pan on the map to generate views of the map with various ranges of detail of the map. Video data from a plurality of video cameras may also be displayed on the map based on the user input and the level of zoom and the location viewed in the map. Further, the user may select a timeline event and sensor data associated with the event and the map may be initialized at the time and location of the event.

Abstract: An apparatus comprises a camera and one or more sensors. The camera generally has a low power deactivated mode. The one or more sensors are generally remotely located with respect to the camera. The one or more sensors may be configured to communicate a signal to the camera in response to a trigger condition. The camera is generally configured to activate in response to receiving the signal from the one or more sensors.

Abstract: A method for creating a video that is generated based on the occurrence of pertinent events within a period of time. This video may be a summary video that includes video segments from multiple sources. The video may be augmented to display data describing pertinent events that occur.

Abstract: A method and an electronic apparatus for comparing tracking object are provided. The method applies an edge detection to a template image and a candidate image to generate a template edge image and a candidate edge image respectively. A vertical template edge image and a horizontal edge template image caused by summing (or averaging) the pixel values of the template image horizontally and vertically are used to compare with the summing (or averaging) pixel values of the horizontal/vertical candidate edge images. A measurement in the comparison is based on the positions of partial horizontal candidate edge image and the partial vertical candidate edge image. The method determines that a region of the candidate image has the tracking object according to the vertical coordinate information and the horizontal coordinate information.

Abstract: An imaging apparatus and a control method thereof are provided. The method for controlling the imaging apparatus includes acquiring images having a same focal length by performing continuous imaging in a predetermined time when a user's imaging command is input, calculating motion vectors using the images and separating a foreground and a background of a first image among the images based on the calculated motion vectors and color information of the first image, and performing out focusing based on the separated foreground and the separated background.

Abstract: An audio/video (A/V) recording and communication device includes a camera, a passive infrared (PIR) sensor, and a light sensor. A method receives a PIR sensor output signal from the PIR sensor, receives image data from the camera, and receives a light sensor output signal from the light sensor. The method determines, using the light sensor output signal and at least one of the PIR sensor output signal and the image data whether to activate recording of the image data, and upon determining to activate recording of the image data, generates an alert. The method transmits the alert to a client device associated with the A/V recording and communication device.