Abstract: An image processing device is configured to generate a three-dimensional bird's eye view image by projecting captured images acquired from a plurality of imaging devices onto a three-dimensional projection surface, and includes: an acquiring part configured to acquire position information of a first area, on which an object is to be placed, in a three-dimensional space; a conversion part configured to convert the position information of the first area into position information in accordance with the three-dimensional projection surface; and an output part configured to output the three-dimensional bird's eye view image, on which the object is to be placed on a second area in the three-dimensional space, the second area being specified by the converted position information. By this means, when the three-dimensional bird's eye view image is generated from multiple images, it is possible to display the object naturally in the three-dimensional bird's eye view image.

Abstract: The present disclosure provides an imaging device and an imaging method capable of generating a DVS image and a gradation image at a higher speed. An imaging device includes: a pixel array unit including a plurality of DVS pixels that outputs a first luminance signal corresponding to a light amount and a plurality of gradation pixels that outputs a second luminance signal corresponding to the light amount; a detection circuit that outputs a detection signal indicating occurrence of an address event in a case where a first luminance signal of each of the plurality of DVS pixels exceeds a predetermined threshold; a first reading unit that reads the first luminance signal from the plurality of DVS pixels and converts the first luminance signal into digital data; a second reading unit that reads the second luminance signal from the plurality of gradation pixels and converts the second luminance signal into digital data; and a control circuit that controls the first reading unit and the second reading unit.

Abstract: Techniques for dynamic redaction are provided. At least one object within a video to be redacted is identified. At least one region including the at least one object is redacted. The at least one redacted region including the at least one object and being larger than the at least one object. A tracked region being separate from the at least one object is identified. When the tracked region intersects with the at least one redacted region, the at least one redacted region is modified to un-redact portions of the at least one redacted region that overlap the tracked region.

Abstract: Doorbells often include a button to enable visitors to ring a chime to summon building occupants. In some embodiments, doorbells include a camera to take pictures of visitors. In several embodiments, doorbells include covers that are light filters. These light filters can cover infrared light sources such as infrared light emitting diodes. The light filters can pass infrared light while blocking visible light. In several embodiments, a front portion of a camera assembly fits through a hole in a light filter. Light filters can help secure camera assemblies and can form a portion of a doorbell's outer housing.

Abstract: A method and system of controlling data collection and use, the method for use with at least a first sensor designed to sense at least a first parameter and an interface device, the method comprising the steps of receiving data values from the sensor, storing the received data values in a temporary private database that is inaccessible by at least a first application program, tracking time since collection for collected data values, presenting at least a first redaction option via the interface, upon selection of the first redaction option, rendering the at least a first data subset stored in the temporary database permanently inaccessible to the at least one application program and upon the tracked time since collection of stored data values reaching a threshold period, releasing the stored data values for use by the at least a first application program.

Abstract: A vehicular camera includes a lens barrel portion accommodating a lens, a welding ring disposed on an outer periphery of the lens barrel portion, a circuit board, an imaging element mounted on the circuit board, and a housing accommodating the imaging element and the circuit board. The welding ring includes a third surface, a fourth surface opposite to the third surface, and at least three protrusions. At least an end surface of the housing is fixed to a first fixing region of the fourth surface of the welding ring. On the third surface of the welding ring, each of the at least three protrusions of the welding ring is disposed closer to the lens barrel portion than a first fixing-corresponding region of the third surface corresponding to the first fixing region of the fourth surface.

Abstract: A method for switching data frames performed by a source switch device may include receiving a data frame, including source and destination MAC addresses, and modifying a part of the source MAC address with a switch ID of the source switch device, a port number from which the data frame is received, and a reference number representing the part of the source MAC address. The method may also include including the reference number and the part of the source MAC address in a table in the switch device or generating the table and including an entry with the reference number and the part of the source MAC address in the table. The method may also include forwarding or flooding the modified data frame to at least one switch device of the plurality of switch devices.

Abstract: A moving image transmission/reception system which includes a transmission terminal and a reception terminal connected to each other via a communication line, wherein the transmission terminal transmits, to the reception terminal, a moving image obtained by an imaging unit. The reception terminal designates a specific area of interest from the moving image received from the transmission terminal, and transmits information relating to the area of interest to the transmission terminal.

Abstract: A driver state determination apparatus determines the state of a driver's face based on an image captured by a driver monitoring camera provided for the steering wheel. The device comprises a driver state determination unit that determines the driver's state from the image and a position change information acquisition unit that acquires position change information of the steering wheel. The driver state determination unit estimates the position of the driver's face in the image after the position change based on the position of the driver's face in the image before the position change and the position change information. It then determines the driver's state from the estimated position of the driver's face and the image after the position change.

Abstract: An optical device, such as a camera or spot light, having first and second removably engagable components. Disengagement of the components exposes a battery compartment in the second component. The first component can include all optical components of the optical device, such as a camera or light. A magnetic mount can provide a secure and adjustable mounting for the optical device housing on a support.

Abstract: A refrigerator, according to the present embodiment, comprises: a cabinet having a storage chamber; a storage chamber camera provided in the cabinet to photograph the storage chamber; a first door for opening and closing the storage chamber; a second door spaced apart from the first door in a horizontal direction and including a main door including a door storage unit and a sub-door that opens and closes the door storage unit and is rotatable about a hinge with respect to the main door; a first camera and a second camera which are provided in the sub-door and photograph the door storage unit when the sub-door is opened; a controller to which the second camera is independently connected; and a USB hub which is connected to the controller and to which the first camera and the storage chamber camera are connected.

Abstract: A monitoring apparatus includes a processor, wherein the processor provides a plurality of images to a first area of the user interface, generates an event image and a representative image from an image in which a set event is detected from among the plurality of images, and provides an event window in which the representative image is displayed in a second area, and the event image is automatically reproduced near the image from which the event is detected in the first area.

Abstract: A camera module (10) for use in a household environment comprising plural household appliances is described. The camera module comprises: a camera (22); control circuitry (24) configured to control operation of the camera module (10) and to generate a data signal from images picked up by the camera (22); a transmitter (26) for wireless transmission of the data signal; a power supply (28) for powering the camera module (10); a housing (14) for accommodating the afore-mentioned components; and fixation means (15) provided at the housing (14) for removably mounting the camera module (10) selectively at any of the plural household appliances.

Abstract: An apparatus includes: display controlling means for displaying, on a display, a viewable-area image representing a viewable area of a captured image having been captured; and accepting means for receiving an instruction to set the viewable-area image as a detectable area in which an object can be detected.

Abstract: An artificial intelligence (AI) entry management (EM) security system includes a camera, a microphone, a motion detector, a speaker, and a software platform. Geofences are utilized to create boundaries around physical areas, such as locations for package delivery or property boundaries. The EM device and other devices connected to the software platform are configured to monitor the geofences and detect a presence of an activity, an event, an object, or a device. At least one license plate reader is utilized to read license plate characters. Voice recognition and voice identification are used to grant or deny permissions for individuals on a property.

Abstract: Disclosed herein are methods and systems for training machine learning (ML) models to classify activity of objects, comprising selecting a set of frames depicting one or more objects from one or more video sequences each comprising a plurality of consecutive frames, associating the object(s) with each pixel included in a bounding box of the object(s) identified in each frame of the set, computing a motion mask for each frame of the set indicating whether each pixel associated with the object(s) in the frame is changed or unchanged compared to a corresponding pixel in a preceding frame, augmenting an image of the object(s) in each frame of a subset of frames of the set to depict only the changed pixels associated with the object(s) by cutting out the unchanged pixels, and training one or more ML models, using the set of frames, to classify one or more activities of the object(s).

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: A method including receiving a first set of one or more street level images of houses into a Machine Learned Model trained with a second set of street level images with one or more exterior features of the houses labeled, identifying the one or more exterior features in the first set of street level images by way of the Machine Learned Model, and quantifying and outputting the counts and/or two-dimensional areas for each of the identified exterior features in the first set of one or more street level images is described. Non-transitory, computer-readable storage media having instructions for executing the method steps by one or more processors as well as computer or computer systems capable of performing the method steps are also described.

Abstract: An image processing method includes an electronic device that outputs a first frame rate when the electronic device detects that ambient light brightness in a current environment is less than or equal to a first preset light brightness threshold; collects first video data based on the first frame rate, where the first video data includes a plurality of frames of images; and performs frame interpolation on the frames of images to obtain and store second video data, where a frame rate of the second video data is greater than the first frame rate.

Abstract: A method enables video surveillance service subscribers to share image streams with individual first responder agencies in the event of emergency. A customer administrator selects permissions on each camera via privileged web-browser or mobile device. Permissions enable selection by static meta data such as type, audio, location, motion, recognition, spectrum, and epoch. Setting ranges of time controls access to video streams of present and past epochs. Under control by a customer administrator, a virtual machine dedicated to each responding agency instantiates a video server. A camera is shared by a customer administrator's selection of permissions on each camera via privileged web-browser or mobile device. Video streams of present and past epochs are controlled by ranges of time. A notification is customized for each responding agency and each event by dynamically generating a link to a secure webserver which records geo-location or network identifiers for validation.

Abstract: Systems and methods for optimizing multi-camera multi-entity artificial intelligence tracking systems. Visual and location information of entities from video feeds received from multiple cameras can be obtained by employing an entity detection model and re-identification model. Likelihood scores that entity detections belong to an entity track can be predicted from the visual and location information. The entity detections predicted into entity tracks can be processed by employing combinatorial optimization of the likelihood scores by identifying assumptions from the likelihood scores, entity detections, and the entity tracks, filtering the assumptions with unsatisfiable problems to obtain a filtered assumptions set, and optimizing an answer set by utilizing the filtered assumptions set and the likelihood scores to maximize an overall score and obtain optimized entity tracks. Multiple entities can be monitored by utilizing the optimized entity tracks.

Abstract: An apparatus includes: an image capturing module configured to capture an image; a converting module configured to convert a first image with a first resolution to a second image with a second resolution; a storing module configured to store the first image and the second image; a communication module configured to receive a wireless signal; and a processor configured to functionally be connected with the image capturing module, the converting module, the storing module and the communication module, wherein the processor is configured to receive, from an external device, a request signal for requesting information related to the second image; generate a metadata related to the second image by analyzing the second image; and transmit, to the external device, an additional information about the second image based on the metadata.

Abstract: An image capturing apparatus that communicates with an information processing apparatus that performs processing of combining an image of a real space and an image of a virtual space, the image capturing apparatus includes an imaging unit configured to capture an image of a subject formed by an imaging optical system, a determination unit configured to determine at least one mode among a plurality of modes related to a viewing angle of the image capturing apparatus, a generation unit configured to generate camera data including a first parameter indicating the mode determined by the determination unit and a second parameter corresponding to a lens position of the imaging optical system, and a transmission unit configured to transmit camera setting information including the camera data to the information processing apparatus, wherein the first parameter and the second parameter are used to identify the viewing angle of the image capturing apparatus.

Abstract: An information processing apparatus that controls the movement of a movable apparatus acquires information regarding surroundings of the movable apparatus, analyzes the type of an object that is present around the movable apparatus by using the acquired sensor information, and generates or updates an environment map that is surrounding information of the movable apparatus on the basis of the analyzed type of the object.

Abstract: Image readability is improved via one or more patterns taken using different light wavelengths. A first pattern may include alphanumeric characters, barcodes, Quick Response (QR) codes, or a similar unique code that can be used to identify vehicle license plates, road signals, charts, placards, advertisements, or the like, using a light wavelength such as a visible light wavelength. A paired second pattern may include a copy of the first pattern or a different pattern but constructed with a different material that responds to a different light wavelength e.g., Ultra-Violet (UV) light wavelength. In one example, the paired second pattern may be identified and used as a reference for identifying the first pattern. This technique of using multi-patterns for identifying road signals, charts, placards, advertisements, and particularly the vehicle license plates during extreme weather conditions may improve law enforcement operations or other similar purposes.

Abstract: A data processing device is a device that detects an abnormality in a facility disposed in a room or a sign thereof and includes an acquisition unit and a processing unit. The acquisition unit acquires processing target data. The processing target data is generated by recording an audio or a video inside the room. The processing unit processes a part of the processing target data (hereinafter, referred to as a processing target part) for generating facility information relating to a facility disposed inside the room. Then, the processing unit detects a reference timing that is a timing satisfying a reference condition set in advance and sets the processing target part using the reference timing.

Abstract: Methods and systems including computer programs encoded on a computer storage medium, for receiving a first video clip indicative of an event from a camera, determining a category for the first video clip, determining a difference threshold based on the category of the first video clip, receiving a second video clip from the camera, determining a difference score for the first video clip and the second video clip, and in response to determining that the difference score for the first video clip and second video clip meets the difference threshold, providing an alert.

Abstract: A method of performing sensor fusion of data obtained from a camera (51) and a supplemental sensor (52), the method comprising performing patch tracking (55) on image data (53) provided by the camera (51) to determine tracked patches (56), and performing a fusion (57) of the image data (53) obtained from the camera (51) with supplemental data (54) provided by the supplemental sensor (52) based on the tracked patches (56).

Abstract: The present invention relates to a car underbody inspection robot that is inserted under the car to inspect the underside of the car while driving. The car underbody inspection robot comprises a robot body, a driving camera, a plurality of underbody inspection cameras, a communication unit, and a control unit.

Abstract: A method for providing event-specific intervention recommendations includes identifying, based on an event trigger, one or more sensors, determining, by processing data streams provided by the identified sensors, a set of event related entities and constructing, for each entity of the determined set of entities, an associated feature vector of the entity's features, generating, based on the determined entities and their respective feature vector, an entity-feature-graph, computing, by performing graph classification of a predefined set of allowed interventions based on a trained graph classification model, a ranked list of interventions; and selecting, according to predefined rules, one or more interventions from the ranked list of interventions and providing the selected interventions as recommended interventions for execution. The method can be used to support decision making.

Abstract: A method and system for unauthorized person alerting. The method includes activating at least one non-imaging sensor to capture non-imaging data. The non-imaging sensor monitors an area in respect of which a physical access control system restricts access. At least one processor is employed to generate a count of people present in the monitored area from computerized analysis of the non-imaging data. An unauthorized person alert is generated based on at least one of a plurality of alert conditions being satisfied.

Abstract: A processing system including at least one processor may obtain a data feed of a region of a virtual environment associated with a virtual representation of a user within the virtual environment and extract behavioral data of the virtual representation of the user from the data feed. The processing system may further detect at least one health anomaly related to a physical condition of the user from the behavioral data via at least one first detection model for detecting the at least one health anomaly and generate an alert in response to the detecting of the at least one health anomaly that is related to the physical condition of the user.

Abstract: The present disclosure relates to a method for determining a state of a vehicle on a road portion having two or more lanes. The method includes obtaining map data associated with the road portion and positioning data indicating a position of the vehicle on the road and a sensor data from a sensor system of the vehicle. The method further includes initializing a filter per lane of the road portion based on the obtained map data, the obtained positioning data, and the obtained sensor data, wherein each filter indicates an estimated state of the vehicle on the road portion. Then, selecting one of the initialized filters using a trained machine-learning algorithm, configured to use the obtained map data, the positioning data, the sensor data, and each estimated state as indicated by each filter as input and to output a current state of the vehicle on the road portion.

Abstract: Systems and methods to seek a requested playback time for multiple remotely stored media files concurrently playing in a web browser running on a client computer, including providing, on a web page displayed by the web browser, a reference timeline based on metadata of each media file of a set of selected media files comprising media content. A seek instruction is received comprising a first requested playback time on the reference timeline. A subset of the media files which are to play at the first requested playback time on the reference timeline is identified based on the metadata of each media file of the set of selected media files. The media content of the subset of media files is retrieved for the first requested playback time from remote storage. The retrieved media content is output to corresponding display areas provided on the web page.

Abstract: The present disclosure provides a method for waking up a camera and apparatus thereof. The method includes: acquiring at least one wake-up signal for waking up the camera; performing pre-determined signal processing on the acquired wake-up signal to extract indicative features; determining wake-up scenario information corresponding to the acquired wake-up signal based on the indicative features; determining, based on the determined wake-up scenario information, an activation scheme corresponding to the wake-up scenario information, wherein the activation scheme defines activation priority at least one functional module in the camera in the wake-up scenario; and activating at least one functional module based on activation priority defined in the determined activation scheme.

Abstract: A tracking support system includes a position calculating section connected with a plurality of cameras arranged in a predetermined monitoring area to transmit video images imaged by the plurality of cameras and configured to calculate a position of the tracking target based on the video images received from the plurality of cameras; a tracker selecting section configured to select a tracker to be instructed to track the tracking target, based on position information of the terminal received from the terminal and the calculated position of the tracking target; and an information transmitting section configured to transmit information of a distance between the tracking target and the terminal during the tracking of the tracking target to the terminal carried by the selected tracker.

Abstract: A method includes: A first application on the first electronic device invokes a first function; the first electronic device determines to implement the first function by using the second electronic device; the first electronic device, implements data transmission with the second electronic device by using a first function transceiver module of the first electronic device; and a first function processing module of the first electronic device processes data generated during implementation of the first function, where the first function transceiver module and the first function processing module are disposed at a hardware abstraction layer of the first electronic device.

Abstract: The present disclosure provides a curve-based radiometric calibration method and system of a spaceborne hyperspectral imager, which belongs to the field of remote-sensing optical technologies. A new radiometric calibration coefficient curve is introduced to describe the radiometric properties of sensor response, providing the radiometric calibration coefficients of all bands of the hyperspectral camera with linear variable filter (LVF) within an imaging spectral range to match the implementation of the programmable band selection imaging technology, and thereby efficiently and simply implementing single-band imaging, integral imaging of adjacent band, imaging of randomly-selected band combination and within-spectral-range cyclic imaging.

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: An example electronic device may include a communication module comprising communication circuitry, and at least one processor, wherein the at least one processor may be configured to control the communication module to acquire first information related to a suspected event from a first external electronic device, determine a second external electronic device to be dispatched to a location where the suspected event has occurred, control the second external electronic device, acquire second information related to an analysis result of the suspected event from the first external electronic device, and perform a subsequent procedure based on the acquired second information.

Abstract: A camera assembly may include a camera and one or more heat sinks configured to dissipate heat generated by the camera. The heat sinks being in thermal contact with a printed circuit board including the camera. A housing of the camera assembly may be configured to maintain the camera in a fixed position while the camera assembly is mounted on a medical device such as a dispensing cabinet. The camera in the fixed position may have a deterministic field of view that includes a first area in which interactions with the medical device and adjacent medical devices occurs or is expected to occur. The deterministic field of view of the camera may further exclude a second area where surveillance is unsuitable, prohibited, and/or unnecessary. Images captured by the camera may be analyzed to detect anomalous behavior such as diversion, medical error, hazardous behavior, and protocol noncompliance.

Abstract: An elevator system is provided. The system comprises a first acquisition unit that acquires an image in a car of an elevator and an image of a landing of the elevator; a first generation unit that generates first learning data from the acquired images; a learning unit that performs learning using the first learning data, thereby generating a first learned model; a second generation unit that generates input data from a new image; an estimation unit that estimates, by applying the input data to the first learned model, whether the person on the landing of the elevator, which is included in the new image, gets in the elevator; and a control unit that controls an operation of the elevator based on an estimation result.

Abstract: A computer-implemented method of remotely influencing a performer at a live event is disclosed herein. The method, for example, can be implemented via a customer device including a display, a processor, and a memory configured to store an application that, when executed by the processor, causes the processor to perform the method. The method can include displaying a graphical user interface configured to receive user inputs, receiving a first user input including a user request for the performer to take a user-specified action during the live event, displaying terms and conditions associated with the user request, receiving a second user input including a user acceptance of the terms and conditions associated with the user request, and transmitting the user request to a performer device upon receiving the user acceptance of the terms and conditions associated with the user request.

Abstract: A display terminal comprising circuitry that displays a first predetermined-area image on a display screen, the first predetermined-area image representing a predetermined area in a first wide-view image having been captured at a given location on a first date and time; and displays a second predetermined-area image on the display screen, the second predetermined-area image being related to the predetermined area in a second wide-view image, the second wide-view image having captured at the given location on a second date and time different from the first date and time.

Abstract: This disclosure relates to a system configured to facilitate remote verification of alarm events. Responsive to detection of an alarm event at a location of interest, clips of security video information and/or substantially real-time images may be presented to an end user on a user device associated with the end user, and/or to a reviewer via a central station, to facilitate determination of whether or not the detected alarm event is false. The system is configured to facilitate remote verification of alarm events by the end user and/or the reviewer while still protecting the privacy of the end user. The system may be configured to allow review of the clips and/or the substantially live images by the reviewer at the central station only responsive to detection of an alarm event, and only for a temporary period of time following the detection of the alarm event.

Abstract: A tracking support system includes a position calculating section connected with a plurality of cameras arranged in a predetermined monitoring area to transmit video images imaged by the plurality of cameras and configured to calculate a position of the tracking target based on the video images received from the plurality of cameras; a tracker selecting section configured to select a tracker to be instructed to track the tracking target, based on position information of the terminal received from the terminal and the calculated position of the tracking target; and an information transmitting section configured to transmit information of a distance between the tracking target and the terminal during the tracking of the tracking target to the terminal carried by the selected tracker.

Abstract: A tracking support system includes a position calculating section connected with a plurality of cameras arranged in a predetermined monitoring area to transmit video images imaged by the plurality of cameras and configured to calculate a position of the tracking target based on the video images received from the plurality of cameras; a tracker selecting section configured to select a tracker to be instructed to track the tracking target, based on position information of the terminal received from the terminal and the calculated position of the tracking target; and an information transmitting section configured to transmit information of a distance between the tracking target and the terminal during the tracking of the tracking target to the terminal carried by the selected tracker.

Abstract: A method for controlling passive infrared sensors includes obtaining a three-dimensional image of a space to be laid out; arranging a plurality of PIR sensors and a plurality of sensor lamps on the three-dimensional image, a distance L between each adjacent two PIR sensors is equal to or less than a sensing radius of the PIR sensor; connecting each PIR sensor to a wireless network including a plurality of wireless sub-networks, each wireless sub-network includes four PIR sensors and at least one sensor lamp; controlling the four PIR sensors to sense living bodies in pairs every detection period, and when sensing data of living body is fed back, determining that there is at least one living body in the wireless sub-network; and determining a working state of the sensor lamp according to whether there is at least one living body in the wireless sub-network.

Abstract: A system for distributed data compression leverages edge and central computing devices to optimize efficiency and quality. The system includes a lightweight compression subsystem at the edge device that preprocesses and partially compresses input data before transmitting it to a central computing device. The central compression subsystem further processes the data using adjustable compression parameters and a temporal modeling component, reconstructing the data with high fidelity. The system dynamically optimizes preprocessing, encoding, and reconstruction operations based on resource availability, network conditions, and application-specific criteria. This distributed approach improves bandwidth efficiency and adaptability, making it suitable for applications requiring low-latency or resource-constrained environments.

Abstract: In the present invention, a process of receiving an image obtained by capturing a measurement target place with a camera, calculating a number of people in the measurement target place based on the image received, and allocating a car according to the calculated number of people is performed. Here, when an abnormality that an image from the camera cannot be received is determined, a process of referring to a detection value of a sensor or the like installed in a car or in the measurement target place to calculate the number of people in the car or the measurement target place is performed.