Abstract: A computer comprising a plurality of interconnected processing nodes arranged in multiple stacked layers forming a multi-face prism is provided. Each face of the prism comprises multiple stacked pairs of nodes. Said nodes are connected by at least two intralayer links. Each node is connected to a corresponding node in an adjacent pair by an interlayer link. The corresponding nodes are connected by respective interlayer links to form respective edges. Each pair forms part of a layers, each layer comprising multiple nodes, each node connected to their neighbouring nodes in the layer by at least one of the intralayer links to form a ring. Data is transmitted around paths formed by respective sets of nodes and links, each path having a first portion between a first and second endmost layers, and a second portion provided between the second and first endmost layers and comprising one of the edges.

Abstract: Automated occupant protection in stationary vehicles, including: detecting that an occupant is inside a stationary vehicle and that an operator is not in the stationary vehicle; detecting, based on one or more observations of the occupant, that one or more risk conditions have been met; and sending an alert to the operator in response to the one or more risk conditions being satisfied.

Abstract: The present application relates to a pet safety management method and system, computer equipment and a storage medium. The method includes: acquiring a first video comprising a target pet and a target object, the target object being an active object except the target pet; analyzing the first video to determine a first state of the target pet and a second state of the target object; acquiring a surrounding environment video of the target pet if the target pet is determined to be in an initial dangerous state according to the first state and the second state; and analyzing the surrounding environment, determining that the target pet is in a dangerous state if the surrounding environment is an interference-free environment, and controlling an warning device carried by the target pet to send a warning message to timely prevent a pet from being stolen.

Abstract: A method of reducing false positives and identifying relevant true alerts in a video management system includes analyzing images to look for patterns indicating changes between subsequent images. When a pattern indicating changes between subsequent images is found, the video management system solicits from a user an indication of whether the pattern belongs to one of two or more predefined categories. The patterns indicating changes between subsequent images are saved for subsequent use. Subsequent images received from the video camera are analyzed to look for patterns indicating changes between subsequent images. When a pattern indicating changes between subsequent images is detected by the video management system, the video management system compares the pattern indicating changes between subsequent images to those previously categorized into one of the two or more predefined categories. Based on the comparison, the video management system may provide an alert to the user.

Abstract: Biometrics are increasingly used to provide authentication and/or verification of a user in many security and financial applications for example. However, “spoof attacks” through presentation of biometric artefacts that are “false” allow attackers to fool these biometric verification systems. Accordingly, it would be beneficial to further differentiate the acquired biometric characteristics into feature spaces relating to live and non-living biometrics to prevent non-living biometric credentials triggering biometric verification. The inventors have established a variety of “liveness” detection methodologies which can block either low complexity spoofs or more advanced spoofs. Such techniques may provide for monitoring of responses to challenges discretely or in combination with additional aspects such as the timing of user's responses, depth detection within acquired images, comparison of other images from other cameras with database data etc.

Abstract: A method for traffic light auto-labeling includes aggregating vehicle-to-infrastructure (V2I) traffic light signals at an intersection to determine transition states of each driving lane at the intersection during operation of an ego vehicle. The method also includes automatically labeling image training data to form auto-labeled image training data for a traffic light recognition model within the ego vehicle according to the determined transition states of each driving lane at the intersection. The method further includes planning a trajectory of the ego vehicle to comply with a right-of-way according to the determined transition states of each driving lane at the intersection according to a trained traffic light detection model. A federated learning module may train the traffic light recognition model using the auto-labeled image training data during the operation of the ego vehicle.

Abstract: An information processing device includes a receiving unit for receiving face image data of a student, who takes a class in a classroom, a plurality of times during the class from a camera provided in the classroom; a control unit for comparing the face image data with registered face image data of the student and count the number of times the student of the registered face image data is photographed by the camera during the class; and a transmission unit for transmitting the number of times of photographing to a terminal device used by a teacher who teaches the class.

Abstract: Disclosed is an approach of on-device partial recognition that includes performing partial recognition on an image of a document captured by a mobile device to detect and/or recognize a specific area (e.g., barcodes, non-relevant text, etc.) and filling the recognized area with a solid color. Because the solid color area has a maximum compression ratio, this approach can lead to image size reduction and increased network throughput for client-server based data recognition where further processing such as advanced data extraction is performed at the server side. The approach can be enforced with neural network algorithms to exclude non-relevant information (e.g., logos, phrases, words, etc.).

Abstract: Repetitive activities can be captured in audio video content. The AV content can be processed in order to predict the number of repetitive activities present in the AV content. The accuracy of the predicted number may be improved, especially for AV content with challenging conditions, by basing the predictions on both the audio and video portions of the AV content.

Abstract: An information providing method includes: generating first information indicating that a user has performed a predefined activity when (i) information indicating an activity of the user includes information indicating the predefined activity and (ii) movement of an object corresponding to the predefined activity is detected by a second sensor after a first sensor detects the activity of the user; obtaining, from a second information processing apparatus connected to a first information processing apparatus, information indicating first request content over a network; and when content of the first information is included in the first request content, outputting, to the second information processing apparatus, second information including information for identifying the user or a space, using the first information generated.

Abstract: A system includes video cameras arranged to monitor a vulnerable person, and a processor system that receives video frames from the video cameras, the processor system comprising a processor and a non-transitory, computer-readable storage medium having machine instructions executed by the processor. The processor detects and identifies objects in a current received video frame, classifies an identified object as the person by applying a facial recognition algorithm that identifies the person, determines a posture of the person by identifying joints, limbs, and body parts, and their respective orientations to each other and to a plane, and immediately discards the current video frame. The processor then determines a change in motion, of the person, between the current received video frame and one or more prior received video frames, and, based on the determined posture and the change in motion, determines that the person has experienced a defined event.

Abstract: Systems, methods, and processor readable media for distributing digital data and electrical power to a plurality of devices over high-impedance cables are disclosed. Certain embodiments include a gateway device connected to a power source, a first device connected to the gateway device by a cable, the cable being a high-impedance cable having at least two conductive paths, and wherein the first device receives electrical power and digital data from the gateway device via the cable over the same conductive path of the cable, a second device connected to the gateway device by the cable wherein the second device receives power and digital data from the gateway device via the cable over the same conductive path, and wherein the power source provides power to the first and second devices via the cable, and wherein the second device is connected to the gateway device through the first device via a daisy-chain topology.

Abstract: Disclosed herein are systems, methods, and devices for detecting traffic lane violations. In one embodiment, a method for detecting a potential traffic violation is disclosed comprising bounding a vehicle detected from one or more video frames of a video in a vehicle bounding box. The vehicle can be detected and bounded using a first convolutional neural network. The method can also comprise bounding, using the one or more processors of the edge device, a plurality of lanes of a roadway detected from the one or more video frames in a plurality of polygons. The plurality of lanes can be detected and bounded using multiple heads of a multi-headed second convolutional neural network. The method can further comprise detecting a potential traffic violation based in part on an overlap of at least part of the vehicle bounding box and at least part of one of the polygons.

Abstract: The present disclosure provides a method and a device for training a neural network model for use in analyzing captured images, and an intelligent image capturing apparatus employing the same. The neural network model can be trained by performing the image reconstruction and the image classification using based on image data received from a plurality of image capturing devices installed in the monitoring area, calculating at least one loss function based on data processed by the neural network model or the neural network model training device, and determining parameters minimizing the loss function. In addition, the neural network model can be updated through the re-training taking into account the newly acquired image data. Accordingly, the image analysis neural network model can operate with high precision and accuracy.

Abstract: An object tracking system that includes a plurality of sensors and a tracking system. A first sensor from the plurality of sensors is configured to capture a first frame of a global plane for at least a portion of the space. The tracking system is configured to determine a pixel location in the first frame for an object located in the space, and to apply a homography to the pixel location to determine a coordinate in the global plane. The homography is configured to translate between pixel locations in the first frame and coordinates in the global plane.

Abstract: An information processing apparatus learns an attribute-positional relation in a form for learning to create an attribute-positional relation rule for a character string in a form, determines correspondence between a character string in a result of character recognition executed on an image of the form for learning and an attribute in form data for learning based on the form for learning to create a character string attribute model for acquiring a probability of an attribute of the character string in the form, applies the character string attribute model to a character string in a result of character recognition executed on an image of the form to acquire the probability of an attribute, and corrects the probability based on a position in the form of the character string in the result of the character recognition executed on the image of the form and the attribute-positional relation rule.

Abstract: An integrative computational soil mapping system and process that reduces the required number of soil property measurements without jeopardizing the statistical precision of the resulting digital soil maps. The integrative computational soil mapping system and process saves monetary resources and time by reducing the number of soil property measurements required to produce digital soil maps and by offering soil sample locations which capture the maximum amount of representativeness of the soil characteristics in a determined area. In addition, the inventive system and process are integrative computational soil mapping that utilize algorithms based on state-of-the-art computational statistics and machine learning methods for the production of digital soil property maps and also provides soil sampling locations to collect new soil property measurements.

Abstract: Method and system for extracting metadata from an observed scene comprising the use of high-speed image sensor array observing the scene through a field-of-view, filtering, matching of interesting information defined as activity/incident in the observed scene with a predefined-library, adapting the filtering to enhance frequencies of interest and suppress all others, and extracting metadata of interest.

Abstract: Provided is a neural network device including at least one processor configured to implement an arithmetic circuit configured to generate third data including a plurality of pixels based on a neural network configured to perform an arithmetic operation on first data and second data, and a compressor configured to generate compressed data by compressing the third data, wherein the compressor is further configured to generate, as the compressed data, bitmap data comprising location information about a non-zero pixel having a non-zero data value among the plurality of pixels based on a quad-tree structure.

Abstract: A system and method for error estimation in an eye gaze tracking system in a vehicle may include an operator monitoring system providing measured eye gaze information corresponding to an object outside the vehicle and an external object monitoring system providing theoretical eye gaze information and an error in the measured eye gaze information based upon the measured eye gaze information and the theoretical eye gaze information.