Abstract: A method of allocating bandwidth in a system including first and second data collectors in communication with a supervising node over a shared communications resource, the method including: transmitting sensor data from the first and second data collectors to the supervising node over the shared communications resource; performing computer object detection on sensor data collected by the first and second data collectors; responsive to the computer object detection identifying an object of interest within the sensor data collected by the first data collector, increasing the bandwidth allocated to the first data collector on the shared communications resource; and transmitting further sensor data from the first data collector to the supervising node utilizing the increased bandwidth allocation.

Abstract: An electronic monitoring system and a method of dynamically altering an activity zone within the electronic monitoring system are provided. The electronic monitoring system includes a camera having a first field-of-view and operating to generate a first image data. A user device is configured to receive the first image data; define an activity zone at a first area within the first image data; define a triggering event; and define an object in the first field-of-view. A computer-readable memory stores the data corresponding to the object. An electronic processor executes a stored program and receives the image data from the camera to generate an alert in response to the occurrence of a triggering event.

Abstract: The present invention relates to an image encoding method and an image decoding method. The image decoding method includes partitioning a picture into a plurality of coding units, constructing a coding unit group including at least one coding unit of the plurality of coding units, obtaining coding information in units of one coding unit group, and decoding at least one coding unit of the plurality of coding units included in the coding unit group by using the obtained coding information.

Abstract: The present disclosure provides an electronic device for providing a blind spot video through a front pillar of a vehicle and an operating method of the same. In the present disclosure, the electronic device is configured to have pillar display modules provided to front pillars, respectively, to detect at least one of blind spot videos that are obscured by front pillars of a vehicle using at least one external video of the vehicle, and to display at least one of the blind spot videos through at least one of the pillar display modules. In an example embodiment, the electronic device may acquire the external video from a front camera module and side camera modules mounted to the vehicle to provide a surround view video.

Abstract: An image capturing apparatus and a mobile cleaning robot are provided. The image capturing apparatus includes a light emitter, an image sensor, and a filter. The light emitter is configured to emit an invisible light to a target. The image sensor includes a field of view (FOV) covering an area of the target from near to far and is configured to sense the invisible light reflected from the area of the target and generate an image of the area of the target. The filter is configured to filter the invisible light to transform the invisible light into a non-uniform invisible light.

Abstract: Systems, methods, and devices, for melanoma pathology using one or more neural networks (NNs). The techniques described herein may include receiving molecular data corresponding to a patient biopsy sample; molecular data; encoding molecular output data according to a preselected encoding scheme; receiving image data corresponding to the patient biopsy sample; applying the image data to an image analysis NN; concatenate the encoded molecular data to the image data at an intermediate layer of the image analysis NN; and producing, based on the encoded molecular information and the image information concatenated at the intermediate layer, a prognosis output from the image analysis NN. Many other features and examples are described herein.

Abstract: An electronic monitoring system and method for monitoring an environment are provided. The electronic monitoring system includes at least one monitoring device configured to monitor a zone within the environment and selectively capture video streams in response to corresponding triggering events. A controller, including an AI algorithm, is configured to receive data from the at least one monitoring device relating to the monitored zone. Patterns are automatically identified and evaluated in the data received and a characteristic of a video stream to be captured is modified, at least partially, in response to the identified patterns in previously received data.

Abstract: A method includes receiving, by a computing device, multiple camera frames from a first location. The method includes stitching, by the computing device, the multiple camera frames in real time. The method includes transmitting, by the computing device, the stitched multiple camera frames to a user device. The user device located at a second location is configured to control a device at the first location.

Abstract: Audiovisual teleconferencing providing image data captured by a medical scope. A system includes a scope comprising an image sensor and a processor in electronic communication with the image sensor. The processor is configured to execute instructions including receiving an image output by the image sensor and providing the image to a remote server by way of a network connection. The remote server communicates the image to each of a first computing device and a second computing device in near real-time.

Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

Abstract: Methods and apparatus for streaming content corresponding to a 360 degree field of view are described. The methods and apparatus of the present invention are well suited for use with 3D immersion systems and/or head mounted display which allow a user to turn his or her head and see a corresponding scene portion. The methods and apparatus can support real or near real time streaming of 3D image content corresponding to a 360 degree field of view.

Abstract: A surveillance system having a person detector includes an imaging sensor for recording digital image files or point clouds and includes an evaluation unit that is configured to evaluate the image files or the point clouds and to output position information of a person detected in a surveillance region, wherein a diagnostics unit has a first input channel for receiving the position information, a first output for checked position information of the detected person, and has a second output for an error signal, where the diagnostics unit is provide with a checking unit for checking the output of the position information of the detected person for plausibility with a plurality of plausibility criteria and is further configured to detect an error and output the error signal at the second output, if at least one plausibility criterion is violated.

Abstract: Provided are a video segmentation method and apparatus, a device, and a medium. The method includes: acquiring a to-be-segmented video, and determining a correspondence between knowledge point data in the to-be-segmented video and video frames in the to-be-segmented video; and segmenting the to-be-segmented video according to the correspondence to obtain at least one video segment.

Abstract: A digital content operating apparatus, including: a communication unit which communicates with an external device which has a display for displaying the digital content; a user operation interface which receives a user operation to control the digital content which is displayed on the external device; a display which displays either a linear content operation panel or an interactive content operation panel; and a controller which controls the user operation interface corresponding to information on the digital content which is displayed on the external device; wherein either the linear content operation panel or the interactive content operation panel is displayed alternatively as the user operation interface on the display.

Abstract: An information processing apparatus includes at least one processing circuit, and at least one memory that stores a computer-readable instruction for causing, when executed by the at least one processing circuit, the information processing apparatus to obtain a first image from a first image capturing unit configured to capture an image with a predetermined angle of view, obtain a second image from a second image capturing unit configured to capture an image of an area overlapping an area whose image is captured by the first image capturing unit with an angle of view narrower than the predetermined angle of view, and wherein, in a case where the first image is rotated by a predetermined angle on a display unit, a display position of the second image on a screen of the display unit is changed based on the predetermined angle.

Abstract: An artificial intelligence (AI) software product for providing scalable intelligent video surveillance for the artificial intelligence of things. The AI software product performs operations including receiving, at an edge node, a sequence of images of a target environment, where the AI software product resides in the edge node, and where the edge node is local to the target environment. The AI software product further observes one or more target objects in the sequence of images of the target environment in real time. The AI software product further detects at the edge node one or more anomalies in the target environment based on the observing of the one or more target objects in real time, where the one or more anomalies are specific to the target environment.

Abstract: To enable an observation image according to an observation setting to be simply and quickly acquired while focusing on each of a plurality of observation positions. In batch replay, a plurality of observation positions are identified, and replay is executed for each of the plurality of observation positions. In particular, the plurality of observation positions to be observed in the batch replay are identified along with reception of a simple user operation such as designation of a target position (steps S207 and S209) or designation of an observation image (steps S203 and S208). Further, an observation setting when the observation image is acquired at each of the plurality of observation positions is designated along with reception of a simple user operation of designating a desired observation image from among observation images stored in a storage unit (step S203).

Abstract: A school food and beverage recognition and processing system includes a self-checkout system that attaches to a school meal line. The self-checkout system uses multiple cameras to obtain images of a student for identification and images of a meal, identify contents of the meal, and determine whether the meal qualifies for reimbursement through a health program or agency. In addition to determining meal reimbursement qualifications, the self-checkout system tracks the meals and items sold for inventory and purchasing purposes. The self-checkout system sends reports to the school or administration agency including reimbursement information, inventory information, and customer information. This information is used to update a student's prepaid school meal account and track transactions.

Abstract: The present disclosure discloses a Method for Processing Three-dimensional Scanning, a three-dimensional scanning device, and a computer-readable storage medium. The method includes: projecting, by a pattern projector, a plurality of lines to a surface of an object-to-be-measured; collecting, by three cameras, two-dimensional images on the surface of the object-to-be-measured to correspondingly obtain three frames of two-dimensional images; determining matching point pairs between every two of the three frames of two-dimensional images to correspondingly obtain three sets of matching point pairs; verifying matching consistency between the matching point pairs; and performing three-dimensional reconstruction on the matching point pairs with the matching consistency to obtain three-dimensional points on the surface of the object-to-be-measured.

Abstract: According to an embodiment, a parking video recording system comprises an AVNT installed in a vehicle and a video recording device, wherein the AVNT is configured to receive an intent to use public CCTV from a user, transmit a location of the vehicle to an external server, and receive at least one public CCTV video within a predetermined distance from the location of the vehicle from the external server.