Surveillance system for detecting vehicle violating exclusive bus lane

    公开(公告)号:US12125381B2

    公开(公告)日:2024-10-22

    申请号:US18373228

    申请日:2023-09-26

    CPC classification number: G08G1/0175 G06V20/54 G06V20/625

    Abstract: The present disclosure relates to a surveillance system for detecting a vehicle violating an exclusive bus lane, more particularly, to a surveillance system for detecting a vehicle violating an exclusive bus lane, the surveillance system detecting the car type and the number of in-vehicle persons of a vehicle entering a highway through one or more cameras disposed at a highway entrance tollgate or a highway on-ramp and issuing a pass when a condition for using an exclusive bus lane is satisfied; and surveilling whether vehicles use an exclusive bus lane through one or more surveillance cameras disposed on the highway and detecting and sanctioning vehicles not issued with a pass as violating vehicles, which violate the law about use of an exclusive bus lane, depending on whether a pass was issued, by inquiring into the plate numbers of the vehicles using the exclusive bus lane.

    SYSTEMS AND METHODS FOR GENERATING NOTIFICATIONS RELATED TO SUSPICIOUS INDIVIDUALS

    公开(公告)号:US20240331393A1

    公开(公告)日:2024-10-03

    申请号:US18741432

    申请日:2024-06-12

    Abstract: Methods, systems, and computer-readable media for suspicious individual notification. The method includes capturing a video feed of at least a portion of a real estate property. The method also includes determining, using at least the video feed, identifiers of an individual entering the real estate property. The method further includes detecting, based on the identifiers and by using machine learning models, a match to an entry in a database of suspicious individuals (DSI). The method also includes determining a strength of the match to the entry in the DSI. The method further includes determining that the strength of the match is greater than a probability threshold associated with the entry in the DSI. Responsive to determining that the strength of the match is above the probability threshold, the method also includes transmitting an alert to one or more mobile computing devices associated with one or more designated entities.

    DETECTION DEVICE, DETECTION SYSTEM, AND DETECTION METHOD

    公开(公告)号:US20240331391A1

    公开(公告)日:2024-10-03

    申请号:US18578010

    申请日:2022-05-25

    Inventor: Shohei OGAWA

    CPC classification number: G06V20/54 G06V20/44 G06T2207/30236

    Abstract: Provided is a detection device including: a detection unit configured to acquire sensor information from a sensor, the sensor being configured to transmit an electromagnetic wave to a road and receive the electromagnetic wave reflected by a target object to detect the target object, the detection unit being configured to detect an event set in advance, based on the acquired sensor information; a selection unit configured to select, in accordance with a content of the event detected by the detection unit, a camera that captures an image regarding the event out of a plurality of cameras installed on the road; and an instruction unit configured to instruct the camera selected by the selection unit to perform image capturing.

    IMAGE PROCESSING METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT

    公开(公告)号:US20240290104A1

    公开(公告)日:2024-08-29

    申请号:US18129938

    申请日:2023-04-03

    CPC classification number: G06V20/54 G06V10/764 G06V10/778 G08G1/16

    Abstract: Embodiments of the present disclosure provide an image processing method, an electronic device, and a computer program product. The method may include receiving a sub-image containing a target object and location information of the target object from a first computing node, the sub-image being intercepted from a monitoring image by the first computing node through target detection, the monitoring image being acquired by a roadside device and containing the target object, and the first computing node being located near the roadside device. The method may further include determining classification information of the target object based on the sub-image at a second computing node different from the first computing node. In addition, the method may further include generating safety hint information for the target object at the second computing node at least based on the classification information and the location information.

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