Vehicle deviation detection system based on video linkage and intelligent Internet of things
A technology of video linkage and detection system, which is applied in the field of vehicle deviation detection system, which can solve the problems of inability to judge the route of transport vehicles, reduce work efficiency, and timely reminder of transport vehicle deviation routes.
Active Publication Date: 2022-04-26
国能智慧科技发展(江苏)有限公司
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Problems solved by technology
[0003] However, in bad weather, such as foggy weather, it is difficult to obtain vehicle identity information and vehicle movement status from the intersection image obtained by video surveillance equipment, and it is impossible to judge the path of the transport vehicle, resulting in a timely reminder of the deviation of the transport vehicle route. Reduced work efficiency
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[0036] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, a vehicle deviation detection system based on video linkage and intelligent Internet of Things proposed according to the present invention will be described below in conjunction with the accompanying drawings and preferred embodiments. , its specific implementation, structure, characteristics and effects thereof are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
[0037] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention.
[0038] The specific scheme of a vehic...
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The invention relates to the technical field of artificial intelligence, in particular to a vehicle deviation detection system based on video linkage and intelligent Internet of Things. The system obtains the vehicle light image of the road area in the foggy intersection image through the image acquisition module. The transport vehicle judging module judges the light image of the transport vehicle by hue and brightness in the light image of the vehicle. The first illuminated edge acquisition module acquires the first illuminated edge of the transport vehicle by processing the image of the transport vehicle's illuminated image through edge detection. The lighting range segmentation module smoothly scales the edge of the first lighting to obtain the lighting range. The driving direction acquisition module judges the driving direction of the transport vehicle through the slope change of the central dividing line of the lighting range, the brightness change of buildings on both sides and the lack of lighting range. The vehicle deviation detection module uses the travel time to judge the vehicle information, and promptly reminds the vehicle of the route deviation. The invention can accurately identify the vehicle that deviates from the route in foggy weather and give a reminder and warning.
Description
technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a vehicle deviation detection system based on video linkage and intelligent Internet of Things. Background technique [0002] In the smart factory, most of the vehicle path deviation detection methods use the integration platform to integrate the real-time positions of multiple running vehicle systems on the same map, update the actual route of the transport vehicle through the real-time positioning information of the vehicle, and compare it with the set operating route. Comparisons are made to detect deviations from shipping routes. When the positioning device is abnormal, or the positioning signal is inaccurate due to environmental influences, it is necessary to monitor the transport vehicles according to the video monitoring equipment at each intersection to obtain the movement status of the transport vehicles. [0003] However, in bad weather, such as foggy w...
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IPC IPC(8): G06V10/60G06V10/25G06V20/54G06T3/40G06T5/00G06T7/11G06T7/13G08G1/052G08G1/056
CPCG06T7/11G06T7/13G06T3/40G08G1/056G08G1/052G06V20/54G06V10/25G06V10/60G06V2201/08G06T5/70
Inventor 徐乙馨徐致远沈昀
Owner 国能智慧科技发展(江苏)有限公司