A cloud computing-based detection method and system for truck occupancy business behavior
A detection method and cloud computing technology, applied in computing, computer parts, neural architecture, etc., can solve problems such as the inability to accurately detect the operation behavior of trucks occupying the road, and achieve the effect of avoiding misjudgment and improving accuracy
Active Publication Date: 2021-11-16
南通辑兴紧固件科技有限公司
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[0005] The purpose of the present invention is to provide a method and system for detecting road-occupied business behavior of trucks based on cloud computing, which is used to solve the problem that existing detection methods cannot accurately detect road-occupied business behavior of trucks
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[0038] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be introduced below in conjunction with the drawings in the embodiments of the present invention.
[0039] Embodiment of the method for detecting the road-occupied business behavior of trucks based on cloud computing
[0040] This embodiment aims to realize the accurate detection of the occupancy behavior of the cargo vehicle, such as figure 1 As shown, the cloud computing-based detection method for road-occupancy business behavior of trucks in this embodiment includes the following steps:
[0041] 1) Acquire continuous multi-frame images of the target area to be detected, and determine whether there is a cargo vehicle in the image;
[0042] In this embodiment, a camera is used to collect a video image of the target area to be detected. When the collected video image includes a veh...
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The invention relates to a method and system for detecting road-occupied business behavior of cargo vehicles based on cloud computing, and belongs to the technical field of road-occupied business behavior detection. The method includes the following steps: acquiring continuous multi-frame images of the target area to be detected, and judging whether there is a cargo vehicle in the image; if so, distinguishing the stall owner and customer corresponding to the cargo vehicle in the image; According to the completeness of the set transaction logic sequence corresponding to each customer, calculate the probability of occurrence of the transaction behavior corresponding to each customer; according to the probability of occurrence of the transaction behavior corresponding to each customer , to determine whether there is a lane-occupying operation behavior of the cargo-carrying vehicle. The present invention judges whether there is a lane-occupied business behavior of a cargo vehicle through the completeness of the set transaction logic sequence corresponding to each customer, and improves the accuracy of judging the lane-occupied business behavior of a cargo vehicle.
Description
technical field [0001] The invention relates to the technical field of lane-occupying business behavior detection, in particular to a cloud computing-based method and system for truck-hogging business behavior detection. Background technique [0002] At present, smart city projects are increasingly becoming the mainstream direction of urban construction, and smart digital urban management is an important part of smart city projects. Occupying roads is common in urban management affairs, and has multiple impacts on urban development areas such as traffic safety and city appearance. Among them, the impact of road-occupied business behavior on traffic safety is particularly prominent. Traffic congestion and even traffic accidents caused by road-occupied business behavior have seriously hindered the development of urban traffic. [0003] The existing main methods for detecting road-occupied business behaviors are: obtaining suspicious static pictures, using deep learning networ...
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IPC IPC(8): G06K9/00G06K9/20G06K9/34G06N3/04
CPCG06N3/04
Inventor 黄桂枝邹小梅
Owner 南通辑兴紧固件科技有限公司