Over-limit information acquisition method, device and system and over-limit detection equipment

Abstract

The invention provides an over-limit information acquisition method, device and system and over-limit detection equipment, and relates to the technical field of road vehicle detection. According to the over-limit information acquisition method provided by the embodiment of the invention, the problem that identification results cannot be associated when a plurality of independent cameras respectively identify the characteristics of the vehicle head, the vehicle tail and the vehicle body in the prior art can be solved. The shooting view angles of three cameras arranged on the over-limit detection equipment are overlapped, and the vehicle in a video stream is accurately tracked and distinguished, so that the identification results of the three cameras can be accurately associated to the samevehicle to form correct and complete vehicle data, and chaos of retained evidences cannot be caused.

Description

technical field [0001] The present application relates to the technical field of road vehicle detection, in particular, to a method, device, system and overrun detection equipment for collecting overrun information. Background technique [0002] With the continuous advancement of the cancellation of provincial toll stations on expressways across the country and the full implementation of entrance weighing inspections at expressway entrances to realize the requirements for trucks to be inspected and vehicles exceeding the limit to be prohibited from passing on the road, the Ministry of Transport has issued the "Expressway Weighing Inspection Business Specifications and Technical Requirements", requiring the expressway operation and management units of all provinces, municipalities and autonomous regions to be responsible for the deployment of non-stop weighing inspection equipment at entrances and exits to ensure stable operation of equipment and smooth network, and to gradual...

AI Technical Summary

Problems solved by technology

[0006] (1) The investment in equipment is large, the construction is complicated, and the engineering volume is large; in addition to the necessary weighing and testing equipment, each inspection lane needs to be equipped with a front camera, a rear camera, a side camera and hard disk video equipment, and the investment is relatively high. Large and occupy limited network IP resources; at the same time, each detection lane needs to be equipped with two L-shaped cantilever columns at the front and rear to install the camera, and the geographical environment of each toll station detection lane is different, the appropriate installation position of the column needs to be based on The actual environment on site is surveyed, and the construction workload is relatively large and the construction is complicated;

[0007] (2) Weighing data, front data, rear data, and side snapshot data are generated by independent devices, without any correlation. If you want to associate and match the detection data of the same vehicle, you can only rely on timing and queue logic. , Therefore, in practical applications, once the clock of a certain device is out of sync, no data is detected, or errors and abnormalities occur in the work, it will cause confusion in the subsequent data queue, and data matching will be very difficult without human intervention

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