Automatic optical identification system for vehicle profile

Abstract

An automatic optical identification system for a vehicle profile comprises an identification room, lanes, a driving unit, a wheel axle identification unit and optical identification units. The lanes are arranged at two ends of the identification room. The driving unit is arranged in the identification room. The upper end face of an identification table is provided with a wagon balance. The axle recognition unit comprises a C-shaped frame, whereina plurality of laser axle identifiers arranged on one side face of the C-shaped frame. The optical identification units are arranged on the two sides of the driving unit, one end of an output shaft of the third linear mechanism is provided with an optical mechanism, and one end of an output shaft of the fourth linear mechanism is also provided with an optical mechanism.The optical mechanism comprises a rotating mechanism which is vertically arranged; two second optical correlation assemblies on one side of a right-angle plate and two second optical correlation assemblies on the other side of the right-angle plate have a preset height difference so that light paths on the two sides can be staggered. According to the invention, automatic and accurate detection is realized, joint cheating of detection personnel and drivers is avoided, overload hidden dangers are avoided, the influence of weather on detection is reduced, the universality of equipment is improved, and traceability of related records is realized.

Description

technical field [0001] The invention relates to the field of vehicle detection, in particular to an automatic optical recognition system for vehicle outlines. Background technique [0002] In recent years, with the expansion of the road transportation market, highways, national highways, provincial highways and other roads, as well as industrial parks, internal roads and entrances and exits of overruns and overloading have been repeatedly banned. It is backward and consumes a lot of manpower and material resources, and there are many problems in the current detection. [0003] When inspecting the length and width of different models, there are different error standards in various regions, allowing vehicles to exceed the standard limit length and width within 1% to 3%. However, the regulations that allow errors make the inspectors and drivers Sometimes there is a case of joint cheating, since the error part is usually measured manually. [0004] When a vehicle enters the de...

AI Technical Summary

Problems solved by technology

[0006] Each axle of a truck may have single tires, twin tires, etc. The types of axles and wheels are different, and the allowable load is also different. The current axle identification equipment can only identify the number of axles, but not the number of tires on each axle.

[0007] The existing detection environment is open detection. When the vehicle is detected, it is easy to be affected by weather such as rain, snow, fog, etc., which greatly reduces the accuracy.

[0008] Different detection occasions have different requirements for the height of the vehicle. However, the existing detection equipment usually uses a fixed height limit pole to limit the height, which is not universal.

[0009] When the visibility is low at night, the driver is not easy to drive, and may drive into the detection system, causing safety hazards and economic losses

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