Visual detection system for fuse box

Abstract

The invention discloses a visual detection system for a fuse box, and the system comprises an industrial camera installed in a camera obscura, the industrial camera triggers photographing through an infrared photoelectric switch, and a to-be-detected single board passes through the camera obscura through a transmission belt installed at the bottom of the camera obscura. During detection, the single board moves along with the conveying belt to block infrared rays emitted by the infrared photoelectric switch perpendicular to the movement direction of the single board, and the industrial camera is triggered to shoot pictures. The industrial camera sends collected pictures to the computer; visual detection software is arranged in the computer; visual detection software of the computer performspicture recognition and comparison on the shot picture and a preset template picture serving as a standard; if the comparison result conforms to the preset error range, the visual inspection of the single board is considered to be qualified, and the inspection of the next fuse box single board is carried out; and if the comparison result does not conform to the preset error range, an alarm is given out, and the content exceeding the error range is displayed on a computer display device. According to the invention, the fault part can be found in an assisting manner, and the product percent ofpass is improved.

Description

technical field [0001] The invention relates to the field of computer vision recognition, in particular to a fuse box vision detection system. Background technique [0002] Computer vision recognition is often regarded as a branch of artificial intelligence and computer science, and it is currently widely deployed and used in various industries. And these recognitions need to be in a specific environment with specified lighting, background and target pose requirements. Therefore, in practice, due to the limitations of the complexity of the detected object, external environment and cost, it is not too easy to achieve the expected detection goal. By increasing the performance of the camera, making the physical movement uniform, applying eye-catching colors or shapes to the detection target, and requiring ideal conditions in the surrounding environment, the difficulty of visual recognition can be reduced and the accuracy rate can be improved. In the process of mass repetitive...

AI Technical Summary

Problems solved by technology

In this method, only a framework is mentioned for the process of visual recognition, without more details, which is not conducive to popularization and use

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