Machine vision inspection system is widely used in camshafts

 In the engine industry, the camshaft is a component in a piston engine. Its function is to control the opening and closing of the valve. Its quality, safety and longevity have a vital impact on engine performance. The camshaft production line is a non-enclosed space. The on-site light is affected by natural light and lighting, and the background is noisy. Based on the above particularities, a machine vision inspection system is designed that can detect surface defects in camshafts in real time during the machining process .

      The visual inspection system is built on both sides of the assembly line at the end of the production line. Specific light sources are built to remove on-site light interference. Images are collected on the surface of the cam wheel during its movement, stop, and rotation. The detection algorithm uses neighborhood weighted segmentation to detect surface defects. Perform extraction.

       The defects are marked through projection calculation, and the area is selected as the characteristic value to determine the defect reduction. Finally, the quality of the single axis is determined based on the processing results of multiple surface images.

This visual inspection system can perform real-time defect detection on the surface of each camshaft during the production process, replacing post-production sampling inspection, which greatly improves the production efficiency and factory quality of camshafts.

solution:

The upper and lower low-angle light illumination method is adopted. The strip light is illuminated vertically on the top of the camshaft, and the ring light is auxiliary light on the bottom of the camshaft. The background is set as a white board to make both sides of the camshaft clear and avoid interference from external objects on the image.

When the camshaft enters the inspection area, the rotating camshaft is photographed by an industrial camera to obtain a set of images covering the entire camshaft surface and sent to the computer for defect extraction. When there are defects such as poor grinding and blisters on the camshaft surface, the software extracts defect reduction marks, calculates the defect area through edge extraction, quantifies it according to standards, determines the camshaft surface defects, and detects camshafts with unqualified quality. .

       For the problem of surface defect detection of camshaft in engine parts, the camshaft surface defects are extracted through domain-weighted segmentation. The projection mark can accurately locate the defect location. Finally, the area is used as the characteristic value to determine the defect. The algorithm achieves good segmentation results.

       This machine vision inspection system is built on both sides of the camshaft production line. Under a specific light source, it can detect defects at a speed of 0.44s per axis. It has high accuracy and fast detection speed, and is suitable for industrial online inspection. This visual inspection system is an application of machine vision technology in the online inspection of camshafts. It can automate the camshaft surface defect detection process on-line and achieve a high level of defect identification rate and removal rate of unqualified products, thereby improving product quality. quality, the goal of avoiding actual losses.

      Chengdu Xinxiwang Automation Technology Co., Ltd. was founded in 2015. It obtained the National High-tech Enterprise Certificate in September 2018. It currently has 3 utility models, 8 software copyrights, and 5 invention patents (substantial review). The annual output value is above 100 million, established offices in Shenzhen in 2017 and Changsha in 2018. It mainly provides professional solutions for machine vision inspection , develops and provides high-precision automatic detection, measurement, identification, guidance, positioning systems, etc.