The textile and garment industry is a traditional pillar industry of my country's national economy and an important civilian production industry. It is also an industry with obvious international competitive advantages in my country. It plays an important role in prospering the market, expanding exports, absorbing employment, increasing farmers’ income, and promoting urbanization. effect. At present, most companies still rely on manual detection of button defects. Due to the influence of the external environment and labor intensity, manual detection has problems such as low efficiency, low precision, and high cost. In the current process of continuous development of science and technology, machine vision products instead of manual inspection will become a development trend.

With the development of industry and the increase of costs, many companies have improved their efficiency. In production, we often encounter product surface defects such as cracks, scratches, and discoloration, and these problems are challenging for both manual inspection and machine vision inspection. The difficulty lies in the irregular shape of such defects, low contrast between depth and light, and they are often disturbed by the natural texture or pattern on the surface of the product. Therefore, surface defect detection has very high requirements for correct lighting, camera resolution, the relative position of the inspected component and the industrial camera, and complex machine vision algorithms.

Suzhou Zhuojin Communication Co., Ltd. Solution-Button Surface Defect Detection

(1) Application brief

The material is automatically loaded to the circular rotating optical glass inspection platform through the vibrating plate, the product is calibrated through the correction device, and the optical fiber is used to trigger the industrial CCD camera to take pictures of the moving product at a high speed. Take pictures for high-speed, high-precision, and high-stability real-time detection, analysis, and calculation to determine whether the sample is qualified, then output and count the results, and automatically eliminate defective products.

(2) Testing items of the testing machine

Button size: length, height, outer diameter, etc.

Surface defects: poor plating, crushing, deformation, scratches, breakage, etc.

(3) Cases of poor button plating detection

Through the front, back, and front top hat multi-directional detection of defective button electroplating defects.