Auto nut appearance detection solution

Auto nut appearance test equipment

Auto nut appearance testing equipment features:

1. Detection efficiency up to 300-1200 PCS/min;

2. The detection accuracy is ±0.02mm;

3. The detection accuracy can reach 99.9%;

4. Automatic feeding and unloading without manual operation.

In the era of Industry 4.0, the production of parts for the market has become more and more intensive, with increasing personnel costs, low labor efficiency and stability, and a high proportion of false and missed inspections.

In the current market, a detection method based on machine vision is introduced. The detection principle is taken by CCD camera and analyzed by software. This method is efficient, high-speed and non-contact detection.

Auto nut appearance inspection

For example, nuts are very strict about quality, and nuts are often used in large quantities and can often be mass-produced. At this point, the appearance inspection cannot be completely carried out manually, so only optical image inspection equipment can be used for quality inspection.

The implementation process is as follows:

Image acquisition → image preprocessing → contour matching → position correction → thread detection → data judgment → numerical display.

In visual inspection, the processing process usually includes image input, image positioning, detection tools and output results. In this case, the tools used for image positioning are contour matching and position correction, while the detection tool is thread detection and the result is the number of turns of thread.

In the application process, it is necessary to flexibly use a combination of tools to achieve integration and practice, and achieve perfection.

Features of appearance detection equipment for automobile screws and nuts:

1. Detection efficiency up to 300-1200 PCS/min;

2. The detection accuracy is ±0.02mm;

3. The detection accuracy can reach 99.9%;

4. Automatic feeding and unloading without manual operation.

Appearance testing equipment is a device that is specially designed to test the appearance of products. For example, product size, blemish, defect, scratch, burr, stain, deformation, etc.

In today's industrial manufacturing, due to the limitations of science and technology, the main method for detecting defects on the surface of products is manual detection. This method is not only slow and inefficient due to artificial limitations and backward technology, but also easy to make mistakes in the process, resulting in unqualified test results.

With the development of computer technology, surface defect detection technology based on machine vision technology has appeared. The emergence of this technology greatly improves the efficiency of production operation, avoids the influence of operating conditions, subjective judgment and other factors on the accuracy of test results, and can detect surface defects better and more accurately and identify product surface defects faster.

The application of machine vision technology is more to improve production efficiency and reduce labor costs. As a result, some artificial links in industrial production and management are gradually being replaced by robots.