CCD Visual Inspection System For Knit Woven Fabric Surface Detection

CCD Visual Inspection System For Knit Woven Fabric Surface Detection

Equipment features:

Inspection principle

At present, the inspection of cloth quality is repetitive work and is labor-intensive. Behind the modern assembly line, many inspection workers can often be seen to carry out this process, which not only increases the time and capital costs of the enterprise, but also increases the required quality. It is not possible to guarantee a 100% pass rate.

Using machine vision, this result can be normalized, increasing the stability of the result. In the face of home textile fabric defect detection, cord fabric defect detection, fiber cloth defect detection and other types of cloth inspection, machine vision can play a stable role.

CCD Camera

The machine vision system converts the captured target into an image signal through a machine vision product (ie, an image capture device, which is divided into two types: CMOS and CCD), and transmits it to a dedicated image processing system.

The shape information of the subject is obtained, and converted into digital signals according to the pixel distribution, brightness, color and other information. The image system performs various calculations on these signals to extract the characteristics of the target, and then controls the on-site equipment actions according to the discrimination results.

Applications

Generally, cloth inspection (automatic identification) first uses high-definition, high-speed camera lens to take standard images, then sets certain standards on this basis, then takes the detected images, and then compares the two.

But it is more complicated in the cloth quality inspection project:

1. The content of the image is not a single image, and the number, size, color, and position of impurities in each measured area are not necessarily consistent.
2. The shape of impurities is difficult to determine in advance.
3. Due to the light reflection caused by the fast movement of the cloth, there may be a lot of noise in the image.
4. On the assembly line, there is a real-time requirement for cloth inspection.

Inspection details

First of all, since each image pixel is composed of three components of RGB to represent a point in the RGB color space, and even a small noise will change the position in the color space, no matter how similar our human eyes feel, It's also not the same in color space. Based on the above reasons, it is necessary to convert RGB pixels into another color space CIELAB, the purpose is to make our human eyes feel as close as possible to the color difference in the color space.

Secondly, according to the processed image obtained above, according to the requirements, detect the impurity stains under the pure color background, and calculate the area of the stains to determine whether it is within the detection range. Therefore, the image processing software should have the functions of separating the target, detecting the target, and calculating its area.

Finally, the application program saves the returned results into the database or the location specified by the user, and controls the mechanical parts to make corresponding movements according to the results. According to the identification results, it is stored in the database for information management, and the information can be retrieved at any time in the future. The manager can know the busyness of the assembly line within a certain period of time, make arrangements for the next work, and know the quality of the cloth.

About Us

Developmenet Course

The technology center is composed of algorithm department, software department, optics department, hardware department and mechanical department. The algorithm team currently has 4 PhDs, ensuring that the AI algorithm has the ability to continuously update.

Core Strengths