Automatic Identification System Surface Quality Inspection Machine For PVC Pipe

Automatic Identification System Surface Quality Inspection Machine For PVC Pipe

PVC pipe (main component polyvinyl chloride) is one of the most common building materials in life, but there are many types of defects in the process of production and processing. According to the national standard, the appearance of PVC pipes is required to be uniform in color, smooth and flat, without obvious bumps and impurities, but relying on manual visual inspection is inefficient, ineffective, and time-consuming and labor-intensive, which requires a complete set of automated visual inspection. system to solve existing problems.

Inspection principle

The system is based on the artificial intelligence vision system platform, which can solve a large number of complex surface defects such as metal pipes, plastic water pipes, and automobile hoses. The system is equipped with high-speed vision component products to ensure high-speed and high-precision inspection requirements. It avoids the problems of slow speed, low precision, high cost, and difficult statistics of manual inspection, greatly improves the inspection efficiency, and improves the product quality and competitiveness of PVC pipe products.

The automatic detection system for surface defects of PVC pipes covers the functions of defect detection, identification and positioning, and size measurement, which can meet the different needs of the actual production of PVC pipes. And the system can be applied by one-click drag and drop corresponding modules, which can be deployed without professionals. At the same time, the detection data can be automatically saved to common format files such as txt, excel, and CSV, which is more convenient for enterprise digital management.

Equipment overview

-Online high speed detection, improve detection efficiency and accuracy, reduce human cost.

- High-pixel industrial camera accurate identification, the number of cameras is designed, accurate 0.1mm, speed can be customized according to the detection requirements.

- Compatible with multiple specifications, cost savings.

-Perform online detection and exclude for disabled fork defects:black spots, color difference, impurities, gaps, residues of material, overlaps, bubbles, air cavities, deformation, thickness, sizes, etc.

Inspection details

Detect defects such as scratches, pits, water marks, and pockmarks on the surface of the pipe: output: alarm signal, defect picture, diameter size and other information; detection type: automatic online monitoring, speed 750mm/sec.

Scratches on the surface of the pipe can be detected: detection accuracy: 0.06mm; detection rate: ≥99%;
Defect threshold: It can be judged by the value of scratch length, width and maximum value; for defects of scratch type, the alarm can be output independently.

Pipe surface wrinkles can be detected: detection accuracy: 10mm; detection rate: ≥ 95%;
Defect threshold: It can be judged by the value of wrinkle length, width, maximum value, segment length, and color difference threshold; for wrinkle type defects, the alarm can be output independently.

The pits on the surface of the pipe can be detected: pit depth ≥ 0.5mm; detection rate: ≥ 95%;
Defect threshold: The threshold can be set and judged by the diameter and number of pits; for pit type defects, the alarm can be output independently.

Our advantages

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