Appearance detection

The machine vision system can detect the defects, cracks, bubbles, depressions and so on on the surface of the rubber ring. Through the image processing algorithm, the system can accurately identify and mark these defects. The system can accurately identify color differences and give feedback or alerts accordingly.

The machine vision system can detect the presence of foreign objects, such as impurities or stains, on the surface of the rubber ring. The system can quickly identify and flag these foreign objects. Based on machine learning algorithms, the machine vision system can classify the detected rubber rings according to different criteria, improving product inspection and production efficiency.

Size detection

The machine vision system can efficiently and accurately detect the size of the rubber ring, improve production efficiency and product quality, and reduce human error to achieve an automated size inspection process.

The machine vision system uses a camera or sensor to capture a high-definition image of the rubber ring, ensuring a clear contour. The edge information or feature points of rubber ring are extracted by image processing technology. Using machine learning algorithm or image processing technology, the features in the rubber ring image are measured, such as diameter, circumference, thickness and other dimensional parameters. Calibrate the machine vision system to ensure the accuracy and precision of the measurement results. According to the actual demand, the corresponding precision control is carried out. The measurement results are analyzed and the dimensional data is output to the user or production line control system for further processing or recording. When the size of the rubber ring is abnormal or does not meet the specifications, an alarm is automatically issued or the corresponding processing mechanism is triggered. Record measurement data for subsequent traceability, analysis and quality management to help improve production processes and product quality.

Scope of application of machine vision system

The wide application of machine vision systems has brought efficiency improvement, quality improvement and innovative development to all walks of life, becoming an important part of today's technology field.

It can be used in medical diagnosis, surgical navigation and pathological analysis. Monitor patient physiological data and track health trends.

Retail and logistics Automate warehousing and sorting of goods. Traffic monitoring, license plate recognition and intelligent transportation systems.

Agricultural monitoring of crop growth and detection of pests and diseases. Smart farm equipment and automated farm management.

Security monitoring and identification of abnormal behavior. Access control and security authentication.

Educational simulation experiment and teaching aid. Personalized learning and education tracking.

Game entertainment, film and television production and experience activities.