Application Prospect And Development Of AI Machine Vision Inspection Technology

Application Prospect And Development Of AI Machine Vision Inspection Technology

Company profile

KEYETECH has always been committed to the application of artificial intelligence in the field of vision technology, replacing human eyes and brain decision with machine vision and AI reasoning calculations, and integrating the quality detection and sorting to industrial products in traditional manufacturing to make the production more digitization , Intelligence, visualization, and persistence. Also greatly improves the efficiency and accuracy of industrial detection, and enhances the intelligent level of the manufacturing industry.

Inspection principle

With the development of related technologies such as computers and digital image processing, the ability of computers to analyze and process images has made great progress. When visual technology is combined with artificial intelligence, a large number of cutting-edge application fields have emerged. In the field of automated inspection, by introducing visual analysis technology to process product images in real time to realize inspection and control of the production process, this technology is called machine vision inspection.

Traditional manual visual inspection and manual measurement methods are not efficient, and the test results are easily affected by subjective factors such as experience and emotion, and long-term, high-intensity repetitive labor is not conducive to people's physical and mental health. Machine vision inspection does not have the above disadvantages, can quickly complete the inspection task, meet the requirements of mass production and continuous production, and is superior in the accuracy and stability of the inspection results.

Significance of machine vision

Machine vision detection technology is an intelligent measurement and control technology that uses machine vision to replace human eyes and hands for detection, measurement, analysis, judgment and decision-making control. Compared with other detection technologies, its advantages mainly include: high degree of intelligence, comprehensive information collection , High detection rate, high precision and so on.

Our vision

The machine vision industry has developed rapidly in recent years, but it is still lacking in independent research and development, and the product quality and technical level are generally low. Many domestic manufacturers mainly act as agents of foreign vision products, or only do secondary development, lacking mature machine vision systems and components.

The main reason lies in the backwardness of theoretical research, especially the level of core image processing algorithms is far behind that of foreign countries. Buying foreign testing equipment is not only expensive, difficult to maintain, but also difficult to obtain the latest technology.

Advantages of ai algorithm

• Accuracy of results: Compared with traditional vision algorithms, the stability of deep learning algorithms is greatly improved, and it can adapt to general disturbances in the environment and background. At the same time, the accuracy of the algorithm is also higher than that of traditional vision algorithms;
• Algorithm versatility: For different defects, only a small number of defect samples need to be collected. After sufficient training, different defect samples can be automatically identified. The algorithm adopted is a unified algorithm framework;
• Development timeliness: Since there is no need to develop algorithms for different defects, the entire development cycle is greatly shortened, and general visual defect projects only need 2-3 hours to go online for testing;
• Environmental reliability: Due to the guarantee of GPU computing power, the entire system can work in a high-temperature environment for a long time with sufficient computing power margin.