By closely combining cutting-edge AI software systems with sophisticated hardware facilities, intelligent and automated product quality control is achieved
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AI visual inspection uses deep learning algorithms to accurately identify, classify and inspect medical devices and pharmaceutical products, such as medical glove defect inspection, drug inspection, blister board inspection, etc., to ensure product quality and safety.
AI visual inspection technology is widely used in the production and quality control process of magnetic materials. By closely combining cutting-edge AI software systems with sophisticated hardware facilities, an intelligent and automated product quality control process is realized, greatly improving the efficiency of magnetic material production and product quality assurance.
Visual inspection technology provides strong support for the new energy and new materials industry through high-precision and high-efficiency automated inspection methods, and promotes the high-quality development of the industry. As technology continues to advance, visual inspection technology will become more intelligent and autonomous, bringing more opportunities and challenges to the new energy and new materials industry.
Customized development is carried out according to the non-standard needs of customers, such as product characteristics, testing requirements, etc. Strong pertinence, high flexibility and high precision.
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