More and more products, it is almost impossible to achieve complete and accurate quality judgment only by manual work. The visual inspection system can detect tiny scratches and pits on the surface of products, so as to avoid major accidents caused by missed inspection. A small defect will not only affect the production efficiency and profit margin of the whole manufacturer, but more importantly, these unqualified products may bring safety risks to automobile users if they are not careful to enter the market!
Under the background of AI industrial quality inspection enabling intelligent manufacturing, visual inspection system has a bright future. Visual inspection of tire surface can not only make up for the environment that can not be detected by artificial vision, such as dangerous working environment, high temperature and low working environment, but also more comprehensively detect the quality problems of products and improve the yield of products.
At present, there are about 600 tire manufacturers in China, producing nearly 800 million tires each year, accounting for one third of the total annual tire output in the world. On this scale, it is a great challenge to ensure the consistency of product quality.
From the overall situation of the tire industry, at present, most companies rely on manual inspection. However, this method is not only costly but also unreliable. Specifically, it takes three months to train an inspector, and inspection takes 80% of their time. Why is tire testing so complex and difficult that trained inspectors cannot achieve higher accuracy?
In the process of tire production, there are various defects in the character and color mark on the tire surface, such as position offset, unclear identification, pit, crack, etc. In addition, the characters on the tires are similar to the background color.
Traditional manual inspection methods have individual differences in defect identification, and there are some factors such as inspector's eyesight fatigue, so many small defects of products can not be effectively identified. The low accuracy of manual inspection will increase the expensive rework cost, limit the expansion of production, and even cause recall problems, which will affect the company's reputation.
Aiming at the tire industry, the intelligent defect visual inspection system can help tire manufacturers understand every tiny defect effectively. The factory produces tens of thousands of tires every day, and the inspection workload is huge. Now using "Ai" to replace the traditional manual quality inspection method can not only timely find unqualified products, but also fundamentally solve the tire defects before they become a bigger problem.
The value of AI itself to the whole society can replace a lot of repetitive visual inspection. There are still many problems in the industrial quality inspection industry that have not been solved. There is an opportunity to solve them through the progress of new machine vision detection system technology. With its professional knowledge in the AI field, it has brought a highly accurate and highly stable intelligent defect detection system, and solved the continuous product defect challenges faced by tire manufacturers through computer vision.