How can big data and artificial intelligence empower the field of industrial manufacturing? Can you give me an example?

In recent years, China's economy has entered a stage of rapid development. Problems such as high factor cost, low efficiency of production line and difficult employment in China's traditional manufacturing industry need to be solved urgently, and the traditional manufacturing industry needs intelligent upgrading urgently. The rise of artificial intelligence technology makes the intelligent transformation of traditional industries possible, especially in the fields of industrial vision and industrial quality inspection. Compared with human vision, machine vision has obvious advantages, such as high detection efficiency, high speed, high precision and stronger reliability. With the continuous development of deep learning, 3D vision technology, high-precision imaging technology and machine vision interconnection technology, the performance advantages of machine vision will further increase.

In modern industrial automation production, every process of continuous mass production has a certain rate of defective products. Although in isolation, the yield is very small, but after multiplication, it becomes the bottleneck for enterprises to improve the yield, and the cost of eliminating defective products in a complete process will be much higher. Therefore, finding and eliminating defective products in time is very important for quality control and cost control, and it is also an important cornerstone for further upgrading of manufacturing industry.

Using big data, machine learning and deep learning technology, a large number of production parameters, process parameters and defect data in the production process are classified, regressed and predicted, which can help enterprises solve the problems of long programming/debugging time, high misjudgment rate and different operation results.