Author(s)

Chao Xiang, Chaoying Zhang, Minglan Su, Weiye Meng and Jianxiu Wang

Corresponding Author

Chao Xiang

ABSTRACT

In order to determine the appropriate method and improve the accuracy of intelligent product quality detection, the paper introduces multiple algorithms to achieve intelligent detection by using deep learning. Combined with specific industrial scenarios, product quality intelligent detection solutions mainly include data acquisition, data modeling and product quality intelligent recognition. Compared with the traditional methods, the product quality intelligent detection technology with deep learning has higher detection precision, stronger generalization ability and shorter development cycle. The combination of intelligent detection algorithm and industry manufacturing is not only conducive to the full automation of the industrial line, but also to further accelerate the industrial intelligent upgrade.

KEYWORDS

Industrial Intelligence, Deep Learning, Visual Image Recognition Algorithm, Intelligent Detection