Company News
Deep Learning Enables Machine Vision, Samson Opens New Chapter of Industrial AI Artificial Intelligence Inspection
Deep learning is a field of machine learning that enables computers to learn themselves online through architecture. The deep learning process learns new things independently, and by comparing the sample image with all other image data features to discriminate, it is possible to derive the properties of a certain class; deep learning techniques learn certain features of defects independently, precisely defining the corresponding problematic defects. Thus, different types of defects can be accurately detected. This learning process now takes only a few hours. The time required to learn samples is minimised and the recognition accuracy is far higher than for defects set manually by programming.
Samson not only has cutting-edge light application detection technology, but also has a strong solution team, which can provide corresponding algorithms and hardware solutions according to different projects in different fields of customers, so as to more flexibly and practically solve the fundamental needs of customers. Samson Technology starts from quality inspection, fully grasps the core needs of customers in the field of industrial visual appearance defect detection, starts from the pain points of the industry to develop products that can best solve the pain points of the industry, and continuously empowers the industrial field with advanced light application detection technology. At present, it is not only applied in 3C mobile phone industry, new energy lithium battery industry, automotive industry, semiconductor industry and other fields, but also successfully developed the related business in medical and glass industry with the strong attack ability of its sales team.
Based on deep learning technology, Samson's intelligent inspection equipment brings value to user companies in terms of cost reduction, fine inspection, real-time monitoring and yield improvement, which can solve customers' problems such as difficulty in recruiting workers and difficulty in training skilled ones, helping companies to reduce costs and increase efficiency; assisting companies to improve product quality and manufacturing processes, and helping industries to upgrade intelligently.