Using classical machine learning , deep learning techniques and traditional image information extraction technology, combined with the application scenarios of the detected targets, the advantages of various algorithms are fully utilized to improve the efficiency and accuracy of image analysis. The system is suitable for the detection of surface defects and abnormalities of various workpieces and industrial products. At present, the system has been successfully applied to rail transit, industry, medical and other fields.
1. Stable, reliable and accuracy
Using machine learning and deep learning algorithms to provide stable, reliable and accurate inspection services.
2. High precision and speed
The millisecond level respond can be applied to various application scenarios of image recognition, and can continuously improve recognition accuracy through data training.
3. Experienced in technology
Successfully landed multiple solutions for multiple industries and multiple scenarios can greatly improve productivity and production quality.
4. Good compatibility
Modular solutions and complete visual inspection solutions are available to meet different customer needs.
- Shanghai Electric Group Co., Ltd. Central Academe
Shanghai PNS registry No. 31010102007087