Samson's high precision Type-c appearance automatic inspection equipment can achieve the detection of defects in many aspects of Type-C metal shells; using deep learning AI algorithms, the software can automatically identify the type of defects, location, area size and other information automatically integrate the inspection data, determine OK, NG, and interface with the MES system to facilitate customer management and improve product quality.
Measures almost all types of materials (metals, glass, ceramics, composites, semiconductors, etc.)
Real-time image acquisition, production data screen display query output, printout, can be docked to the production management software
Repeatability can be measured and evaluated periodically by yourself and records can be kept, and inspection accuracy can be effectively maintained.
Production report output, data storage for defective product analysis, process improvement
Simple, economical and practical system structure, effectively reducing production and maintenance costs
Effective automation to improve production efficiency, reduce defective rates, reduce rework and waste
Increase labour productivity, improve core competitiveness, win a wide range of customers and obtain orders
Substantial savings in labour and safety costs by replacing manual labour
Improve product quality while freeing workers from tedious labour
Automated, efficient and accurate, low misjudgment, multi-measurement integration, easy to operate, digital
Learn about the application ofHigh precision Type-C appearance defect detectionin production with a one-minute video
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