Safety Needle Defect Detection: Improving the High False Positive Rate of Traditional Optical Inspection for Transparent or White Plastic Parts

Solomon combines machine vision and artificial intelligence to use SolVision's Segmentation technology to train AI models for the various textures and shapes of white and transparent plastic parts. This can effectively detect assembly errors of plastic parts, improve the efficiency of defect detection, and make the overall process more perfect.

Computer Vision
Software
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Seller Name
Solomon
Past project(s)
Client(s)
Country
Taiwan
Specializes in
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Safety Needle Defect Detection: Improving the High False Positive Rate of Traditional Optical Inspection for Transparent or White Plastic Parts
Description

Solomon combines machine vision and artificial intelligence to use SolVision's Segmentation technology to train AI models for the various textures and shapes of white and transparent plastic parts. This can effectively detect assembly errors of plastic parts, improve the efficiency of defect detection, and make the overall process more perfect.

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Medical Supplies
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Computer Vision
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Software
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Features
Use Cases
Seller
Seller Name
Solomon
Past project(s)
Client(s)
Country
Taiwan
Specializes in
Seller Page