"The cost of quality for manufacturers accounts for 15 to 20% of sales revenues, while visual inspection is essential for quality control."
"The technology detects small variation on high resolution images in real-time with very high accuracy. Take conformity decision according to quality specifications Monitoring key data on quality: Real-time analytics on production and quality: defect rate, type, position, frequency Insights to improve production: Anomaly and drift (?) detections thanks to machine learning. Share knowledge across factories"
"Automating visual inspection: Using deep learning algorithms to automate the most complex inspections"
High resolution images
Before implementing the project: *100% manual inspection: 15 inspectors * Inspection: 20 sec per part * Manual production feedback After implementing the project, the Automotive Parts Manufacturer states the following results: * 100% automatic inspection * Inspection: less than 3 sec per part * Real time production feedback