🏂How AI helps to increase production quality +25% up: Fujitsu experience
Japanese tech giant has developed an AI system highlights abnormalities in the appearance of products to help detect manufacturing issues earlier before materials are wasted.
ML-model trained on simulated images of products with abnormalities is able to detect different issues. For example frayed threads or defective wiring patterns on multicolor carpets or electronics parts with different wiring shapes. The ML-algorithm gained high quality: AUROC score of defects finding is more than 98%. The technology was tested at Fujitsu Plant in Nagano, which manufactures electronic equipment. The results showed a 25% reduction in the man-hours for inspecting printed circuit boards.
https://artificialintelligence-news.com/2021/03/29/fujitsu-develops-ai-product-abnormalities-manufacturing/