Stanley Black and Decker: Edge Streaming Deep Learning for Scrap Reduction

Stanley Black & Decker is the world’s largest tools and storage company and the world’s second-largest commercial electronic security company. Stanley Black & Decker intends to be not just a leader, but to embrace technological change to become a disruptive force among global diversified industrials. They are pursuing this goal by applying advanced technologies from across the spectrum to their products, processes and business models.

One such advanced technology Stanley Black & Decker has invested in is a vision-based, real-time defect prevention solution. Working with FogHorn, a leading developer of edge intelligence software, the two companies set out to reduce scrap rates of measuring tapes at the company’s New Britain plant. One of the opportunities is to reduce the scrap rate. The existing system produces a large amount of false positive defect notifications and is subsequently ignored by operators due to its poor success rate.

Speakers: Dr. Kshitij Judah and Yugal Sachdev, Foghron Systems