Industrial analyzers combine machine vision with deep learning to improve recovery and reduce waste across veneer, plywood ...

Artificial intelligence (AI) is able to detect foreign materials and other defects in food products faster and with more ...

Most data teams discover quality problems the same way: a dashboard looks wrong, a stakeholder files a ticket, and an engineer traces the damage backward through the pipeline. By then, the bad data ...

Typical FFF print errors that can be detected by AI [Source: OpenAlex] A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds. In metal ...

Danny Deep, General Dynamics‘ executive vice president of global operations, has been promoted to president of the Reston-based Fortune 100 government contractor, the company announced Friday. Deep ...

Abstract: In this study, we introduce PercepWeldNet, a deep architecture designed for visual perception in welding defect detection, addressing the challenge of identifying semantically significant ...

Abstract: As electronic products continue to evolve in complexity, maintaining stringent quality standards during manufacturing presents mounting challenges. Conventional defect detection approaches, ...