Abstract: Artificial images for defect detection have gained growing importance in the recently developed defect detection architectures. This systematic literature review examines the use of ...
The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.
5don MSN
Lattice enhances sensAI solution stack with edge AI performance, efficiency, and ease of use
Latest Lattice sensAI™ solution stack delivers industry-leading power efficiency, expanded AI model support, and flexible deployment tools for next-generation edge applications ‒ ...
Abstract: Efficient and accurate detection of surface defects on trains is crucial for ensuring train safety. However, the insufficient defect samples and their diverse patterns make defect detection ...
Two years after a panel flew off a 737 Max, Boeing is doing more inspections, completing work in its intended order and making other changes. Can the company keep it up? The number of 737 Max planes ...
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