Abstract: At present, deep learning-based intelligent detection technologies are progressively being applied to the field of steel surface defect inspection. An efficient defect inspection algorithm, ...
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 ‒ ...
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