This invention describes a system that uses artificial intelligence to automatically check parts of a machine or device. It takes pictures of the machine, and a special computer program, trained with deep learning, finds specific areas of interest on those pictures. By comparing these areas to known good images, the system can determine if a part needs attention or is working correctly. The core of the claims focuses on this AI-driven identification of specific regions within the images.
Why it matters: Since 2020, deep learning models for computer vision have become significantly more powerful and accessible, making the development and deployment of such an inspection system more efficient. Advances in GPU hardware and cloud-based AI services also reduce the barrier to entry for training and inference.
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