Abstract: Defect detection is an important part of the manufacturing process of industrial products. The processing of aluminum profiles requires more accurate and robust defect detection methods.

DDA provides real-time defect detection capabilities for manufacturing quality control using computer vision and machine learning. The system runs at the edge using AWS IoT Greengrass, enabling ...

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Wood, a widely distributed renewable resource, plays a vital role in accelerating urbanisation. However, wood grain defects pose significant safety hazards. Detecting these defects is challenging due ...

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A burst of experimentation followed ChatGPT's release to the public in late 2022. Now many people are integrating the newest models and custom systems into what they do all day: their work. Chefs are ...

Abstract: This study proposes an anchor-free insulator defect detection method based on an Adaptive Defect Feature Enhancement Network (ADFE-Net) for rapid and precise defect identification. The ...