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

Abstract: Steel wire rope (SWR), as critical load-bearing components in engineering, require precise and real-time nondestructive testing of surface defects to ensure industrial safety. However, in ...

Abstract: Object detection is a well-known task in the field of computer vision, especially the small target detection problem that has aroused great academic attention. In order to improve the ...

At present, surface defect equipment based on machine vision has widely replaced artificial visual inspection in various industrial fields, including 3C, automobiles, home appliances, machinery ...

This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...

This repository is related to our blog post Detect industrial defects at low latency with computer vision at the edge with Amazon SageMaker Edge in the AWS Machine Learning blog. In this workshop, we ...

AI vision technology enables machines to perceive and understand the visual world much like how humans see. A combination of computer vision and AI techniques, it can detect and recognize visual ...

A study by the Waste and Resources Action Programme found that up to 15% of knitted fabric goes to waste during production, due to defects such as snags and needle lines. This can result in ...