Abstract: Steel surface defect detection plays a critical quality control role in industrial manufacturing. However, the existing methods struggle to balance accuracy and efficiency, especially in ...

Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

Sony IMX678 STARVIS™ 2 Color Sensor | Up to 120+ dB HDR Imaging | LED Flicker Mitigation | Low-Light Performance | ...

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 ...

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 ...

New issue New issue Open Open [Ray Data]Pylint detection found some Python code defects in ray data #53881 ...

This repository contains the code and resources for a PCB defect detection project. The project uses YOLO and other comparative models to detect and classify PCB defects, along with improvements to ...

Detecting sub-5nm defects creates huge challenges for chipmakers, challenges that have a direct impact on yield, reliability, and profitability. In addition to being smaller and harder to detect, ...