Automatic surface defect detection of industrial products using visual inspection has
progressively replaced manual defect detection of steel strips and become a necessary part …

Statistical texture features are essential for metal surface defect detection. However, low
contrast and cluttered backgrounds exacerbate the intrinsic blurriness and variability of …

The nondestructive testing capability of steel surface defects has a significant impact on
quality of industrial production. However, the single-stage detection network YOLOv5s …

Printed circuit board (PCB) surface defect detection is an essential part of the PCB
manufacturing process. Currently, advanced CCD or CMOS sensors can capture high …

The early detection and processing of oversized ores on the conveyor belt can effectively
prevent accidents such as material blockage, ensuring transportation efficiency and …

Due to the large randomness of tire appearance defect size and the complex and diverse
defect shapes, the existing target detection algorithm is prone to missing and misidentifying …

In a fast-paced environment, where unhealthy eating habits become a norm, monitoring
calorie consumption and maintaining a nutritious diet is vital. Engaging in physical activities …

Fast and accurate judgment of forest fire is of great significance to forest fire prevention. Most
of the existing forest smoke detection models are only applicable to the case where there is …

The accurate detection of powerlines is crucial to ensure a stable power supply, but the
detection accuracy of common models is often compromised in complex backgrounds …

abstract In this paper, a derivative-free method for solving convex constrained nonlinear
equations involving a monotone operator with a Lipschitz condition imposed on the …