Construction and demolition waste accounts for a considerable part of the total waste flow of
the city. The most common way to recycle it is to make it into recycled aggregate. In the …

An object detection method based on an improved YOLOv5 model was proposed to
enhance the accuracy of sorting construction waste. A construction waste image sample set …

At present, throwing objects from car windows is increasingly becoming a major illegal
conduct that pollutes the urban environment and affects the city's image. Apart that, the …

Aiming at the problem that the waste wood, steel chisel, plastic pipe and other sundries on
the ore conveyor belt will cause serious damage to the subsequent mineral processing …

Hazardous material vehicles are a non-negligible mobile source of danger in transport and
pose a significant safety risk. At present, the current detection technology is well developed …

Wooden boards are widely used as raw materials for furniture. Detecting defects on the
wooden is significant to improve the quality of products. In this paper, we propose an …

A thorough analysis of the framework structure of the YOLO algorithm is conducted, and
based on the YOLOv5 algorithm, rapid detection and classification of extracted features are …

In order to intelligently monitor the intrusion of personnel entering dangerous areas and the
wearing of safety helmets in the fully mechanized mining face of underground coal mines …

Automatic detection and localization of workers and machinery on construction sites through
surveillance video is important to supervise on-site safety and construction process, which …

Automatic bridge surface defect detection is of wide concern; it can save human resources
and improve work efficiency. The object detection algorithm, especially the You Only Look …