The disposal of recyclable waste in China primarily relies on manual sorting, which is
inefficient, suffers from harsh working environment and high cost. In this study, an intelligent …

With the popularization of environmental awareness, how to correctly and efficiently classify
the increasing domestic waste is attracting attention. In this study, the recently released …

Supervising the process of garbage collection and transportation is a very crucial task with
significance implication to the reusing and the recycle of the garbage. Previous works mainly …

The importance of recycling to the environment and economy is well known. The existing
manual labor and traditional industrial sorting technology have low efficiency, poor …

In order to solve the problem of low detection accuracy caused by dense placement of PCB
industrial equipment and occlusion overlap in industrial AR application system, an industrial …

Due to the workforce shortage caused by the declining birth rate and aging population,
robotics is one of the solutions to replace humans and overcome this urgent problem. This …

When recognizing underwater images, problems, including poor image quality and
complicated backdrops, are significant. The main problem of underwater images is the …

Aiming at the characteristics of high detection accuracy and fast detection speed in the task
of medical waste detection, this paper proposes an improved YOLOv5-s object detection …

Vehicle detection is one of the key techniques of intelligent transportation system with high
requirements for accuracy and real-time. However, the existing algorithms suffer from 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 …