New object detection algorithm for solar cleaning robots

A Chinese research team at Tarim University have developed a lightweight object detection and pose recognition solution for solar panel cleaning robots. Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel solution is based on a low power version of the You Only Look Once (YOLOv8) model for object detection and computer vision tasks. Other versions of YOLO have been investigated for solar applications, such as defect detection and panel inspection. The effective use of PV cleaning ...

Den vollständigen Artikel lesen ...