Hubei University of Technology Researcher Reports on Findings in Robotics (Fast Rail Fastener Screw Detection for Vision-Based Fastener Screw Maintenance Robot Using Deep Learning)
Hubei University of Technology Researcher Reports on Findings in Robotics (Fast Rail Fastener Screw Detection for Vision-Based Fastener Screw Maintenance Robot Using Deep Learning)
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news reporting originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “Fastener screws are critical components of rail fasteners.” Our news editors obtained a quote from the research from Hubei University of Tec hnology: “For the fastener screw maintenance robot, an image-based fast fastener screw detection method is urgently needed. In this paper, we propose a light-we ight model named FSS-YOLO based on YOLOv5n for rail fastener screw detection. Th e C3Fast module is presented to replace the C3 module in the backbone and neck t o reduce Params and FLOPs. Then, the SIoU loss is introduced to enhance the conv ergence speed and recognition accuracy. Finally, for the enhancement of the scre w detail feature fusion, the shuffle attention (SA) is incorporated into the bot tom-up process in the neck part.”
Key words
Hubei University of Technology, Wuhan, P eople’s Republic of China, Asia, Emerging Technologies, Machine Learning, Robot, Robotics
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