首页|Findings from China University of Mining and Technology Reveals New Findings on Robotics (Research On Lightweight Yolo Coal Gangue Detection Algorithm Based On Resnet18 Backbone Feature Network)
Findings from China University of Mining and Technology Reveals New Findings on Robotics (Research On Lightweight Yolo Coal Gangue Detection Algorithm Based On Resnet18 Backbone Feature Network)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Robotics. According to news reporting originating in Beijing,People’s Republic of China, by NewsRx journalists, research stated, “Nowadays coal gangue presortingis still mostly conducted manually, with high labor intensity, low sorting efficiency, and potential safetyhazards. A coal gangue sorting robot that is an effective device to complete the coal gangue presortinginstead of the worker, for which the coal gangue intelligent detection is one of its key technologies.”
BeijingPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningRobotRoboticsChina University of Mining and Technology
NETL
NSTL
