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Pin Bolt State Identification Using Cascaded Object Detection Networks
2022
Frontiers in Energy Research
Unmanned aerial vehicle-based transmission line inspections produce a large number of photos; significant manpower and time are required to inspect the abnormalities and faults in such photos. As such, there has been increasing interest in the use of computer vision algorithms to automate the detection of defects in these photos. One of the most challenging problems in this field is the identification of defects in small pin bolts. In this paper, we propose a pin state identification framework
doi:10.3389/fenrg.2022.813945
fatcat:vyfaw6o3irexbazi4jea5saw2q