深層学習を用いた架空送電鉄塔工事支援ロボットの安全監視システムの開発

抄録

During infrastructure work on overhead power transmission towers, workers at heights climb the towers to perform their work. Currently, safety monitoring of these workers is performed by workers below the towers, but accidents such as falls, and electric shocks have occurred. Therefore, we will develop a safety monitoring robot that ascends and descends overhead power transmission towers and will build a safety monitoring system that uses deep learning to detect unsafe behavior by workers working at heights and issue warnings from the images captured by the camera mounted on the robot.This system reduces the burden on workers and prevents accidents.