Patrol and Inspection Drone

In the event of an emergency disaster such as a typhoon, if we cannot get to the destination due to a fallen trees or a landslide, it is difficult to grasp the damage of equipment. Using the developed patrol drone, we can grasp the situation around the equipment safely and quickly.

Example of fallen trees
Example of fallen trees

Features

  • With the patrol app, the drone can automatically fly while shooting the selected equipment with a camera.
  • Using image analysis, the drone can automatically land on the marker of landing point.
Example of photos taken by drone
Example of photos taken by drone

Flow of patrol

The flow of patrol is as follows. After determine the flight route and press the execute button, the operator does not need to operate the drone. Furthermore, since the location of the existing tower or electric pole has already been registered in the application, it is easy to select to flight route.

Flow of patrol

Inspection Drone for Overhead Lines

The inspection work for overhead transmission line equipment (conductors, steel towers, etc.) is dangerous and needs a lot of effort. Therefore, we have developed an inspection drone for overhead transmission equipment with automatic flight technology.

Features

  • The inspection drone can fly and take photos automatically.
  • Automatic, high quality equipment inspection and filming is now possible without the need for advanced piloting skills.
  • An algorithm of automatically generating a flight route along a sag with a safety distance secured from the conductor has been devised to constantly shoot the conductor.
  • We have developed technology that uses AI and data to detect anomalies in transmission line equipment.
Features
Features

Detection of abnormalities by AI

During the automatic inspection of conductors, the camera analyzes the captured images in real-time and automatically controls the camera's shooting angle for flight. In addition, machine learning is used to automatically detect obvious damage to conductors and insulators in real-time. This enables early detection of serious anomalies that could lead to the breakage of conductors or damage to insulators.

Detection of abnormalities by AI

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