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Automatic Detection of Broken Insulator Service for power line inspections [I-NERGY]

The project SuperPower 2.0 developed thanks to I-NERGY open calls has developed an AI tool for automatic detection of broken insulators using a YOLO architecture.

The end-goal of the developed system is to be able to provide end clients (power line owners) with the best inspection possible of the infrastructure so they can detect defects as early as possible to perform maintenance before the defect becomes a real safety concern. This AI asset is one of the parts of the complete data value chain in the inspection process
of the powerlines.

This tool has been developed by ATLAS company and offers the opportunity to automatically detects the defects in the RGB images captured during the inspection process of a powerline, speeding and improving the defect detection process.