APEPDCL adopts AI to boost power reliability and safety

APEPDCL adopts AI to boost power reliability and safety

Visakhapatnam-based Andhra Pradesh Eastern Power Distribution Company Limited (APEPDCL) has rolled out an AI-based system to spot power outage causes. Previously, this process took a week to months. Now, it happens in just a day or two. As a result, APEPDCL is the first power utility in India to use AI this way.

Since March 2025, EPDCL’s IT wing has been developing a system that uses smartphone cameras to detect faulty poles, such as leaning ones. Then, the AI analyzes images and recommends actions. For example, it may suggest repairing or replacing the pole. Consequently, it prevents further damage.

To create the system, APEPDCL worked with four electrical engineering students from Andhra University. Additionally, Bengaluru-based startup JOHNAIC provided technical support. Still, APEPDCL owns the concept and intellectual property. Moreover, the solution is open to the public without patent restrictions.

The innovation promises safer streets, fewer outages, and improved reliability. While drones were an option, APEPDCL chose a cost-effective solution that field staff can use seamlessly. Therefore, linemen and assistant executive engineers can integrate it into daily work.

“I asked myself how AI could fit into a traditionally low-tech DISCOM. Finally, we found a solution,” said CMD of APEPDCL I. Prudhvitej to The Coastal Times on September 21.

Earlier, technical staff inspected poles manually. This required experience and sometimes climbing hills. Then, each photo had to be checked individually, which could take weeks or months.

“To simplify this, we developed the AI solution. Next, we tested it on 40,000 poles. The AI flagged 800 faulty ones with 80% accuracy, all of which were repaired. The Andhra University students were key in capturing images and analyzing data,” an official said.

Now, the system is part of regular surveys. Next, it will detect insulator faults and nearby vegetation growth. Importantly, it is open-source to help other DISCOMs. Furthermore, public participation is planned. Citizens can snap a pole, send it in, and let AI identify the problem and suggest action immediately, Mr. Prudhvitej added.

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