Remote AI-Driven Inspections Improves Worker Safety and Grid Reliability

Presented by

Milli Gurung Comstock, IoT Product Strategy; Shamik Mehta, Industry Solutions; Mauro Damo, Data Scientist; Hitachi Vantara

About this talk

Transmission and Distribution (T&D) asset failures cause wildfires that cost billions of dollars in damages and claim countless human and animal lives every year. One way to address and prevent risks is through routine inspections and maintenance. Conventional inspection processes require workers to climb transmission towers or use helicopters to capture photographic evidence, creating an urgent need for faster and safer methods to maintain T&D assets spanning thousands of miles. The challenge is compounded by the need to analyze the images and videos for defects offline, resulting in a slow, manual, and very expensive process. Attend this webinar to learn how Hitachi Image Based Inspections, an image analytics-based inspection software, enables utility and O&M operators to improve asset reliability, optimize operational and maintenance processes, while reducing the threat of fire and risk to the public. Attendees will also learn how the AI-based solution can: • Generate insights through image identification and cataloging, automatically and accurately • Remove human subjectivity • Assign risk scores for assets such as insulators, dampers, clamps, and more • Send real-time alerts to maintenance workers

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