Teams spent weeks sorting thousands of photos. Autonomous drones now spot defects in flight, cutting analysis to seconds.
One of the largest energy companies in the United States, serving over 10 million customers and maintaining grid infrastructure across vast territories.
Traditional inspections required pilots to fly drones manually, followed by weeks of human analysis to sort through thousands of photos for defects....
“At Exelon, we’re proud to support BGE’s leadership in pioneering this groundbreaking work. By combining autonomous drone technology with AI from Deloitte and NVIDIA, we’re transforming how we inspect and maintain our grid—making it faster, more accurate, and ultimately safer for our field teams and more reliable for our customers.”
Energy utility holding company for electric and gas distribution services.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Collaborated with Exelon to develop and deploy OptoAI, an AI platform for real-time asset inspection.
Related implementations across industries and use cases
Inspecting 400,000km of power lines was hazardous. Computer vision now detects faults automatically across the national grid.
LiDAR data took 18 months to process. AI now scans satellite imagery in 8 weeks, reducing annual maintenance work by 50%.
Siloed data left crews chasing storms. Now, ML flags voltage dips to guide repairs before the power fails.
Inspecting 400,000km of power lines was hazardous. Computer vision now detects faults automatically across the national grid.
LiDAR data took 18 months to process. AI now scans satellite imagery in 8 weeks, reducing annual maintenance work by 50%.
Manual call notes burdened agents, while managers struggled to track promises. Now, AI copilots automate summaries and verify commitments.
Safety data only surfaced after police-involved incidents. Now, AI dashcams alert drivers to correct risky behaviors in real time.
Data silos forced reactive repairs across three counties. Now, AI predicts failures early, cutting unplanned downtime by 40%.
Silos hid the true cost of delays. Now, AI weighs crew, cargo, and passenger factors to calculate optimal recovery plans in real time.