Energy & Utilities|Operations|Increase Efficiency

ExelonGrid asset inspection

Teams spent weeks sorting thousands of photos. Autonomous drones now spot defects in flight, cutting analysis to seconds.

Sep 25, 2025|4 months ago

Key results

Inspection Time
30 secs
vs 1 hour
Efficiency Increase
>100x

The company

Energy utility holding company for electric and gas distribution services.

IndustryEnergy & Utilities
LocationChicago, IL, USA
Employees10K-50K
Founded2000

Result highlights

  • Drone inspection time cut from 1 hour to 30 secs
  • >100x efficiency increase for asset inspection
  • Defect sorting time cut from weeks to seconds

The story

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. This disconnected workflow delayed critical repairs and exposed field workers to unnecessary safety risks.

The utility deployed autonomous drones equipped with NVIDIA Jetson modules to process visual data locally at the edge rather than in the cloud. Onboard AI models identify assets and defects in real time while automatically correcting GIS location data during flight. Field teams receive prioritized inspection reports immediately on tablets, enabling instant maintenance decisions instead of waiting weeks for manual review.

Quotes

Implementation partner

D

Deloitte

deloitte.com

Collaborated with Exelon to develop and deploy OptoAI, an AI platform for real-time asset inspection.

IndustryTechnology
LocationNew York, NY, USA
Employees100K+
Founded1845

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