Description: A dual-layer intelligence system for grid resilience. Trained on the client's specific historical fault and fleet data , it uses Machine Learning Clustering to identify weather-triggered hotspots and activates a Predictive Logistic Model to simulate real-world traffic. The result: strategic crew positioning that ensures SLA compliance before outages occur. The Challenge In power distribution, uncertainty is the enemy. Operators struggle with two blind spots: kn

We replaced the fallible human eye with autonomous AI. Compatible with vehicle dashcams, aerial drones, and 360° cameras , GridVision AI processes footage from any angle to detect vegetation and structural risks in real-time. Eliminating manual data entry and visual fatigue. Link Demo: https://gridvision-ai-760819247096.us-west1.run.app/ Video Demo: The Challenge Electrical distribution networks span thousands of kilometers, and traditional inspection suffers from a dual bot