GridVision AI: Autonomous Visual Inspection
- Felipe Martín
- Jan 30
- 2 min read
Updated: Jan 31
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.
Video Demo:
The Challenge Electrical distribution networks span thousands of kilometers, and traditional inspection suffers from a dual bottleneck:
The "Clipboard Patrol": Field crews driving slowly, trying to spot and manually annotate defects on paper or tablets while in motion—a dangerous and subjective process.
The Video Fatigue: Back-office teams spending endless hours reviewing recorded footage, where attention spans drop and critical faults are missed. Both methods rely on human visual attention, which is costly, slow, and prone to error.
The Solution We engineered GridVision AI to retire the manual logbook and the video review suite. This next-generation system is hardware-agnostic, designed to ingest and analyze footage from any operational perspective.
Whether deploying vehicle-mounted dashcams, aerial inspection drones, or 360° omnidirectional arrays, the system leverages Gemini 3.0 Pro's Video Understanding to interpret the context of the infrastructure in motion. It acts as a superhuman observer that covers every angle, never blinks, and never gets tired.
Key Capabilities:
Multi-Source Ingestion: Seamlessly processes video from ground fleets, UAVs (Drones), and panoramic 360° cameras.
Vegetation Risk Detection: Identifies trees and branches invading the safety corridor of medium and low voltage lines.
Structural Anomaly Detection: Automatically flags leaning poles, damaged crossarms, and loose cabling.
Geolocated Asset Auditing: Every detection is synchronized with GPS coordinates, creating a real-time "Health Map" of the distribution network.
Tech Stack:
AI Engine: Google Gemini Pro 3.0 (Multimodal Video Analysis).
Infrastructure: Google Cloud Run (Serverless Scalability).
Input Flexibility: Dashcams, Drones, 360° Cameras, Action Cams.
Impact: 100% elimination of manual visual review. We shifted maintenance from reactive to proactive by removing the cognitive load on patrol teams and reducing time-to-detection from weeks to milliseconds, regardless of the capture method.
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