05 / Logistics
Computer Vision Defect Detection System for Power Grids & Pipelines
We turn drone and robot inspection footage of power grids and pipelines into a clear, GPS-mapped defect report within 2 hours, instead of a messy PDF that lands weeks later.
- Client
- Connect Aerospace LLP
- Stack & approach
- Infrastructure IntelligenceDrone + RobotComputer VisionThermal ImagingSaaS
The problem
Critical infrastructure is inspected on fixed cycles using helicopters and ground crews; the output is slow, costs $3,000 to $8,000 a day, and produces unstructured PDF reports days or weeks after the flight, with no GPS context or defect tracking.
Solution & architecture
A 3-layer inspection-intelligence platform: field collection (drones + ground robots with thermal/RGB/zoom), an AI detection layer (YOLOv8 with human-in-the-loop review), and a client portal with a GPS asset-health map, severity-ranked findings (P1-P4) and historical comparison. Reports in 2 hours, not 2 weeks.
Why it is built this way
Human-verified AI
Every detection reviewed before it reaches the client
Defects tracked over time
Not a one-off PDF with no history
Infrastructure-grade
Grids, solar farms, pipelines, ports
