// overview
Overview
The platform runs as a three-layer system. A field-collection layer sends drones and ground robots — fitted with thermal, RGB and zoom sensors — across the site to capture every asset in a single sweep. An AI intelligence layer runs YOLOv8 defect detection over the footage, with a human analyst validating every flagged finding before it ships. A client decision layer then surfaces everything through a live web portal: a GPS-mapped asset health view, severity-ranked findings, historical comparison across inspection cycles, and maintenance tracking. The result is a full inspection report delivered within two hours, against the five to ten business days a traditional manual inspection cycle typically takes.
// specs
Specifications
// features
Features
Drone & Ground-Robot Data Collection
Multi-sensor drones and ground robots sweep every asset in a single pass, capturing thermal, RGB and zoom imagery without shutting down operations.
YOLOv8 Defect Detection
Every frame runs through a YOLOv8 model trained to catch structural defects, corrosion and thermal anomalies at inspection speed.
Severity Classification (P1–P4)
Detected issues are graded into priority tiers, so the client’s team sees what needs attention first instead of scanning a flat list.
Human-in-the-Loop Validation
A trained analyst reviews every flagged finding before it reaches the portal, keeping false positives out of the final report.
GPS Asset Health Map
Findings surface directly on a georeferenced map of the site, so location context reaches the client without cross-referencing spreadsheets.
Historical Comparison & Maintenance Tracking
Every inspection cycle is stored, letting the portal surface degradation trends and maintenance history side by side.
Two-Hour Turnaround
Reports reach the client’s portal in under two hours, against the five to ten business days typical of a manual inspection cycle.
// architecture
Architecture
Inspection Flow
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