Engineering the road intelligence layer.
A scalable, multimodal sensor fusion and intelligence pipeline built to operate at the edge and scale in the cloud.
architecture_v2.0
Vehicle Layer
RGB
CameraIMU
VibrationRTK
GPSEdge Device
AI Detection Pipeline
YOLOv8 Edge Inference
Backend Architecture
Telemetry Stream
FastAPI / WebSockets
Geospatial Data
PostGIS / Supabase
Web Platform
Risk AnalyticsMaintenance Priority
Computer Vision
YOLOv8, OpenCV
Optimized models process visual frames at the edge to detect surface degradation and geometric anomalies.
Embedded & IoT
ESP32, Vibration Sensors, Telemetry
Fuses inertial data with visual feeds to provide a multi-modal assessment of structural road integrity.
Backend Architecture
FastAPI, Node.js / Express, WebSockets
High-throughput asynchronous servers handle incoming telemetry payloads and stream real-time events.
Data Storage
PostgreSQL, Supabase, ThingSpeak
Relational mapping of geospatial entities combined with time-series datastores for historical trending.
Frontend Platform
React / Vite
A reactive spatial intelligence dashboard that translates complex datasets into interactive maps.
Infrastructure
Docker, Docker Compose
Containerized microservices ensuring portability, scale, and environment consistency.