ADAS-Linked Automotive Diagnostic Agent
Edge AI System
Overview
An edge AI project merging automotive diagnostics with ADAS systems. Captures CAN data, predicts failures, and displays insights in a web UI.
Stack Used
- Python
- Raspberry Pi
- CANBus
- OpenCV
- Flask
Problem
Modern vehicles have complex ADAS systems but lack predictive diagnostics accessible to technicians.
Approach
Built a Raspberry Pi edge device to read CANBus data, applied ML models for anomaly detection, and built a Flask-based dashboard for visualization.
Results
Enabled predictive maintenance for ADAS-equipped vehicles, improving safety and reducing downtime for fleets.