EnhancedDrivingAssistant

Multi-model computer vision + hardware for ultra-fast local inference and accurate driver assistance.

Problem

Driver monitoring and lane detection often depend on heavy cloud models or slow on-device pipelines.

Solution

We combined optimized CV models, Coral TPU acceleration, and careful system engineering to run multi-model inference under 1700MB RAM with sub-100ms latency on target hardware.

Technical Highlights

Frame pipeline, ensemble fusion, quantized models, Coral TPU, Jetson/Nano support, real-time telemetry

Tech Stack

Results

Latency reduced significantly in field tests. Improved detection accuracy in low-light scenarios.

Gallery