2026 — Edge AI / Safety Systems
Mindful Drive Pro
Arduino Uno Q
An edge-AI driver drowsiness detection system built with the Arduino Uno Q and Edge Impulse — running a quantized YOLO model entirely on-device for sub-100ms real-time monitoring without any cloud dependency.
C++PythonYOLOEdge ImpulseMLArduino Uno Q
Specifications
PlatformArduino Uno Q
ML FrameworkEdge Impulse
Detection ModelYOLO (quantized)
LanguagesC++, Python
StatusIn Progress
Year2026
Key Features
Real-Time Drowsiness Detection
Monitors driver eye state and head position using a camera feed, triggering alerts the moment drowsiness is detected.
Edge Impulse ML Pipeline
Model trained and deployed via Edge Impulse — optimized for the Arduino Uno Q's onboard ML accelerator.
On-Device Inference
All processing runs directly on the Arduino Uno Q with no cloud round-trip, keeping latency under 100ms.
Alert System
Buzzer and visual indicator fire immediately when a drowsiness event is confirmed, keeping the driver alert.
Status
In Progress