CHAUKAS
Always on Always watching
The problem CHAUKAS solves
The Problem It Solves
Road accidents caused by driver fatigue remain a major safety risk for both individuals and fleet-managed vehicles. Existing solutions are either reactive, hardware-dependent, or limited to high-end vehicles, offering no real-time alerts, location context, or accountability.
CHAUKAS makes driving safer and monitoring easier by enabling proactive, real-time safety intelligence using commonly available devices.
What People Can Use It For
Detect driver fatigue risk before accidents occur
Receive instant alerts with live location during critical situations
Enable faster emergency response for individuals and fleet operators
Maintain tamper-proof safety logs for audits and compliance
How It Improves Safety & Efficiency
Eliminates dependence on expensive in-vehicle hardware
Works for both individual drivers and companies
Provides real-time awareness instead of post-incident analysis
Ensures trust and accountability through blockchain-based event logging
Supports data-driven decisions for improving driver behavior and road safety
CHAUKAS transforms driver monitoring from a reactive system into a proactive safety platform.
Challenges I ran into
Challenges I Ran Into
Real-Time Detection vs Performance
Running continuous computer vision inference on live video caused performance drops and latency. This was addressed by optimizing frame sampling, reducing unnecessary computations, and balancing accuracy with real-time responsiveness.
Reliable Alert Triggering
Avoiding false positives while ensuring timely alerts was challenging. We implemented threshold-based validation and short temporal checks to ensure alerts are triggered only when consistent fatigue indicators are detected.
Accurate Location During Alerts
Synchronizing real-time drowsiness events with precise location data required careful API handling. Google Maps APIs were integrated to reliably capture and attach accurate location data at the exact moment an alert is generated.
Blockchain Integration Without Delay
Logging safety events on blockchain introduced latency concerns. To resolve this, blockchain writes were handled asynchronously so real-time alerts were not delayed while still maintaining immutable records.
Deployment Constraints
Camera access and blockchain node dependencies made full backend cloud deployment impractical. This was handled by deploying the frontend publicly and validating backend functionality through recorded end-to-end demos.
Each challenge helped refine the system into a more stable, scalable, and production-ready solution.