AIDAS

AI enabled Driver's Assistance System - Revolutionizing Road Safety with Artificial Intelligence

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About AIDAS

AIDAS is a dashboard-mounted, standalone device that can be fitted on all vehicles regardless of age or model. Our system leverages the power of artificial intelligence and deep learning techniques to analyze drivers' facial expressions in real-time, determining if the driver is fit to continue their journey.


When drowsiness or fatigue is detected, instant alerts and countermeasures are deployed to prevent accidents and save lives. This affordable yet practical solution addresses a critical real-world issue, making it incredibly feasible for industry-wide adoption.


Mission: To reduce fatigue-related accidents and make roads safer for everyone through accessible AI innovation.


Vision: 97.9% of heavy commercial vehicles do not have any form of ADAS system, AIDAS aims to fill in the gap, ensuring safety for all.

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How It Works

1

Capture Live Feed

Computer vision system captures continuous video feed of the driver using a high-quality dashboard-mounted camera.

2

AI Processing

Video feed is processed in real-time using our optimized AI model for lightning-fast inference.

3

Drowsiness Detection

Advanced algorithms analyze facial expressions including eye closure, head position, and yawning frequency.

4

Instant Alerts

Immediate alerts via buzzer and LED; fleet managers can monitor via online dashboard with GPS tracking.

Key Features

🚗 Universal Compatibility

Standalone unit that can be retrofitted on old buses, trucks, and cars. Works with any vehicle regardless of age or model.

💰 Affordable Innovation

Practical and cost-effective solution to a critical real-world issue, making advanced safety accessible to all.

📊 Fleet Management

Online dashboard for real-time monitoring of driver status, location, and alert history across entire fleets.

🌓 Day & Night Operation

Achieves 96.5% accuracy in both daytime and nighttime conditions, ensuring reliable performance 24/7.

🔄 Over-the-Air Updates

Future-proof design with OTA updates for enhanced features, improved accuracy, and bug fixes without physical intervention.

⚡ Real-Time Response

Instantaneous detection and alert system with multi-layered warnings (audio, visual, and cloud notifications).

Fleet Management System

Fleet Dashboard

📡 Real-Time Monitoring

Live dashboard showing all active devices, vehicle locations, and driver status across your entire fleet. Track GPS coordinates, speed, and alert status in real-time.

Telegram Alerts

💬 Telegram Integration

Instant push notifications via Telegram app. Fleet managers receive immediate alerts with vehicle details, location, and drowsiness severity directly on their mobile devices.

Technical Specifications

9,000+
Training Samples
96.5%
Detection Accuracy
3
Layers Alert System
6
Detection Classes
< 1s
Alert Response Time
24/7
Operation

Detection Classes

👁️ Eyes Open
😴 Eyes Closed
🧍 Head Straight
😞 Head Dropped
😮 Yawn
😊 No Yawn

Meet Our Team

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Shane Lim

Project Manager & System Design

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Jimm Beh

System Achitecture & Web Dashboard Alert System

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Jazlynn Leong

AI Model Development & Integration

Sustainable Development Goals

🌍
SDG 3

Good Health & Well-being

Reduce fatigue-related accidents and improve road safety, preventing injuries and saving lives through early drowsiness detection.

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SDG 9

Industry, Innovation & Infrastructure

Affordable AI innovation that creates resilient infrastructure and promotes inclusive industrialization by making advanced safety tech accessible.

🏙️
SDG 11

Sustainable Cities & Communities

Make roads safer for everyone by reducing accidents, contributing to sustainable urban development and community safety.

Future Recommendations

🔮 Next Steps

  • ✓ Integration into existing ADAS platforms for enhanced functionality
  • ✓ Expanded dataset for even higher accuracy and robustness
  • ✓ Enhanced low-light performance via IR camera technology

Get In Touch

For inquiries about AIDAS or collaboration opportunities, please contact us at:

Email: shanelim0706@gmail.com