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SKU: AI-5

AI Road Safety & Driver Drowsiness Detection System

Computer vision road safety AI monitoring driver fatigue (Eye Aspect Ratio / Yawning) and external road hazards with audible real-time alarms.

Quick Summary & Specs

AI Road Safety & Driver Drowsiness Detection System is a complete, ready-to-deploy software & FYP codebase designed for university final year projects, academic research, and full-stack development. Includes complete source code, database schema, setup documentation, and technical support across Pakistan.

24-48h Dispatch Cash on Delivery 7-Day Support & Warranty
Rs 31000.00

500 In Stock
Tested & Quality Guaranteed 100% Real-Time Performance Tested. Instant Download.
Fast Local & Nationwide Shipping Same-Day Dispatch in Lahore | 2-3 Days COD to Karachi, Islamabad & All Pakistan.

AI Intelligent Road Safety & Driver Monitoring System

Designed to prevent highway accidents caused by driver exhaustion, this project combines facial landmark geometry (Eye Aspect Ratio - EAR, Mouth Aspect Ratio - MAR) with a YOLO-based forward collision warning system. Operates at 30+ FPS on edge hardware to sound instant acoustic warning alarms upon micro-sleep detection.

🧠 Key Modules:

- Drowsiness & Fatigue: 68 Facial Landmarks (Dlib/MediaPipe) calculating PERCLOS and continuous blink duration
- Distraction Detection: Head pose estimation (Pitch, Yaw, Roll) detecting phone usage or gaze deviation
- Forward Hazard Alert: YOLO object detector identifying vehicles, pedestrians, and lane drift

What's Included in the Package:

  • Full Python & OpenCV Source Code
  • Facial Landmark Detection Models (68-point Dlib / MediaPipe)
  • Real-time Audible Siren & Voice Alert System
  • GUI Dashboard for Driver Fatigue Monitoring
  • Complete IEEE Final Year Project (FYP) Documentation
  • Viva Defense Presentation (PPT) & Flowcharts
  • Full Technical Setup Assistance

Software Setup & Deployment Guide:

Step 1: Extract Source Code & Docs

Download and extract the complete source code package, database schema, and architecture documentation provided with your order.

Step 2: Install Project Dependencies

Open the project directory in VS Code or your preferred IDE and install the required runtime libraries and packages listed in the setup guide.

Step 3: Configure Environment & DB

Set up your environment configuration variables and run the included database migrations or seed scripts.

Step 4: Launch & Verify Modules

Start the local development server or build executable and test all user, admin, and core functional workflows.

Software FYP Note: Includes 100% unencrypted source code, database files, deployment documentation, and 7-day setup assistance across Pakistan.
Custom Prototyping & FYP Enclosures

Need a Custom 3D Printed Casing or Multilayer PCB?

Get custom snap-fit enclosures and robotics parts printed via our custom 3D printing service in Lahore & Pakistan, or order industrial double-sided circuit boards through our custom PCB fabrication service with nationwide delivery.

Key Features

Broken Traffic Light Detection Detects malfunctioning or non-operational traffic signals, preventing accidents and congestion.
Pothole Detection Locates potholes and road damage for timely maintenance and repair.
TensorFlow Model Integration Uses deep learning with TensorFlow for accurate classification and detection.
Trash Detection Identifies garbage or litter on roads that may disrupt traffic or cause hygiene concerns.

Specifications

Backend Django (Python)
Database SQL LITE
Deployment Dockerized container (manual installation requires extra setup cost of 5000)
Frontend HTML, CSS, JavaScript, Bootstrap
Note If You Need AnyKind of Code Snippet Related To This Project We Will Provide
Ram/Processor 8gb/3.5Ghz

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