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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 an authentic, engineering-grade DIY project kit designed for prototyping, robotics, and academic research. Includes verified schematics, pre-tested hardware, and nationwide express shipping across Pakistan.

24-48h Dispatch Cash on Delivery 7-Day Replacement
Rs 22000.00

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

Quick Build & Interfacing Guide:

Step 1: Hardware Inspection

Unbox and verify all pre-tested sensors, microcontrollers, and wiring components included in your package.

Step 2: Chassis & Sensor Mount

Secure mechanical brackets, servos, and modules to the main frame using the provided mounting hardware.

Step 3: Pinout Wiring

Interface VCC, GND, and GPIO signal lines according to the verified schematic diagram provided with the kit.

Step 4: Code Upload & Testing

Upload the tested source code via Arduino IDE, Python, or ESP-IDF and verify live sensor readings and actuation.

Prototyping Kit Note: All DIY project kits come with complete verified code, connection diagrams, and 7-day technical replacement support 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

Community Questions & Answers

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