Driver Vigilance and Behaviour Monitoring with Automated Alerts using YOLO

Project Code :TEMBMA3912

Objective

The objective of this system is to monitor driver vigilance and behavior using a YOLO-based computer vision model. It aims to detect signs of drowsiness, distraction, or unsafe actions in real time. The system provides automated alerts to prevent potential accidents. Additionally, it enhances road safety by ensuring continuous driver awareness and timely intervention.

Abstract

The project titled “Driver Vigilance and Behaviour Monitoring with Automated Alerts using YOLO” aims to enhance road safety by detecting driver drowsiness and unsafe behaviors in real time. This system uses a Raspberry Pi as the central processing unit, integrated with a webcam to continuously monitor the driver’s facial expressions and activities such as drowsiness, mobile usage, and eating while driving. The YOLO (You Only Look Once) algorithm is employed for fast and accurate object detection and behavior analysis.

When abnormal conditions are detected, the system immediately triggers alert mechanisms including a buzzer and vibration motor to warn the driver. An LCD display is used to show system status and alerts. Additionally, a motor driver is used for controlling connected DC motor components if required for extended automation. This system provides a low-cost, efficient, and real-time solution to reduce accidents caused by driver inattention and fatigue.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Hardware components:

Raspberry Pi
USB Webcam
LCD Display
Buzzer
Vibration Motor
Motor Driver Module
DC Motor
Power Supply Adapter
USB Cable
Power Supply
12V Adapter
Connectors – 30

Software components:

Embedded C
Arduino IDE
Python

Learning Outcomes

Learning outcomes:
• Raspberry Pi pin diagram and architecture
• How to install Raspberry Pi OS / setup software
• Setting up and installation procedure for Raspberry Pi
• Introduction to Raspberry Pi development environment
• Basic programming in Raspberry Pi (Python / C / C++)
• Basics of Embedded Python / Raspberry Pi programming
• Basics of IoT platforms
• Working of power supply

• About Project Development Life Cycle:
• Planning and Requirement Gathering (software, tools, hardware components, etc.)
• Schematic preparation
• Code development and debugging
• Hardware development and debugging
• Development of the project and output testing

• Practical exposure to:
• Hardware and software tools
• Solution providing for real-time problems
• Working with team/individual
• Work on creative ideas

• Skills developed:
• Project development skills
• Problem analyzing skills
• Problem solving skills
• Creativity and imaginative skills
• Programming skills
• Deployment
• Testing skills
• Debugging skills
• Project presentation skills
• Thesis writing skills