Real-Time Safety Helmet Detection on Construction Sites Using YOLO Models and Raspberry Pi
Objective
The objective is to create a real-time vision-based system using YOLO and Raspberry Pi to detect helmet usage on construction sites, improving workplace safety and preventing accidents.
Abstract
This project presents a real-time safety helmet detection system designed for construction sites, utilizing YOLO (You Only Look Once) deep learning models deployed on a Raspberry Pi platform. The system integrates a USB webcam for live video capture and processes the footage to identify whether workers are wearing safety helmets, enhancing onsite safety compliance. Additional components, including a DHT11 sensor for environmental monitoring, an LCD for status display, a buzzer for immediate alerts, and a GSM module for remote notifications, provide a comprehensive safety management solution. Powered by a dedicated power supply and adapter, this compact, cost-effective setup aims to improve workplace safety by enabling real-time detection and instant alerting to reduce accidents caused by helmet non-compliance.
Keywords: Safety helmet detection, Construction site safety, YOLO model, Raspberry Pi ,Computer vision, USB webcam, DHT11 sensor, LCD display
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 requirements:
- Raspberry pi
- Memory card
- Usb web camera
- Dht11
- Lcd
- Gsm
- Power supply
Software requirements:
- Raspbean os
- Python idle
Learning Outcomes
Understanding Raspberry pi pin diagram and architecture
Installing and configuring python IDE for Raspberry pi
Setting up Raspberry pi for multi-sensor
Basic coding with Raspberry pi for applications
Interfacing LCD with Arduino for real-time display
Interfacing usb web camera with Raspberry pi
Interfacing Dht11 sensor with Raspberry pi
Interfacing Gsm with Raspberry pi
Understanding power supply requirements for wearable devices
About Project Development Life Cycle:
- Planning and Requirement Gathering (software, tools, hardware components, etc.)
- Schematic preparation
- Code development and debugging
- Hardware setup and debugging
- Development of the Project and Output testing
Practical exposure to:
- Hardware and software tools
- Solution providing for real-time problems
- Working with a team/individually
- Working on creative ideas
Project development skills:
- Problem analysis
- Problem solving
- Creativity and imagination
- Programming skills (Python)
- Deployment
- Testing
- Debugging
- Project presentation
- Report writing
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
