Enhancing Crowd Safety at Hajj: Real-Time Detection of Abnormal Behavior Using YOLOv8
Objective
The main objectives of this project are to enhance crowd safety during Hajj by detecting abnormal human behaviors in real-time usingYOLOv8.It focuses on applying deep learning techniques to identify potentially dangerous situations like falls, fights, or stampedes. The goal is to support quick decision-making and ensure timely response for preventing crowd-related disasters.
Abstract
This project presents a real-time crowd safety monitoring system using Raspberry Pi, USB web camera, speaker, buzzer, red LED, and the YOLOv8 deep learning model. The system continuously analyzes live video streams to detect abnormal activities, physical fights, and crowd congestion in crowded environments. When an abnormal event is detected, the buzzer and speaker generate warning alerts, while the red LED provides a visual indication of the emergency. The proposed system offers a low-cost, portable, and efficient solution for enhancing crowd safety, improving emergency response, and supporting intelligent crowd management in large public gatherings such as Hajj, religious events, and transportation hubs.
Keywords: Keywords: YOLOv8, Crowd Safety, Abnormal Behavior Detection, Raspberry Pi.
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
- Speakers
- Red LED
- Web camera
- Buzzer
- connectors-10
Software requirements:
- Raspbian OS
- Python IDLE
Learning Outcomes
- Raspberry pi pin diagram and architecture
- How to install Raspberrypi / setup software
- Setting up and installation procedure for Raspberrypi
- Introduction to Raspberrypi environment / development setup
- Basic programming in Raspberrypi (Python)
- Basics of Embedded programming using Raspberrypi
- 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
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.
