SMART TRAFFIC SAFETY SYSTEM WITH AUTOMATED HELMET DETECTION AND DYNAMIC SIGNAL CONTROL
Objective
Develop an advanced Smart Traffic Safety System that integrates automated helmet detection technology with dynamic signal control to enhance road safety. The system aims to reduce accidents, injuries, and fatalities by enforcing helmet usage among motorcyclists and optimizing traffic signal patterns based on real-time traffic conditions.
Abstract
This abstract presents a Smart Traffic Safety System integrating YOLOv2-based Automated Helmet Detection and Dynamic Signal Control. With a focus on enhancing road safety, the system employs YOLOv2, a state-of-the-art object detection algorithm, to identify helmet usage among motorcyclists.
The system incorporates Dynamic Signal Control to optimize traffic flow based on the detected helmet status. By dynamically adjusting traffic signals in response to the helmet detection results, the system aims to enhance overall road safety and efficiency. The proposed solution leverages advanced computer vision techniques for accurate and efficient helmet detection, coupled with intelligent traffic signal control strategies to create a comprehensive Smart Traffic Safety System.
The integration of these components showcases a promising approach to proactively address road safety concerns and improve traffic management in a technologically advanced and automated manner.
Keywords: Road Vehicles dataset, Image preprocessing, Yolov2, Yolov2 Layers.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Software: Matlab 2020a or above
Hardware:
Operating Systems:
- Windows 10
- Windows 7 Service Pack 1
- Windows Server 2019
- Windows Server 2016
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space
RAM:
Minimum: 4 GB
Recommended: 8 GB
Learning Outcomes
· Introduction to Matlab
· What is EISPACK & LINPACK
· How to start with MATLAB
· About Matlab language
· Matlab coding skills
· About tools & libraries
· Application Program Interface in Matlab
· About Matlab desktop
· How to use Matlab editor to create M-Files
· Features of Matlab
· Basics on Matlab
· What is an Image/pixel?
· About image formats
· Introduction to Image Processing
· How digital image is formed
· Importing the image via image acquisition tools
· Analyzing and manipulation of image.
· Phases of image processing:
o Acquisition
o Image enhancement
o Image restoration
o Color image processing
o Image compression
o Morphological processing
o Segmentation etc.,
· How to extend our work to another real time applications
· Project development Skills
o Problem analyzing skills
o Problem solving skills
o Creativity and imaginary skills
o Programming skills
o Deployment
o Testing skills
o Debugging skills
o Project presentation skills
o 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.
