Helmet and Number Plate Detection using Deep Learning | Python IEEE Project 2024

Helmet and Number Plate Detection using Deep Learning | Python Final Year IEEE Project 2024 - 2025.
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📌Project Title: Helmet and Number Plate Detection using Deep Learning.
💡Implementation: Python.
🔬Algorithm / Model Used: YOLOv8 Architecture.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.
💰Cost (In Indian Rupees): Rs.5000/

📌OUR PROPOSED PROJECT ABSTRACT:
The project titled "Helmet and Number Plate Detection using Deep Learning" employs advanced machine learning and computer vision techniques to address critical aspects of traffic management and safety enforcement. The system is developed using Python and leverages the powerful YOLOv8 (You Only Look Once, Version 8) object detection architecture for real-time identification of helmets and vehicle number plates. The front-end interface is built with HTML, CSS, and JavaScript, and is supported by the Flask web framework, providing a responsive and user-friendly environment for interacting with the detection system.

📌IEEE Base Paper Title: YOLO-ESCA: A High-Performance Safety Helmet Standard Wearing Behavior Detection Model Based on Improved YOLOv5.

📌REFERENCE:
PEIJIAN JIN, HANG LI , WEILONG YAN, AND JINRONG XU, “YOLO-ESCA: A High-Performance Safety Helmet Standard Wearing Behavior Detection Model Based on Improved YOLOv5”, IEEE Access ( Volume: 12), 2024.

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