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  - huggingface
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- # Project Details
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- - project_name: "Real-Time Detection of Helmet Violations and Capturing Bike Numbers"
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- - project_description: "A model developed for real-time detection of helmet violations and capturing bike numbers from number plates using computer vision technology. The model aims to enhance safety and enforce regulations related to motorcycle traffic by identifying instances of helmet violations and capturing vehicle registration numbers."
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Real-Time Detection of Helmet Violations and Capturing Bike Numbers from Number Plates
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+ ## Introduction
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+ The real-time detection of helmet violations and capturing bike numbers from number plates is a comprehensive project that aims to enhance road safety by addressing two critical aspects:
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+ 1. **Helmet Violation Detection**: This component of the project focuses on identifying motorcycle riders who are not wearing helmets. It uses computer vision techniques to analyze real-time camera feeds and instantly alerts authorities when a violation is detected.
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+ 2. **Capturing Bike Numbers**: The second component involves recognizing number plates and extracting number plate information from vehicles in real-time. This feature is valuable for law enforcement.
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+ ## Table of Contents
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+ - [Helmet Missing Detection](#helmet-missing-detection)
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+ - [Capturing Bike Numbers](#capturing-bike-numbers)
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+ ## Helmet Missing Detection
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+ The helmet missing detection module uses computer vision techniques to:
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+ - Detect faces and riders on motorcycles.
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+ - Determine whether the rider is wearing a helmet.
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+ - Trigger alerts or notifications when a violation is detected.
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+ ## Capturing Bike Numbers
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+ The number plate recognition module uses Optical Character Recognition (OCR) techniques to:
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+ - Detect number plates on vehicles.
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+ - Recognize the characters and display the number plate information in real-time.
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+ ## Dataset
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+ -Acquired a comprehensive dataset from online sources containing 120 images with complete rider information, including the rider, helmet presence, and visible number plate and annotated it.
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+ ## Archietecture Used
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+ - YOLO
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+ - PaddleOcr
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+ ### If you find this project useful, kindly give it a like
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