omkarjavali/Automatic-Traffic-Rule-Violation-Detection-and-Fine-Collection-Using-Machine-Learning
This project utilizes machine learning to detect traffic rule violations i.e., helmet detection. It captures video feeds from traffic cameras, processes them to identify violations, and automates fine collection by notifying relevant authorities. The system aims to enhance road safety and streamline traffic management.
This system helps traffic management authorities and law enforcement streamline the detection of traffic rule violations, specifically focusing on helmet detection. It takes live video feeds from traffic cameras as input, automatically identifies instances where riders are not wearing helmets, and then triggers notifications for fine collection. Traffic police departments, municipal traffic authorities, and road safety enforcement agencies would use this.
No commits in the last 6 months.
Use this if you need an automated way to monitor traffic for helmet violations and simplify the process of issuing fines.
Not ideal if you require detection of a wide range of traffic violations beyond helmet detection, or if you don't have existing traffic camera infrastructure.
Stars
11
Forks
5
Language
Python
License
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Category
Last pushed
Jul 23, 2024
Commits (30d)
0
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