Tricorn Smart System |
Author(s): |
| Arya Bhupendra Thube , MVPs Rajarshi Shahu Maharaj Polytechnic, Nashik 422013; Mrunali rajendra Tambe , MVPs Rajarshi Shahu Maharaj Polytechnic, Nashik 422013; Nisha Kiran Valve, MVPs Rajarshi Shahu Maharaj Polytechnic, Nashik 422013; Nita Kiran Valve, MVPs Rajarshi Shahu Maharaj Polytechnic, Nashik 422013; Prof. Madhuri Patil, MVPs Rajarshi Shahu Maharaj Polytechnic, Nashik 422013 |
Keywords: |
| Road Safety, Machine Learning (ML), Helmet Detection, Triple Seating Detection, Red Light Jumping, Real-time Monitoring, Traffic Cameras |
Abstract |
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Nowadays, road accidents is one of the major causes that leads to human death. Among them, motor bike accidents are common, causes critical injuries. Helmet is the main protection unit for a motor bicyclist. However, many fail to conform to the law of wearing helmet, laws of triple seat riding and red light jumping. In this system we are going to cover three objectives in one system that is automatic helmet detection, triple seat riding and red light jumping. Our system is fully automatic system with fine. The system provides real-time alerts and reports to traffic authorities. Our system will be reduced most of accidents and daily deaths. |
Other Details |
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Paper ID: IJSRDV12I20076 Published in: Volume : 12, Issue : 2 Publication Date: 01/05/2024 Page(s): 61-63 |
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