Curbing Traffic Rule Violation Using Machine Vision

AUTHOR(S)

Akhash Kumar A, Kamalesh Kumar R, Sriram Prasad MI

DOI: https://doi.org/10.46647/ijetms.2023.v07i03.010

ABSTRACT
According to a 2017 report of the Bureau of Police Research there are 20 crore registered vehicles for 72,000 traffic police. Though the number of traffic police have not changed much the number of vehicles has gone up to nearly 30 crore in 2022. Many drivers know that the probability of getting caught is very less. So, traffic rules like speed suggestions are taken more as a suggestion than a rule to be followed. This leads to many road accidents. The National Crime Record Bureau data on the accidental deaths in India shows the number has increased from 3,54,796 in 2020 to 4,03,116 in 2021.the fatalities have increased by 16.8 percent. The Cause-wise analysis reveals that most of the road accidents were due to over speeding accounting for 2,40,828 out of 4,03,116 cases (59.7%) causing 87,050 deaths and injuring 2,28,274 people. This project aims to reduce these over speeding violations by processing the CCTV camera footage to identify the violators and warn them and to fine the repeat violators. With the ever-increasing number CCTV cameras being installed across India and knowing that they are constantly monitored by the authorities will push the drivers to follow the rules more strictly

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How to Cite This Article:
Akhash Kumar A, Kamalesh Kumar R, Sriram Prasad MI .Curbing Traffic Rule Violation Using Machine Vision . ijetms;7(3):72-78. DOI: 10.46647/ijetms.2023.v07i03.010