Automatic Real Time System for Traffic Security and Violation Detection


Article PDF :

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Article type :

Original Article

Author :

Piyush Raj | Deepak Dhormare | Samrika Singh | Snehal Nawade | Prof. R. U. Yawale

Volume :

2

Issue :

3

Abstract :

According to UN report 2017, India currently has the second largest population in the world in that India has the worlds largest youth population despite having a smaller population than China. We are considering youth because most of the fatal and non fatal type of accidents that we experience or encounter, contain highest rate of youths lives. As population increase number of automobiles also increases. With the increase in automobiles, the traffic violation has increased exponentially due to lack of manpower and resources. The traffic law violations has become a major concern for fatal accidents. Since there are various resources available to detect the traffic violations but this requires the effect of an officer for holding the resources and maintaining the manual penalty system. In this we have come up with an alternative method using video processing technique which overcomes the drawbacks of manual system that will enforce people to follow the traffic rules sincerely. The proposed system mainly aims to reduce the accident that happens due to traffic violation and also to provide safety to the human lives and vehicles in the accident prone zone Piyush Raj | Deepak Dhormare | Samrika Singh | Snehal Nawade | Prof. R. U. Yawale "Automatic Real Time System for Traffic Security and Violation Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: https://www.ijtsrd.com/papers/ijtsrd10700.pdf Paper URL: http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/10700/automatic-real-time-system-for-traffic-security-and-violation-detection/piyush-raj

Keyword :

CCS, DM388 Camera Kit, LBP, Blob detection, SDS, RVDS, Preprocessing, background detection, shadow detection, foreground image, UID
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