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Title: :  Traffic signal violation monitoring through video surveillance using CNN
PaperId: :  10454
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 3 2019
DUI:    16.0415/IJARIIE-10454
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prof.S.P.JadhavPvpit,Bavdhan
Shubham AmbekarPvpit,Bavdhan
Mangesh DagadePvpit,Bavdhan
Ajay Yadav Pvpit,Bavdhan
Sagar BurandePvpit,Bavdhan

Abstract

Computer Engineering
CNN, Image Binarization, Region of interest, Number plate recognition.
Most of the traffic jams and accidents are occurred due to the bad traffic rule violation habits of the drivers or riders. This often leads to chaos and it may cause serious injuries, sometimes death also. This type of offenses can curb by identifying the offenders immediately and punish them with hefty fines. But many times due to over traffic and extreme weather conditions, traffic handling police personnel cannot do their duty up to their threshold. Availability of the artificial intelligence system which can do identify the offender and fine them immediately can bring the problem to considerable low level, this will lead to smooth traffic. Some methodologies are existed to identify the vehicles using Radio frequency identification tags (RF ID), this is again a costlier affair as all vehicles are not equipped with RF ID tags. So to better the process of traffic violation offender detection proposed model uses web cameras to identify the violated vehicle plate number through Convolution neural network, which uses the pattern matching technique for identification of numbers, thereby to fine the offender for the same and informing him through a text SMS.

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IJARIIE Prof.S.P.Jadhav, Shubham Ambekar, Mangesh Dagade, Ajay Yadav , and Sagar Burande. "Traffic signal violation monitoring through video surveillance using CNN" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 3 2019 Page 1498-1505
MLA Prof.S.P.Jadhav, Shubham Ambekar, Mangesh Dagade, Ajay Yadav , and Sagar Burande. "Traffic signal violation monitoring through video surveillance using CNN." International Journal Of Advance Research And Innovative Ideas In Education 5.3(2019) : 1498-1505.
APA Prof.S.P.Jadhav, Shubham Ambekar, Mangesh Dagade, Ajay Yadav , & Sagar Burande. (2019). Traffic signal violation monitoring through video surveillance using CNN. International Journal Of Advance Research And Innovative Ideas In Education, 5(3), 1498-1505.
Chicago Prof.S.P.Jadhav, Shubham Ambekar, Mangesh Dagade, Ajay Yadav , and Sagar Burande. "Traffic signal violation monitoring through video surveillance using CNN." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 3 (2019) : 1498-1505.
Oxford Prof.S.P.Jadhav, Shubham Ambekar, Mangesh Dagade, Ajay Yadav , and Sagar Burande. 'Traffic signal violation monitoring through video surveillance using CNN', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 3, 2019, p. 1498-1505. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Traffic_signal_violation_monitoring_through_video_surveillance_using_CNN_ijariie10454.pdf (Accessed : ).
Harvard Prof.S.P.Jadhav, Shubham Ambekar, Mangesh Dagade, Ajay Yadav , and Sagar Burande. (2019) 'Traffic signal violation monitoring through video surveillance using CNN', International Journal Of Advance Research And Innovative Ideas In Education, 5(3), pp. 1498-1505IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Traffic_signal_violation_monitoring_through_video_surveillance_using_CNN_ijariie10454.pdf (Accessed : )
IEEE Prof.S.P.Jadhav, Shubham Ambekar, Mangesh Dagade, Ajay Yadav , and Sagar Burande, "Traffic signal violation monitoring through video surveillance using CNN," International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 3, pp. 1498-1505, May-Jun 2019. [Online]. Available: https://ijariie.com/AdminUploadPdf/Traffic_signal_violation_monitoring_through_video_surveillance_using_CNN_ijariie10454.pdf [Accessed : ].
Turabian Prof.S.P.Jadhav, Shubham Ambekar, Mangesh Dagade, Ajay Yadav , and Sagar Burande. "Traffic signal violation monitoring through video surveillance using CNN." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 3 ().
Vancouver Prof.S.P.Jadhav, Shubham Ambekar, Mangesh Dagade, Ajay Yadav , and Sagar Burande. Traffic signal violation monitoring through video surveillance using CNN. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : ]; 5(3) : 1498-1505. Available from: https://ijariie.com/AdminUploadPdf/Traffic_signal_violation_monitoring_through_video_surveillance_using_CNN_ijariie10454.pdf
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