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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM28368

E-Challan Based Intelligent Assistance System for Smart City

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM28368

Volume:

8 |

1 |

Jan 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM28368

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MAMPS

Mr.Kiran Awatade Ms. Pratiksha Sabale

MN

Ms.Shubhangi Navatre

MJ

Ms.Mamta Jakkapalli

M

Mr.AvishkarLangade

MS

Mr.Shrikant Salunkhe

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Abstract

Traffic management and enforcement of road safety regulations have become increasingly crucial in modern urban environments, as the number of vehicles on the roads continues to surge. With the rise in traffic violations, particularly signal disobedience, there is a pressing need for innovative solutions that can efficiently detect and penalize offenders while reducing the burden on law enforcement personnel. The E-Challan System harnesses the power of cutting-edge computer vision techniques, most notably Automatic Number Plate Recognition (ANPR), to accurately capture and decipher vehicle number plates in real- time. High-resolution cameras strategically positioned at traffic junctions and signal intersections actively monitor passing vehicles, automatically detecting those that violate traffic signals. Upon successful identification of a signal violation, the E-Challan System promptly generates an electronic challan, or e-challan, containing detailed information about the violation, such as the date, time, and location of the incident. This comprehensive documentation serves as indisputable evidence of the offense and provides an essential legal foundation for imposing fines on violators. with an Auto Debit Fine mechanism.

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Cite This Article

Mr.Kiran Awatade Ms. Pratiksha Sabale, Ms.Shubhangi Navatre, Ms.Mamta Jakkapalli, Mr.AvishkarLangade, Mr.Shrikant Salunkhe, "E-Challan Based Intelligent Assistance System for Smart City," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 1, Jan 2024. https://doi.org/10.55041/IJSREM28368

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Publication Date

12/31/45318

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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