CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Smart Cop Application for E-challan and Women Safety

by Kritika Balihar, Jatin Gaur, Rohit Kharb, Aman Thakur
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 16
Year of Publication: 2021
Authors: Kritika Balihar, Jatin Gaur, Rohit Kharb, Aman Thakur
10.5120/ijca2021921052

Kritika Balihar, Jatin Gaur, Rohit Kharb, Aman Thakur . Smart Cop Application for E-challan and Women Safety. International Journal of Computer Applications. 174, 16 ( Jan 2021), 33-37. DOI=10.5120/ijca2021921052

@article{ 10.5120/ijca2021921052,
author = { Kritika Balihar, Jatin Gaur, Rohit Kharb, Aman Thakur },
title = { Smart Cop Application for E-challan and Women Safety },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2021 },
volume = { 174 },
number = { 16 },
month = { Jan },
year = { 2021 },
issn = { 0975-8887 },
pages = { 33-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number16/31765-2021921052/ },
doi = { 10.5120/ijca2021921052 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:22:19.843162+05:30
%A Kritika Balihar
%A Jatin Gaur
%A Rohit Kharb
%A Aman Thakur
%T Smart Cop Application for E-challan and Women Safety
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 16
%P 33-37
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This app is intended to file e challan by just scanning the number plate of the vehicle. Another function of this app is to get online live complaints along with live Geolocation with the help of Google maps APIs. We've also implemented the criminal history checker in app with which we scan recognize the face and check into database if person have active criminal cases. This app also enhances the women safety by a module getting live location of victim. This app provides a Notice/Circular dashboard, for the police to convey important notices to them so that they can act as soon as possible.

References
  1. Goel, S. K., & Shukla, M. (2018). Enforcement of Automatic Penalty (e-Penalty) to Govern the Traffic Rule Violators in Digitized INDIA Using ICT. In Computational Vision and Bio Inspired Computing (pp. 788-802). Springer, Cham.
  2. Nigam, U., Akhtar, S., Singh, R., Ahmad, S., Kumar, S., & Ambikapathy, A. (2019). Automatic Traffic Monitoring and E-Challan Generation Using Matlab. Journal of Control & Instrumentation, 10(1), 911.
  3. Dhage, M. R., Patil, G. V., Mistry, S. J., Tambe, P. N., & Nankar, P. H. (2019, July). Automatic Traffic E-challan Generation Using Computer Vision. In International Conference on Sustainable Communication Networks and Application (pp. 203-213). Springer, Cham.
  4. Dubey, R. S., & Warker, K. V. (2017, June). An effective approach for e-challan for traffic violator using picode. In 2017 International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 810-813). IEEE.
  5. S Onah, K. (2018). DESIGN AND IMPLEMENTATION OF TRAFFIC OFFENCE TRACKING SYSTEM (Doctoral dissertation, Godfrey Okoye University Ugwuomu Nike, Enugu).
  6. Welekar, A. R., Dahake, R. S., Bodhane, S. M., Wawre, T. B., Umbarkar, R. P., & Ghormode, P. S. (2018). Analysis of Rules Violation & Efficient E-Challan Generation Using OCR In Real Time Traffic.
  7. Jichkar, N., Deulkar, A., Thakare, A., Bolakhe, S., & Vaidya, S. A Novel Approach for Automated E-challan Generation using QR Code and OCR.
  8. Dambe, A., Gandhe, U., & Bendre, V. (2013). Automatic penalty charging for violation of traffic rules. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2(2).
  9. Biswas, R., Beed, R. S., Seth, D., Pal, P., Basu, K., & Mukherjee, T. (2015). Traffic Rule Violation Information System TRuVIS. International
  10. Lonkar, B. B., Sayankar, M. R., & Charde, P. D. (2018, April). Design and Monitor Smart Automatic Challan.
  11. Generation Based on RFID Using GPS and GSM. In Proceedings of 3rd International Conference on Advances in Internet of Things & Connected Technologies (ICIoTCT).
Index Terms

Computer Science
Information Sciences

Keywords

E-penalty E-challan Traffic Violation Women Safety

Powered by PhDFocusTM