This paper is published in Volume-6, Issue-2, 2020
Area
Computer Science And Engeneering
Author
Gouri Chavan, Megha Khot, Panchshila Kamble
Org/Univ
D. Y. Patil College of Engineering and Technology, Kolhapur, Maharashtra, India
Pub. Date
17 March, 2020
Paper ID
V6I2-1193
Publisher
Keywords
Qr Code, Smartphone, Vehicle.

Citationsacebook

IEEE
Gouri Chavan, Megha Khot, Panchshila Kamble. E-Challan Generation using QR code, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Gouri Chavan, Megha Khot, Panchshila Kamble (2020). E-Challan Generation using QR code. International Journal of Advance Research, Ideas and Innovations in Technology, 6(2) www.IJARIIT.com.

MLA
Gouri Chavan, Megha Khot, Panchshila Kamble. "E-Challan Generation using QR code." International Journal of Advance Research, Ideas and Innovations in Technology 6.2 (2020). www.IJARIIT.com.

Abstract

During the past few years, traffic accidents & breaking traffic rules has increasing day by day. This work aims at implementing a vehicle document check system where information is retrieved from the database by the traffic police using their Smartphone and the physical documents are not needed to be carried along thereby saving time of filling details manually. QR code is the treadmark for a type of matrix barcode, and QR code is developed in 1994 which has become admired outside the automotive industry due to its fast readability and greater storage capacity compared to standard Universal Product Code (UPC) barcodes. OCR is Optical Character Recognition to convert the electrical images into the machine encoded text for many purposes. This work takes an account of QR codes and OCR, at the front end, android application is created with which traffic police can scan the QR code or number plate using QR code scanner or OCR scanner respectively on officer’s phone and all the details about the owner of the vehicle will be shown on the phone and accordingly E-Challan will be generated and sent to the vehicle owner through SMS. Thus, this work is an attempt to highlight the automatic generation of E-Challan using QR codes and OCR.