Virtual Traffic Police
Author(s):
Niket Agrawal, Omkar Tiwari, M. Shujaduddin, Mrs. Keerthana Shankar
Keywords:
Optical Character Recognition(OCR), OpenCV, CNN (Convolution neural network), image processing, violation detection
Abstract
In the new evolving world, business rule violations have become a central issue for the maturity of developing countries. The figures for vehicles are adding fleetly as well as the figures for business rule violations are adding exponentially. Managing business rule violations has always been a tedious and compromising task. Indeed though the process of business operation has come automated, it's a veritably grueling problem, due to the diversity of plate formats, different scales, reels, and non-uniform illumination conditions during image accession. The top ideal of this design is to control business rule violations directly and bring them effectively. The proposed model includes an automated system that uses a camera grounded on a PC to capture videotape. The design presents Automatic Number Plate Recognition(ANPR) ways and other image manipulation ways for plate localization and character recognition which makes it brisk and light to identify the number plates. After fetching the vehicle number from the number plate the SMS grounded module is used to notify the vehicle possessors about their business rule violation. A fresh SMS is transferred to Regional Transport Office(RTO) for tracking the response status.
Article Details
Unique Paper ID: 157955

Publication Volume & Issue: Volume 9, Issue 8

Page(s): 259 - 261
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Latest Publication

Go To Issue



Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers