MRaftaar

MRaftaar presents a remedy for curbing Traffic Rule Violations using an innovative mobile phone application that curbs traffic rule violations by generating e-challans in response to the offence proofs submitted by vigilant citizens using the application. The genesis of the research comes from Large Number of Accidents and Congestion on Roads causing problems to the general public. Whenever a Vigilant Citizen finds another Person violating traffic rules, he takes a snap (registration number should be clearly visible in the picture) by clicking the “capture” icon in the Raftaar App. Rest of the things take place in background and do not require user interaction. The image of the Violator is uploaded on the Microsoft Azure Database Management System available on Cloud. The Azure Database will be used by the traffic police officer to print a Memo containing the Vehicle No., Offence Proof, Date and Time of Offence, Location and Offence History along with the amount of Fine which will be sent to the Violator. When Violator gets the Memo, he/she has to deposit the Fine online or in the Fine Collection Center. This helps to curb Traffic Rule Violations and empowers General Public to curb traffic rule violations. This campaign can initiate a domino effect wherein the actions of one vigilant citizen can positively influence a behavioral change among other citizens.

The Research paper was presented at the National Conference on Emerging Trends in Electronics and Telecommunication Engineering (ETIETE -2016) and was published in the International Journal of Innovative Research in Computer and Communication Engineering as a proceeding of the Conference.

Role: Software Developer
Date: Oct 2015 - Dec 2015
Reference: Research Paper
Skills:
Cloud Computing
Computer Vision
Image Processing
Windows Phone
OpenCV
Data Extraction