SMART TRIAL SYSTEM
Date
2023-03
Journal Title
Journal ISSN
Volume Title
Publisher
I.O.E. Pulchowk Campus
Abstract
Driving is a common and important mode of transportation in the daily lives of people. It
allows people to move freely and independently from one place to another. To drive legally
in Nepal, as in most countries, a person requires a driving license, for which he/she has to
undergo a series of tests in the government office. In Nepal, a candidate applying for a license
has to drive over a fixed path in front of the authorities. The candidate has to complete
the test in accordance with specific rules and if he fails to do so he/she will be disqualified.
Manually monitoring the errors of the candidates is done by these authorities. Also, the
issue of bribery for obtaining a driver’s license is a significant problem in Nepal. To address
this issue, we have proposed an AI-based solution named CarSight. CarSight is a Computer
Vision model designed to analyze visual data from cameras that verifies whether a driver
has passed or failed the driving test. It uses YOLO-v5 to detect and track the motion of the
trial vehicles in a set of real-time videos obtained from cameras placed around the model
track. The system gives an instant pass or fails result depending on the driver’s performance
once they finish the trial exam. The accuracy of detecting and evaluating the driver’s performance
was successfully demonstrated by our experimental results for our system. Our
proposed system can help to bring fairness in the process of obtaining a driver’s license.
Description
Driving is a common and important mode of transportation in the daily lives of people. It
allows people to move freely and independently from one place to another. To drive legally
in Nepal, as in most countries, a person requires a driving license, for which he/she has to
undergo a series of tests in the government office.
Keywords
trial center,, illegal license,, image processing,