International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 06 | Jun 2023
p-ISSN: 2395-0072
www.irjet.net
Computer Vision Based Driver Monitoring, Assisting and Grading System for Driving Schools L.D.T.A Srimantha1, R.D.T.M Ranasinghe2, H.A.K.W Jayasekara3, P.A.H.H Pathiraja4 1Department of Computer Systems & Network Engineering Sri Lanka Institute of Information Technology
Malabe, Sri Lanka
2Department of Computer Systems & Network Engineering Sri Lanka Institute of Information Technology
Malabe, Sri Lanka
3Department of Computer Systems & Network Engineering Sri Lanka Institute of Information Technology
Malabe, Sri Lanka
4Department of Computer Systems & Network Engineering Sri Lanka Institute of Information Technology
Malabe, Sri Lanka ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Nowadays, the use of vehicles for
transportation has increased rapidly. Along with the development of transportation, road systems have been developed. With the increase in the number of vehicles on the roads, vehicle accidents have increased rapidly. Due to this, there is currently a legal system related to the main road systems in countries. Obtaining a driver's license is mandatory in many countries, requiring individuals to pass both a written and practical test, which includes joining a government-registered driving training school and receiving proper training. During the practical exams, examiners generally assess various tasks. A task has several subtasks that must be performed in a specific order. Therefore, more attention is given to these sub-tasks when training drivers. This research proposes an automated driver monitoring, assist, and grading system to enhance the current training process. With the ability of the system to monitor and detect various behaviors, such as observing in the mirrors, using turn signals and horns, and identifying different types of road lines, the system can provide immediate alerts to trainee drivers and generate grading reports at the end of each training session. The proposed system would be effective for driving schools in producing safe and responsible drivers.
Instructor should also observe the trainee driver's activities, vehicle safety, and road surroundings.
Usually, instructors mark what the trainee is trained to do on a table on a piece of paper, but there is currently no methodology to grade the trainee's activities.
The major component of the proposed system includes driver identification, face position (left or right) detection, identify different types of road boundary lines (on the center of roads), and detection of blinking taillights of vehicles. Additionally, it includes the detection of honking and turn signal usage. All the above observations are saved in the backend in real time and sent to a web interface via an API (Application Programming Interface). The web interface generates a report at the end of a driving training session. When an individual sits in the driving seat, he or she is to be recognized by a camera (camera 1), which is placed in front and above the seat, only if the trainee has registered with the driving school. This feature is utilized to generate a grading report relevant to an identified person.
Currently, there are driver monitoring and assistance systems in the world. Those systems are designed to monitor inappropriate driver behaviors and emit immediate warnings. Such as eye movements, head movements, facial expressions, drowsiness detection, vehicle speed, position, etc. But currently, there is no monitoring system for driving in the world. Also, driving schools have the following shortcomings currently.
Impact Factor value: 8.226
1.1 Proposed Driver Monitoring System
1. INTRODUCTION
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The driving instructor has a heavy workload and a lot of responsibility during a training session. Because they have to give big support to trainee drivers to drive.
Thus, our solution focused on introducing an automated driver monitoring, support, and grading system for driving schools.
Key Words: Driver Monitoring System, Computer Vision, Image Processing, API, Country-specific regulations, Traffic Rules
© 2023, IRJET
After that, when starting the training session, the instructor can give commands to do the functions. A microphone is supplied to the instructor. He should provide commands through the microphone. During the driving period, the system continuously monitors the driver. In
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