Driver alert and behavior monitoring system using video analysis

Chew, Kevin (2020) Driver alert and behavior monitoring system using video analysis. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

Preview

Text (Full Text) Driver alert and behavior monitoring system using video analysis.pdf - Submitted Version Download (2MB) | Preview

Abstract

Over the years, the rate of road accidents was seemingly increased. With this, road accidents had become one of the major causes of human death. According to data of research, one of the major cause of road accidents are approximately 1.35million deaths every year which were caused by road accidents and 20 to 50 million non-fatal injuries. NHTSA research shows that one of the main cause of road accidents is human error. To counter this problem, a driver monitoring system is being introduced. A driver monitoring system is a system which can detects the behaviour of the driver and alert the driver corresponding to their behaviour. In this project, a driver monitoring system is developed using image processing technique. This system mainly detects drowsy behaviour and yawning behaviour of the driver. The system will alert the driver differently depending on their behaviour. Besides that, the system is also integrated with IoT technology which the database of the system is connected to a cloud storage so that any inappropriate behaviour will be recorded and sent to the clod storage. The accuracy of the system is tested to be 92% accurate for detecting drowsy behaviour and 100% accurate for detecting yawning behaviour. Even though the system yields high accuracy in detecting the driver’s inappropriate behaviour, various improvement can still be implemented onto the system for better performance.

Actions (login required)

View Item