Kirbana Jai Raman ¹, Afizan Azman ¹, Wong Kit Wen ¹, Siti Zainab Ibrahim ¹, Sumendra Yogarayan ¹, Mohd Fikri Azli Abdullah ¹, Siti Fatimah Abdul Razak ¹, Anang Hudaya Muhamad Amin ¹, Kalaiarasi Sonai Muthu ¹

Affiliations
1 Department of Information Science and Technology, Multimedia University, Malacca, MY

Abstract

At the present, vehicles security is now a concern for the owner because there is getting more and more vehicles being stolen or compromise by theft. Nowadays, security of the vehicles is not secure enough to withstand the compromise techniques that the theft have. In this project, a security method to implement in the driving environment, it is called the Driver Face Recognition-Anti Theft System. It involves face enrolment of the driver as the initial stage followed by facial recognition. This is a system is to assist current vehicles security to become better to prevent the vehicles being steal by the theft.

Keywords

Anti-theft, Face Enrolment, Face Recognition, Security

Full Text

   

Kirbana Jai Raman ¹, Afizan Azman ¹, Siti Zainab Ibrahim ¹, Sumendra Yogarayan ¹, Mohd Fikri Azli Abdullah ¹, Siti Fatimah Abdul Razak ¹, Anang Hudaya Muhamad Amin ¹, Kalaiarasi Sonai Muthu ¹

Affiliations
1 Faculty of Information Science and Technology, Multimedia University, Malacca, MY

Abstract

Accidents on road are very common these days with most of it are caused by driver behavioral pattern. Driver fatigue can also be categorized under driver behavioral as it comes from the driver itself. The idea behind the paper is to discuss the facial recognition and features used to detect and alert drivers in real time if fatigue is detected. Face monitoring technique is used to identify state of the driver. With the existence of such alert system, it would be helpful to reduce accidents on road.

Keywords

Alert, Eye Closure, Facial Recognition, Fatigue, Yawning

Full Text