Informatics Publishing Limited

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

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

Abstract

Objective: This paper intents to develop an Android Based Application integrating with backend cloud services instead of local storage database. Methods: In this paper, wepropose a mechanism in the context of a mobile application with cloud services integration to identify distance. The aim of the proposed work is to identify distance between each devices and triggers an alert if there are any nearby devices approaching. The mechanism used for calculating the distance is based on distance Between. Findings: Mobile application that are based on geo-fence has been in the market in recent years. Most of the current geo-fence application are providing direction and estimation of distance to reach their desired location. However, the constraint is that, there is no framework or mechanism that is dedicated for identifying the distance between each devices and triggers an alert. As of late, mobile application has been the leverage connectivity for vehicles. Application/Improvements: The future enhancement for the application to be based on vehicle distance monitoring and traffic information.

Keywords

Alert, Android App, Distance Estimation, Leverage Connectivity

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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

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