Abstract

Current global statistics shows that increasing number of elderly people live alone. Considering this unavoidable situation, a smart IoT system that can ease young family members to monitor their elderly family member from anywhere has been proposed. In this paper, the system uses a low-cost single board computer, named Raspberry Pi, with embedded webcam to perform 24 hours monitoring is demonstrated. A fall incident can be detected by a captured video that will be processed using an image processing technique. This fall detection is done by several basic activities; separating moving objects from the background, calculating the parameters for these areas and finally, fall detection itself. The fall detector is essential for elderly person monitoring since most of them suffer from chronic diseases and thus need more attention from their young family members. The system can also send notification to the user using social media application when detecting fall incidents in the monitoring area. Video captured by the system will be stored in cloud server, so that it can be used for any incident investigation in the future. By using the system, incidents such as death of elderly family members can be avoided by notifying fall incidents to family members that might be away from home.

Highlights

  • The world's population is ageing at a faster rate than much may have realized

  • Some elderly people live with married children and maybe accompanied by their children-in-law

  • It has been reported that female labour participation rate (FLPR) climbed to

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Summary

INTRODUCTION

The world's population is ageing at a faster rate than much may have realized. According to [1], nearly 29% of the 46 million community-dwelling elderly live alone. IoT refers to millions of devices that are connected to the Internet, sharing and collecting data. Other input devices such as a camera can be used in IoT applications. Cameras can collect visual data used in any IoT application such as surveillance systems and detection systems [4,5,6]. [5] The system needs a heartbeat sensor to detect falls It requires an expensive device (ARM COTEX). Proposed The system uses cameras to detect falls It requires Internet connectivity (WiFi/4G GSM) to enable data transmission from the device to both the user and server. A monitoring device that can monitor the elderly from any location has been developed with fall detection function. The monitoring view is recorded and saved in cloud, so that it can be III. used in the event of forensics as the data is safely stored in a different location

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