Integrated Monitoring System for Elderly Care in Smart Home

There exist a substantive number of applications that have been designed for smart homes. They may include; home monitoring, security, comfort, alarm, health monitoring etc. Research shows that the number of people at the age of 60 or more around the globe is likely to increase. For instance, it is estimated that by the year 2050, this group of people will increase by almost half (50%). There is a lack of adequate and sufficient resources to care for the elderly in the society. This paper seeks to provide for the design and implementation of an effective monitoring system that incepts sound and face detection as a means of tracking. The projected monitoring system incorporates the Arduino Intel Galileo as a control monitoring mechanism. The device, that mainly uses sound detection sensor EasyVR 2.0, will be used to monitor the elderly people in different facilities. In addition, the gadget is fitted with a pixy camera programmed by using an OpenCV framework with C++ language. The device will be integrated together with the GPRS/GSM shield so as to notify the administrators at medical facilities of emergencies that may occur. The EasyVR commander software (3.7.25.0) was used in the determination of the effectiveness of this gadget. Further, the experimental test run was also arrived at by use of PixyMon software together with hardware results that were obtained by 50 fps. The main aim of this research study is the provision of a device with multimodal biometric features to enhance monitoring ability in various homes. Keywords: sound detector, face detection, arduino galileo, pixy camera, GPRS/GSM.