DETECTING THE PRESENCE OF HUMAN BEINGS AT SUICIDE SPOT USING IOT AND ANDROID

COMPUTER ENGINEERING

Over recent years, suicides have proliferated due to work stress and depression. Various types of suicides are done on the basis of a person's mentality. It is an act of intentionally killing oneself by suspending it from the anchor point. New innovations such as Internet of things (IOT), machine learning, deep learning, etc have been used in different safety mechanisms. The IOT is a broad term for connected devices that communicate with other connected devices via embedded sensors and wireless networks, mainly cellular and Wi¬¬-Fi. In enduring system uses one PIR sensor module with many well-known machine learning and computer vision methods for analog pattern recognition and movement classification, but it is difficult when compared with a single sensor-based system’s performance with multi sensor design and mischance in arriving rate. The proposed system explore to detect the human being at suicide point and notify the rescue team regarding the act using IOT and android application. And provide better outcomes in the identification of suicide attempts in progress compared to traditional approaches.

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