Intelligent Fall Detection Monitoring System

The efficacy of fall detection devices can be impacted by the different issues that aging communities experience. The use of these systems by elderly individuals can be challenging due to bodily and mental impairments, and some people might be reluctant to utilize the required gear. False alarms and detections that are missing can also be an issue, which undermines user confidence and discourages use of the system. Despite these difficulties, fall monitoring systems have the potential to significantly increase the safety and wellbeing of elderly people and people who have mobility issues by lowering the risk of injury and facilitating quick medical treatment in the event of a fall. We propose an IOT-based fall detection and monitoring system which is an advanced and modern solution utilizes the integration between multiple sensors to improve the safety and welfare of elderly people with mobility problems. The proposed system incorporates several cutting-edge sensing technologies, such as Wi-Fi signals, floor pressure sensors, smart carpets, accelerometers, gyroscopes, GPS, and pulse sensors, to detect and monitor falls in real-time. The suggested system can identify falls and offer real-time tracking for patients, lowering the risk of injury and allowing quick medical treatment.