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Hello! I'm a passionate maker and electronics enthusiast, always eager to explore and create innovative projects.
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An AI based wearable fall detection system with a portable handheld node for lone workers, hikers, cyclist and more.
Arduino UNO R4 WiFi

Lone workers and hikers face unique challenges regarding safety, particularly concerning the risk of falls. Lone workers often operate in remote or hazardous environments, making it essential to have reliable safety measures in place. If they experience a fall, immediate assistance may not be readily available, which can lead to serious consequences.

Similarly, hikers frequently traverse rugged terrains, where the risk of slips and falls increases significantly. Whether they are on a challenging mountain trail or a secluded path, the potential for injury exists. A fall detection system designed for these individuals will be invaluable. It will ensure that help can be summoned quickly, providing peace of mind for both the workers and their families, and enhancing overall safety during outdoor activities.

My project idea is to develop an AI-based fall detection system that includes a portable handheld node and a base station for monitoring data. This system can be used for lone workers, hikers, cyclists, and more. The system does not require cellular service or internet access.

How I plan to implement this system:

The project will consist of three devices: a wearable device to detect falls, a portable handheld node for communication and data transmission to the base station, and a base station to monitor data and communicate with the nodes.

The wearable device will include an IMU to measure accelerometer and gyroscope values, as well as a microcontroller with Bluetooth capability. I will train the device to detect falls using Edge Impulse. Additionally, the device will feature an SD card slot for data collection to aid in training, and a manual panic button for emergencies. The device will be securely attached to the worker's belt or placed in another convenient location.

The handheld node will feature a microcontroller and connect to the wearable device via Bluetooth. It will also include GPS and custom sensors tailored to the end user's needs, such as O2 sensors for high-altitude hikers and hazardous gas sensors like methane sensor for workers in confined spaces. Additionally, the handheld node will have a display to show status updates. It will send data to the base station using LoRa technology.

For the base station, I will use an Arduino Uno R4 Wi-Fi along with a display to show data. The Wi-Fi capability of the Arduino Uno R4 can be used to send sensor data to the cloud for later inspection. The base station will receive data via LoRa technology.