In this captivating video, we present our innovative creation: a fall detection device utilizing the MPU6050 Inertia Measurement Unit (IMU) and the Wi-Fi-enabled ESP32 microcontroller. This groundbreaking device is designed to enhance the safety and well-being of individuals by instantly notifying their family members in the event of a fall, regardless of the cause.
Throughout the video, we provide an in-depth look into the development and functionality of our fall detection device. We begin by explaining the sensor data flow process, demonstrating how the MPU6050 IMU accurately detects the orientation and movement of the person wearing the device. The intelligent algorithm analyzes this data to detect sudden falls and triggers an alert mechanism.
Next, we delve into the working principle behind our device, shedding light on the intricate mechanisms that allow it to distinguish between regular movements and potentially dangerous falls. Through a clear and concise explanation, viewers will gain a comprehensive understanding of how our device effectively detects falls in real-time.
To further enhance the viewer’s comprehension, we showcase a detailed circuit diagram, unveiling the components and connections involved in our fall detection device. This visual representation will aid enthusiasts, developers, and researchers alike in replicating or building upon our design.
Moreover, we believe in the importance of practical validation, which is why this video includes a captivating field trial demonstration. Witness firsthand the effectiveness of our fall detection device as it alerts a family member through the Signal application, ensuring prompt assistance is provided to the individual in need. The real-life scenarios depicted in the video illustrate the reliability and accuracy of our device in detecting falls.
Project member:
Tapas Kumar Maiti (PI)
Nancy Patel
Shivang Kacha
Subhadeep Paul
This project is funded by The Gujarat Council on Science and Technology (GUJCOST).
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