Smart IoT feet identification system using arduino and blynk

Mohamad Yussop, Siti Nur Asyiqin (2020) Smart IoT feet identification system using arduino and blynk. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Smart IoT Feet Identification System using Arduino and Blynk Apps is a system use to measure the accurate foot size without doing much work and at the same time determine the pressure on one's feet. This additional function may help in analyzing the interaction between supporting surface and the foot where this can also be an assessment in determining any health problem in the future. The first approach will use Ultrasonic Sensor to detect foot accordingly and act as a ruler between a certain length. Second approach would be using Force Sensitive Sensor as a pressure sensor to detect any physical load given by the human feet. Both of this sensor will then give input to the micro controller. This is the third approach, Arduino. Arduino MKR1000 will receive the data from the sensor, convert it thru Analog Digital Converter (ADC) and produce desire output such as UK standard size for shoes and Pascal unit for pressure. The last approach is by using Wi-Fi module that will act as a platform for the controller to transfer the data into the Blynk Apps Inventor and display it in a real-time tracking data. The system can be turn on and off with a simple press of a push button, the sensor will detect an object and produce the signal with the help of Arduino as a controller and display it in LCD and in real-time tracking of Blynk apps.

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