Saturday 20th of April 2024
 

Gesticulation Based Smart Surface with Enhanced Biometric Security Using Raspberry Pi


R. Gayathri, E. Roshith, B. Sanjana, S. Sanjeev Kumar and R. Shyamala

This system converts any flat surface into a smart gesture recognition system with the help of digital image processing. The hand movements are recognized using Open CV software and it is processed in Raspberry Pi and the actuating signals are given to Arduino to control a number of infrared based devices and to visual studio to control mouse pointer on computer. The privacy is enhanced with the help of fingerprint Biometrics, and the requirement of flat surface makes it possible to capture the movement with greater accuracy. Here we can control many devices from anywhere inside the house. The Biometric will allow only restricted personnel to access the devices and a time-out feature along with it will further enhance the privacy.

Keywords: Image processing, Open CV, Raspberry Pi, Arduino, Biometrics

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ABOUT THE AUTHORS

R. Gayathri
Department of Electronics and Communication, Sri Venkateswara College of Engineering, Sriperumbudur,Tamil Nadu ,602117, India

E. Roshith
Department of Electronics and Communication, Sri Venkateswara College of Engineering, Sriperumbudur,Tamil Nadu ,602117, India

B. Sanjana
Department of Electronics and Communication, Sri Venkateswara College of Engineering, Sriperumbudur,Tamil Nadu ,602117, India

S. Sanjeev Kumar
Department of Electronics and Communication, Sri Venkateswara College of Engineering, Sriperumbudur,Tamil Nadu ,602117, India

R. Shyamala
Department of Electronics and Communication, Sri Venkateswara College of Engineering, Sriperumbudur,Tamil Nadu ,602117, India


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