Pehchaan: A Touchless Attendance System

Abstract

With the Coronavirus pandemic taking its toll all over the world, and social distancing measures being adopted, there is an urgent need to digitise all the processes for the smooth functioning of organisations. Thus, Pehchaan presents a nocontact system for recording the attendance of entities by verifying face and voice. It makes use of low-cost ESP microcontrollers with a camera and microphone module to extract face measurements using a Deep Convolutional Neural Network and apply Mel Frequency Cepstrum techniques to the audio files. We verify the entities’ claim by comparing the similarity with the encodings stored in the database. We are using wifi networks to connect ESP with the backend server. Face and voice recognition together act as two-factor verification and an admin will be able to access the records of a particular day and time and thus would be able to capture the attendance without any manual effort.