IoT implementation of multi-module automated lock system using facial and voice recognition

Khariman, Muhammad Nur Iman (2019) IoT implementation of multi-module automated lock system using facial and voice recognition. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This project is about an IoT Implementation of multi-module automated lock system using facial and voice recognition-based totally on Raspberry pi. Lock security device has been launched for many years but most of them are simply a CCTV, IP camera or door sensor alert system. It may want to be more environment-friendly with makes use of face recognition. It will affirm the individual facial and voice that goes near to the recognition modules. Only the people who match the identification with the dataset and enter the correct password have the right to unlock. A cellular application telegram, photo processing technique Eigenfaces and voice method ASR primarily based have been involved in this system. An ultrasonic sensor is used to notify the individual presence between the door. Lock system will only begin to function when any individual goes close to the door. An alert message and image taken will send to owner mobile smartphone by telegram via the internet when the face recognition algorithms observe a stranger comes near the door and additionally a buzzer will be set off to act as an alarm system.

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