An Efficient Facial Recognition Based Access Control of Door and Home Security system

Kommu Renuka, Shekar Boddupally

Abstract


This paper deals with the idea of secure locking automationutilizing IOT for door unlocking system to provide essentialsecurity to our homes, bank lockers and related controloperations and security caution through the GSM module. This paper alsopresents a computer vision system for visually impaired. This system understands face around the subject up to 1 feet in front, left and right direction using a camera module.This proposed system uses Raspberry Pi board to process real timedata collected by camera module. The module contains a secured facerecognizer for automatic door unlocking. The camera catchesthe facial picture and compares it with the image which isstored in the database. If the picture is found in the databasethen the door lock opens otherwise it relevant pre-recorded speechmessage stored in memory is invoked. This pre-recorded speech messages are invoked using easy text to speechsoftware which is installed in the raspberry pi board. Such speech messages are conveyed to the visually impaired using earphone or speaker.


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