Unauthorised Access Personal Devices

Project Code :TCPGPY1885

Objective

Develop a facial recognition system to identify unauthorized device access, enhancing security and aiding in swift identity verification.

Abstract

The concept of unauthorized access refers to when an individual enters a device, system, or premises without the owner's permission. This is a prevalent issue, and various methods have been devised to address such problems. However, there is still room for improvement in effectively handling unauthorized access.This project aims to enhance the capability of existing security devices. Our proposed method incorporates an advanced approach designed to improve the efficiency and cooperation of the entire security system. This new approach focuses on increasing the effectiveness of identifying and managing unauthorized access.In our work, we developed an application coupled with a device specifically to prevent unauthorized access by unknown individuals into premises. The application is designed to notify the relevant individuals whenever an unknown person attempts to enter, ensuring proactive measures can be taken.

Keywords: Access, Unauthorized, Application, Deep Learning, Face Detection.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

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