HIGH-SECURITY DOOR ACCESS SYSTEM USING Open CV AND FINGERPRINT

Abstract

This article details the design and development of a high-security gateway framework. For 
verification, it employs the use of distinctive marks and facial recognition breakthroughs. System 
employs two-level verification as a part of this project progress. The first level employs a camera to 
verify the user's face, and the second level uses a unique fingerprint to verify their identity. If a 
gatecrasher attempts to enter the room by breaching the door without a face and unique finger 
imprint verification accelerometer sensor will operate and trigger a warning using the alarm ring.. 
This framework also includes an exceptional case: if the subject has been physically examined, just 
one level of confirmation (confront acknowledgement) is required, or two degrees of validation are 
required if the individual has not been physically tested. In this framework, 
The Haar course and Eigenfaces calculations are used for confront detection and acknowledgement, 
respectively. An entrance survey page is also included in the system. It has an inbuilt IOT server that 
sends the live images of the dark persons through email. In this way, the suggested High-security 
entrance get to framework is more safe, robust, and solid than other conventional frameworks since 
it is programmed and implanted.