A Multi featured Monitoring Spy System

DOI

No DOI

Published In

Volume 3, Issue 6 (2022)

Published Online

November-December 2022

Pages

89-91

Article Type

Research Article

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Abstract: The most important security requirements of offices, schools, colleges, and businesses require biometric identification with his face. This paper aims to identify a person through face recognition and they give all the details about the person. Face recognition are most useful for security purpose and multidimensional problem, Main Principals Components Analysis based on open cv, Python, is used for face matching decisions. It is a very important part of face verification. The system which converts facial images to feature characteristics of initial training database images is designed in Open CV in python. Facial features are extracted from the face. Eigenvalues are calculated and represented as an Eigenvector. Using the Euclidian distance method, an unknown face image and a database image are compared. The recognized facial image has a minimum Euclidian distance from the database images. When the face is recognized by the Face detection system, open CV , python, or MATLAB Code it will send an SMS to the authorized person using the GSM module and an alarm will be run. Security system using MATLAB and Embedded system design is cost-effective, reliable, and highly accurate, when the face is matched then automatically opens the system, door, and office gate.