• Gaurav Haridas Jadhav
• Dhiraj Shahaji Shinde
• Aditya Gautam Hawale
• Prof. S. R. Ghuge

— Most doors square measure controlled by persons with the employment of keys, security cards, parole or pattern to open the door. The aim of this paper is to assist users for improvement of the door security of sensitive locations by victimization face detection and recognition. Face may be a advanced flat structure and desires sensible computing techniques for detection and recognition. This paper is comprised primarily of 3 subsystems: particularly face detection, face recognition and automatic door access management. Face detection is that the method of police investigation the region of face in a picture. The face is detected by victimization the viola Jones technique and face recognition is enforced by victimization the Principal part Analysis (PCA). Face Recognition supported PCA is usually brought up because the use of Eigenfaces.If a face is recognized, it's better-known, else it's unknown. The door can open mechanically for the better-known person because of the command of the microcontroller. On the opposite hand, alarm can ring for the unknown person. Since PCA reduces the size of face pictures while not losing vital options, facial pictures for several persons may be hold on within the info. though several coaching pictures square measure used, machine potency cannot be remittent considerably. Therefore, face recognition victimization PCA may be a lot of helpful for door security system than alternative face recognition schemes.

Viola-jones face detection method, PCA,Eigenvector, Covariance, Euclidean distance, Eigenface, microcontroller

"Automatic Door Lock System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.b193-b195, January-2022, Available :http://www.jetir.org/papers/JETIR2201126.pdf

"Automatic Door Lock System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppb193-b195, January-2022, Available at : http://www.jetir.org/papers/JETIR2201126.pdf