Abstract
Security issues are an important part of everyday life. A vital link in security chain is the identification of users who will enter the room. This paper describes the prototype of a secured room access control system based on face recognition. The system comprises a webcam to detect faces and a solenoid door lock for accessing the room. Every user detected by the webcam will be checked for compatibility with the database in the system. If the user has access rights then the solenoid door lock will open and the user can enter the room. Otherwise, the data will be sent to the master user via Android-based smartphone that installed certain applications. If the user is recognized by the master user, then the solenoid door lock will be opened through the signal sent from the smartphone. However, if the user is not recognized, then the buzzer will alert. The main control circuit on this system is Raspberry pi. The software used is OpenCV Library which is useful to display and process the image produced by webcam. In this paper, we employ Haar Cascade Classifier in an image processing of user face to render the face detection with high accuracy.
Highlights
The security aspect is needed in many areas of life today
This paper describes the prototype of a secured room access control system based on face recognition
If the face which sent to Telegram can be recognized by the master user of the room, the door will open after the master user sent the command signal into the solenoid door lock
Summary
The security aspect is needed in many areas of life today. The privacy factor influences the importance of a security system. This paper describes the prototype of a secured room access control system based on face recognition. In the face recognition systems, the facial detection is an initial step to capture an image of the user to be processed. The door lock stays close unless the master user makes a decision to switch on the door lock due to a certain condition Such mechanism was made to assure that only authorized user can access the room to improve the security aspect. The proposed system employs Raspberry Pi as the main control unit and OpenCV as an open source library for processing the image produced by webcam. Some related works regarding the OpenCV application in image processing include Green [9], Shen et al [10], Sharma and Shah [11], Mustafa and Khairul [12], and Emami and Suciu [13], for name a few.
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