Automatic Door Lock System by Face Recognition

Abstract

In this paper we have proposed face recognition door lock system using raspberry pi for security purpose. Implementation of the system is for monitoring whether any unknown person is entering in to the door. We have established communication with electronic devices through face detection with the help of Pi camera Raspberry Pi platform. For software coding Python and Open CV libraries are used. In order to get accurate and clear picture of an intruder we have proposed Haar classifier method for face detection. As soon as the person enters near the door, pi camera captures the image and face detection process is done then if it matches with database images then the door is unlocked otherwise a message with the picture of a person will be sent to the registered mobile through GSM and LAN network.

Best Machine Learning Model For Face Recognition in Home Security Application

“…The input image taken by the raspberry pi camera is converted to a grayscale image. After that, the face detection process is done with the Haar Cascade classifier [8]. If the video captures the face of people, the system crops the face image and then is processed the classification to recognize the face.…”

“…Criminal cases have increased by 7.3% in 2022 compared to previous year in Indonesia [1], so further prevention is needed to solve this problem. Many things have been done to improve home security, from adding monitoring systems such as CCTV [2]- [4], until developing smart lock doors to monitor who enters the house [5]- [8]. All these systems are supported by face recognition technology to monitor who is in the house.…”

“…After that, to get the face feature, face segmentation is executed. That feature is used to recognize many classification method options [2]- [5], [8]- [10]. Accuracy identification face becomes most important in the security system to prevent miss classification and make the system more reliable.…”

Facial recognition lock technology for social care settings: A qualitative evaluation of implementation of facial recognition locks at two residential care sites

“…Hospitals receive a higher volume of visitors than care homes or other residential care settings, where generally the same residents, staff and family members require daily access, compared with high turnover of patients within a hospital and larger staff workforces. In other FRLT work, previous research by Sander and Oo (21) and Yedulapuram et al (22) report on the design of facial recognition lock systems from a technical perspective, but lack any data on implementation, use and end-user perceptions. We aim to address this with novel insight into an evaluation of real-world implementation of FRLT into care settings.…”

Implementasi RFID pada Pintu Rumah Kos Berbasis Website

“…RFID TagSolenoid door lock adalah perangkat elektronika yang dapat digunakan untuk pengamanan pintu. Sama seperti slot pintu biasanya, Solenoid door lock memiliki dua kondisi yaitu Normally Open (NO) dan Normally Close (NC)(Yedulapuram, Arabelli, Mahender, & Sidhardha, 2020) Namun untuk mengendalikan dua kondisi tersebut, Solenoid door lock membutuhkan tegangan listrik sebesar 12 Volt untuk dapat bekerja. Tidak cukup tegangan listrik saja, untuk mengendalikannya Solenoid door lock harus terhubung pada suatu sistem kontrol.…”