Smart Automated Door Lock Using Fingerprint Scanner and Facial Recognition with Motion Sensor Thief Trap System and SMS Notification
Vol.3, No.1A
Keywords:
Security, Mechanical Locks, Door lock, fingerprint, face recognition, SMS NotificationAbstract
These days, people worldwide are concerned about the security of their houses. As a result, the importance of security has grown. It is really important in everyone's life and assets. Robberies continue to occur even when mechanical locks are used due to the ease with which these locks can be broken. As a result, creating locks that are tough to break is critical.
The results of the study in terms of reliability, efficiency, and features of the smart door locks showed that a smart door lock is an effective tool for safe security, as assessed by the respondents. Face recognition and fingerprint scanners both help as a security tool.
Quantitative research was used as a research design for this study. Using the study instrument, a survey questionnaire, the researchers surveyed to determine the respondents' perceptions of existing smart door locks regarding their reliability, efficiency, and features. The research focused on the way householders should strengthen their security. A descriptive quantitative analysis method was used to conduct this research and obtain the precise data the researchers required. The researchers surveyed the respondents, which led to the study's conclusion. In terms of reliability, the user can trust the researchers' creation because of the characteristics that assist them in maintaining home security. The users can trust the components that the researchers employed. In terms of efficiency, it is completely secure, and less maintenance is required because the system works well. For coding, the researchers utilized the Arduino IDE, and for project development, the researchers used the Fritzing tool. The prototype was built using these applications as the resources. Regarding features, the researchers have an R307 fingerprint module, keypad, esp32 CAM for facial recognition, 800L GSM module for SMS notification, and the PIR motion sensor for the thief trap.
