Abstract: There are numerous challenges facing a nation, and security concerns are among the most important ones. Although face detection and recognition technology has many applications, its main uses are in the fields of banking, document security, smart home security, autonomous face detection, automotive security, face detection for surveillance applications, multi-face recognition, etc. These technologies are critical given the state of the nation today. Facial recognition is thought to be the most accurate and dependable technology available for identifying individuals for security purposes. One of the main problems we are currently dealing with is protecting thieves, despite the fact that we have numerous methods for apprehending the offenders, we are unable to manage the risk of escaping thieves.
Here, we provide a solution to these issues by putting forth the notion of facial recognition using machine learning-related Python software. Here, we may use facial recognition to identify the robbers and apply face detection algorithms to secure the lockers. The door will be unlocked if the person at the door is identified. Automatic email notice to unauthorized users has been accomplished by sending an SMS and a security alert email to the authorized user's email address. This method can be used to enhance security systems without causing any issues because it is more dependable, efficient, and uses very little data.
Keywords: Face detection, face recognition, security, Open CV, Python, Home security system, Door lock access.
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DOI:
10.17148/IJARCCE.2024.13648
