Design and validation of CAMERA INTEGRATION FOR IOT AUTHENTICATION

<p>Nowadays, people are quite worried about being able to keep their personal information safe from prying eyes, especially in places where theft, data breaches, or physical danger might occur. Because of their ease of theft, duplication, or loss, traditional security measures like keys, swipe cards, or passwords are becoming more and more perceived as insecure. This project presents a smart authentication system that utilizes face recognition for secure access management, which is based on the Internet of Things (IoT), to overcome these restrictions. A Raspberry Pi serves as the system's core processing unit and is constructed around it. An SD card stores the captured face photos in real-time, a Pi Camera operates an electronic lock, and an LCD display gives you visible feedback right away. The system checks the taken picture against a database of stored faces using the Open CV package in Python. If the faces match, the door is unlocked via the relay; otherwise, the owner is notified and the picture is saved for future reference. Displayed on the LCD are messages like "Access Granted" or "Access Denied" to enhance user communication. Additionally, the system records every attempt at access to the SD card. By doing away with the need for actual keys or PINs, this method lessens the likelihood of human mistake and security breaches. In addition to being small, affordable, and versatile, it may be used in a variety of settings, such as homes, workplaces, laboratories, and restricted areas. Additional biometric techniques, online storage, and connectivity with mobile apps are all possibilities for future improvements. An intelligent, automated, and dependable answer to today's security problems is what the project is all about.</p>