RFID and IoT Based Personalized Access System

The increasing demand for secure and intelligent access control systems has led to the integration of emerging technologies such as RFID, IoT, and biometrics. This project presents a comprehensive RFID and IoT-based personalized access system enhanced with face recognition to ensure robust security. The proposed system employs Radio Frequency Identification (RFID) for initial user authentication, followed by biometric verification through facial recognition using a Raspberry Pi. Upon arrival, the system prompts the individual on an LCD display to scan their ID card. The RFID reader scans the ID card or tag and verifies it against a stored database within the microcontroller. If the ID is valid, the system confirms the person’s identity by displaying their name and sends a unique, pre-assigned password to the user’s registered mobile number via a GSM module. In the event of an unauthorized card scan, the system alerts all authorized users through SMS, signaling an attempted breach. To add an extra layer of security, the system integrates facial recognition. The Raspberry Pi captures the face of the individual standing before the camera and compares it with the stored facial data of registered users. If a match is identified, the door unlocks, and the system acknowledges the user by displaying their name. If no match is found, the individual is marked as “Unknown” and access is denied. To handle the increased storage needs for facial data, an external storage device is connected to the Raspberry Pi. This dual-layer authentication system ensures that only authorized personnel can access secure areas, offering a combination of RFID technology for identification and facial recognition for biometric verification. The use of IoT technologies like GSM enhances real-time communication and alerts, making the system suitable for applications in residential buildings, offices, and high-security zones.