SECURE SMART DOOR LOCK FEATURING FACIAL RECOGNITION

Abstract

Abstract: Identity fraud has become a big concern in today's society which increasing number of risks. A face recognition system must be built to prevent these thefts and identity fraud. For the purposes of security and monitoring, face recognition is critical. As a result, an efficient and cost- effective method is required. This project's goal is to create a face recognition-based security access control system. Open CV libraries and the Python programming language are utilized to improve accuracy and efficiency. The Raspberry Pi, an embedded device, is used for training and identification. The tracking of people who enter or leave the house is the most key component of any home security system. Instead, then to use passwords or pins to take account of it, unique faces can be used and they're a biometric characteristic. These are intrinsic and cannot be easily changed or taken. Face detection can be used to increase the level of security. The proposed facial recognition door lock security system was created to prevent robbery in high-security places such as the home with less power consumption and a more dependable independent security device for both intruder detection and door security. The Raspberry Pi circuit is used to power this system.