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dc.contributor.authorTamim, Kanij Rejwana
dc.date.accessioned2025-06-25T06:10:45Z
dc.date.available2025-06-25T06:10:45Z
dc.date.issued2025-09-19
dc.identifier.urihttp://suspace.su.edu.bd/handle/123456789/1570
dc.description.abstractSafety is a fundamental concern in today’s world, especially when it comes to protecting our homes from unauthorized access and potential threats. With the increasing need for advanced security systems, traditional locks and keys no longer offer the level of protection required to safeguard personal property. To address these challenges, this project focuses on enhancing home security using face recognition technology combined with real-time intruder alerts, creating an automated, efficient, and secure solution. The system is designed to automatically identify authorized individuals and alert homeowners of potential intruders, offering both convenience and safety. The project utilizes a combination of cutting-edge hardware and software components to achieve this goal. The hardware includes an ESP32 Cam, which captures and processes facial data, and an SG90 servo motor that controls the door’s locking mechanism based on facial recognition. To provide instant feedback and notifications, a buzzer is used to alert the homeowner in case of unauthorized access. The system’s connectivity is managed via an FTDI Adapter, and there are reset switches for Wi-Fi and system management. The technical approach includes a backend powered by FastAPI for server-side logic and SQLite managed through Prisma ORM to store and manage facial recognition data. The face recognition Python library, with an accuracy of 97%, is used for identifying faces and granting access. Additionally, the system employs machine learning (ML) and deep learning (DL) techniques to improve recognition accuracy under various conditions. When someone approaches the door, the system attempts to recognize the individual’s face. If the homeowner’s face is detected, the door unlocks automatically within 3-10 seconds. In the event of an unrecognized face, the system triggers an alarm to alert the homeowner of a potential security threat. This innovative combination of technologies ensures a high level of security and convenience, revolutionizing home protection.en_US
dc.language.isoen_USen_US
dc.publisherSonargaon University (SU)en_US
dc.relation.ispartofseries;CSE-250221
dc.subjectFace Recognition and Real Time Intruder Alertsen_US
dc.titleInnovation and Design of Enhanced Home Security Using Face Recognition and Real Time Intruder Alertsen_US
dc.typeThesisen_US


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