Design and development of an IoT- based face recognition smart access control system
| dc.contributor.author | Nnajiofor, George Anayo | |
| dc.date.accessioned | 2025-10-30T11:48:01Z | |
| dc.date.available | 2025-10-30T11:48:01Z | |
| dc.date.issued | 2025-04 | |
| dc.description | A Master's thesis on "IoT- based face recognition smart access control system". mItr contains pictures, mdiagrams and tables. | |
| dc.description.abstract | This thesis presents a smart IoT-based face recognition access control system. Initially, users must enter a password. If the password is correct, the door unlocks automatically; if incorrect, the system triggers an alarm, captures images of the user, and sends a security alert with the photos to the rightful owner via the Telegram application. The system captures the intruder's face and denies access to unauthorized users if the captured face does not match the stored one. It allows authorized users to enter and exit restricted areas and features real-time image capture and transmission of the intruder's photos. Methodology: The system uses face recognition technology with an ESP32 camera module connected to a solenoid lock via a DC relay. A 4x4 keypad was linked to the microcontroller for password entry. The ESP32 camera was integrated with the owner's Telegram account. The system connects to a network through a router or phone hotspot, providing global accessibility. Results: A functional prototype was developed, implemented, and tested in real-time, successfully sending intruder photos when incorrect passwords were entered. This system significantly enhances security by accurately identifying individuals based on unique facial features, reducing the risk of unauthorized access through stolen keys, access cards, or PIN codes, thus improving security for homes, offices, and other facilities. | |
| dc.identifier.citation | Nnajiofor, G. A. (2025). Design and development of an IoT- based face recognition smart acess control system. {Unpublished Master's thesis}, Federal University of Technology, Owerri | |
| dc.identifier.uri | https://repository.futo.edu.ng/handle/20.500.14562/2241 | |
| dc.language.iso | en | |
| dc.publisher | Federal University of Technology, Owerri | |
| dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| dc.subject | ESP32 Camera | |
| dc.subject | IoT | |
| dc.subject | RSSI | |
| dc.subject | MATLAB | |
| dc.subject | arduino IDE | |
| dc.subject | solenoid lock | |
| dc.subject | telegram application | |
| dc.subject | keypad | |
| dc.subject | password | |
| dc.subject | wifi | |
| dc.subject | department of electrical and electronics engineering | |
| dc.title | Design and development of an IoT- based face recognition smart access control system | |
| dc.type | Master’s Thesis |