Automatic Door Access System using Face Recognition for Automatic Authentication and Security Purposes
The purpose of this project is to develop an automatic facial recognition system that recognises people based on their facial features and automatically opens and closes the door in response. If the person's photograph is already stored in the system's database, it will recognise them and open
2025-06-28 16:25:24 - Adil Khan
Automatic Door Access System using Face Recognition for Automatic Authentication and Security Purposes
Project Area of Specialization Computer ScienceProject SummaryThe purpose of this project is to develop an automatic facial recognition system that recognises people based on their facial features and automatically opens and closes the door in response. If the person's photograph is already stored in the system's database, it will recognise them and open the door for them. The door will remain shut and the individual will be unable to access the premises if the person's photograph is not in the system's database. This technology will aid educational institutions and offices in maintaining attendance of students and employee. The system can also be used to automatically authenticate and verify candidates during entrance exams and aptitude tests. This system can be installed in a building for security purposes as well as to assist in criminal identification.
a) Developing a face-detecting automatic system to control door access;
b) The system will improve building security and eliminate the need for security personnel;
c) The system is user-friendly and cost-effective.
To achieve the goal of such a complex system, an experimental setup is required. The architecture of the setup is divided into six steps: face database creation, person detection and image acquisition, image processing, feature extraction from the image, comparison with the database, and door control.
Below we take a closer look at the architectural setup and how it works:
1. FACE DATABASE CREATION:
The first step in operating such a system is to create a database containing data about the office's staff or educational institute's students. The creation of this database is critical because it serves as the foundation for the entire door access control system.
2. PERSON DETECTION AND IMAGE ACQUISITION:
When a person enters, ultrasonic detectors installed at the door send a signal to the camera, which takes a picture of the person. The image acquisition process is complicated because the image must have negligible rotations, perfect lighting, and high image resolution in order for the person in the photo to be easily identified.
3. IMAGE PROCESSING:
The captured image is then processed to improve the image's quality, resolution, and pixels, as well as to remove any unnecessary light effects or interference in the display of the person's face.
4. FEATURES EXTRACTION:
Human features such as eyes, brows, face structure, lips, nose, and so on are extracted from the image after it has been processed. Features are extracted from an image because each person has a unique set of facial features that distinguishes them from one another, and these facial features aid in identifying the person who has arrived.
5. COMPARISON WITH THE DATABASE:
The image of the person is compared to the data in the database. The system will recognise the person if he or she is found in the database.
6. DOOR CONTROL:
If the system recognises the person, it will send a signal to the door, which will open automatically for the person while also recording his or her attendance. However, if the system is unable to identify the individual, the door will remain closed and the individual will be unable to enter the premises.
In today's digital and technological world, ensuring a person's attendance at school, university, or work place should be automatic. A manual process is prone to errors, and someone may provide false attendance. For this purpose, an automatic system is proposed that recognises the person and controls door access for people based on that. Face recognition is becoming more common. Developing an automated face detection system is thus only the first step toward a more secure future. This system can be enhanced further by incorporating facial recognition through CCTV cameras. This can then be used to gain access to schools, universities, and offices for students and employees. This can also be used in place of manual checking in entrance exams, job tests, aptitude tests, and other similar situations. The system can help with security because it can detect an unknown person entering a school or building.
Technical Details of Final Deliverable
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 74200 | |||
| Door Design | Equipment | 1 | 10000 | 10000 |
| Door Stand | Equipment | 2 | 2000 | 4000 |
| Raspberry Pi | Equipment | 1 | 30000 | 30000 |
| Pi Camera | Equipment | 1 | 3500 | 3500 |
| IR Sensor | Equipment | 2 | 1200 | 2400 |
| DC Motor | Equipment | 1 | 4000 | 4000 |
| DC Motor Driver | Equipment | 1 | 1200 | 1200 |
| Motor Gears and Pulley | Equipment | 2 | 1200 | 2400 |
| 6mm Belt | Equipment | 2 | 1800 | 3600 |
| Power Supply | Equipment | 1 | 1600 | 1600 |
| Power Module for Raspberry Pi | Equipment | 1 | 1500 | 1500 |
| Shipping/Transportation | Miscellaneous | 1 | 2000 | 2000 |
| Flex/Poster Printing | Miscellaneous | 2 | 1500 | 3000 |
| Thesis Printing | Miscellaneous | 2 | 2500 | 5000 |