DESCRIPTION
In today's world, security concerns are rising due to the vulnerabilities of traditional
systems like keys, which can be lost or duplicated, and PINs, which can be shared
or forgotten. Additionally, the need for contactless solutions has become more
prominent due to health and hygiene concerns in shared spaces. Our project
addresses these issues by integrating face recognition for secure, touchless access
and a keypad backup for added reliability. By combining modern technology with a
scalable design, this solution offers a smarted, more efficient, and hygienic
alternative to conventional access control systems.
BACKGROUND ART
The smart door unlocking system uses Raspberry Pi that combines face recognition
and a backup keypad for secure access to capture user's image and unlock door if
the face is recognized. If unrecognized, the user can enter a PIN on the keypad for
backup au The process include:
1:- -Motion-Detection: The-PIR sensor detects motion-near the-door,-activating_
the system.
2. Image Capture: The camera captures an image of the visitor when motion is
detected.
3. Face Recognition: The captured image is processed by the face recognition
module to check if the face matches any authorized entries in the database.
4. Decision Making: The Raspberry Pi evaluates the recognition result and·
makes a decision.
5. Unlocking the Door: If the face is recognized, the Raspberry Pi sends a
signal to the servo motor, unlocking the door.
6. PIN Entry (Backup Authentication): If face recognition fails, the user is
prompted to enter a PIN on the keypad for manual authentication.
7. System Response: Upon successful authentication (either face or PIN), the
door is unlocked, and the system logs the event for security.

NOVEL SYSTEM AND METHOD
The present invention introduces a novel system for contactless security system
using face recognition utilizing a low-cost, edge computing device, specifically the
Raspberry Pi. The system combines face recognition and keypad-based door unlock
system as a failsafe if the face is unrecognized. A motion sensor is used for activating
camera reducing power consumption and performance optimization.

S.CLAIMS:
We claim,
1. Innovative Integration of Multi-Technology Systems: The project combines face
recognition, motion detection, and keypad backup authentication into a unified, automated
door unlocking system, offering a unique blend of technologies for secure access control.
2. Custom Raspberry Pi-Based Solution: The use of the Raspberry Pi 3B+ as the core
processing unit for facial recognition and decision-making is a custom implementation,
providing a low-cost yet powerful solution tailored for real-time security applications.
3. Advanced Face Recognition Integration: By using a USB camera and a custom face
recognition module, the system accurately identifies authorized individuals and
automatically grants or denies access, enhancing security with biometric authentication.
4. Touchless Authentication for Hygiene and Convenience: The system's reliance on
facial recognition for access control" eliminates the need for physicality contact addressing
growing health concerns around shared spaces and contact-based systems, especially in
public or office environments.
5. Customizable Security Features: The implementation of a 4x4 matrix keypad as a
backup authentication method offers an additional layer of security, ensuring that the
system remains functional even if face recognition fails, which is a thoughtful and unique
addition to the design.
6. Real-Time Access Control: The seamless integration of motion sensors, real-time image
capture, and decision-making through the Raspberry Pi offers a highly responsive, secure,
and efficient access control solution, ensuring immediate access for authorized users while
maintaining a high level of security.