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RASPBERRY PI

₹5,000 – ₹15,000

3 – 6 Hours

Partial Kit

Home Quarantine Using Face Recognition

A smart home quarantine system that uses a Raspberry Pi for face recognition to allow only authorized family members to enter while ensuring automatic hand sanitization.

Originally published on ElectronicsForU

View original tutorial

Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

Raspberry Pi 3 - Model B+ 1.4Ghz 64-bit quad-core Processor with 1 GB Ram (Original) Rs. 9,810.00
ESP32 CAM WiFi Module Bluetooth with OV2640 Camera Rs. 810.00
Ultrasonic Sensor Module HC-SR04 Rs. 89.00
TowerPro SG90 Mini Servo – 180 degree Rotation – Standard Quality Rs. 179.00
Jumper Wire 10 Pin Male To Male 20cm Rs. 45.00
400 Points Mini Solderless Prototype PCB Breadboard High Quality Rs. 89.00
MB102 Adjustable Breadboard Power Supply Module (3.3V & 5V) for Arduino & Raspberry Pi Rs. 139.00
Jumper Wire 10 Pin Male To Female 20cm Rs. 45.00

Selected: Rs. 0.00

We don't carry yet: Sanitizer dispenser mechanism

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How It Works

The Home Quarantine Using Face Recognition system operates as an integrated access control and hygiene station powered by a Raspberry Pi 5 running Raspbian OS. When a person approaches the entryway, the ultrasonic sensor (such as an HC-SR04) continuously emits high-frequency sound waves to measure the distance of the user, waking up the system when someone enters the detection threshold. Once triggered, the attached camera module captures a live video feed of the user's face. The Raspberry Pi processes this visual data using Python alongside specialized computer vision and machine learning libraries including OpenCV, dlib, keras, and the face_recognition framework. These libraries extract facial landmarks and compare the captured facial features against a pre-encoded database of authorized family members. If the system matches the face successfully, a script utilizing gpiozero signals the servo motor to unlock or open the entryway mechanism, while the espeak library may provide audio feedback or instructions. Concurrently, the system coordinates an automated sanitizer dispenser mechanism to ensure mandatory hand sanitization takes place. If an unrecognized face is detected, access remains restricted, and the entry mechanism stays locked, maintaining secure quarantine protocols without requiring manual physical contact.

Why Build This

Gain hands-on experience deploying complex machine learning and computer vision pipelines on edge hardware like the Raspberry Pi 5.

Design and prototype an automated cyber-physical system integrating digital facial recognition logic with electromechanical actuators and sensors.

Implement real-world smart home security and automated hygiene protocols applicable to residential or clinical entry control.

Real-World Application

Useful for residential homes, hospitals, and offices during quarantine or pandemic situations to ensure security and enforce mandatory hand sanitization before entry.

Skills You'll Learn

Computer vision implementation

Facial recognition pipeline configuration

Ultrasonic distance sensing

Servo motor actuation

General-purpose input/output (GPIO) control

Python asynchronous scripting

Safety Precautions

No specific precautions noted for this build — always follow general electronics safety practices.

Technology Tags

PYTHON

OPENCV

DLIB

FACE RECOGNITION

ULTRASONIC SENSOR

SERVO MOTOR

GPIO

Frequently Asked Questions

Can this project run offline without an internet connection?

Yes, all facial recognition processing, sensor reading, and motor actuation occur locally on the Raspberry Pi 5 board using pre-loaded Python libraries and stored image encodings.

What is the primary role of the ultrasonic sensor in this setup?

The ultrasonic sensor acts as a proximity trigger to detect when a person is standing close to the entryway, waking up the camera module and facial recognition script to conserve processing power.

How does the Raspberry Pi control the sanitizer dispenser and entry mechanism?

The Raspberry Pi utilizes its GPIO pins, managed via the gpiozero Python library, to send precise control signals and Pulse Width Modulation (PWM) to the servo motor and mechanical dispenser interface.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

Kitkraft Project Hub — curated from the maker community, credited at the source.

PRJ-00187