Project Hub /Artificial Intelligence & Edge ML/Face Recognition & Access Control/Smart Door Camera With Facial Recognition & Thermal Screening

Intermediate

RASPBERRY PI

₹5,000 – ₹15,000

3 – 6 Hours

Partial Kit

Smart Door Camera With Facial Recognition & Thermal Screening

A smart door camera system that combines facial recognition with automated thermal screening to check body temperature and manage premises entry.

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. 1,483.00
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: Temperature Sensor (generic)

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How It Works

The Smart Door Camera With Facial Recognition & Thermal Screening system integrates computer vision and non-contact temperature sensing to manage secure building entry. At the core of the setup is a Raspberry Pi 5 running Raspbian OS and Python 3, which coordinates data coming from a connected camera module and an MLX90614 temperature sensor using connecting wires. When a person approaches the door, the camera module captures a live video feed processed through OpenCV and the face-recognition library to identify known individuals. Simultaneously, the MLX90614 thermal sensor measures the person's body temperature without physical contact via infrared technology. The Python script evaluates both the facial identity and the thermal reading against predefined access thresholds. If an authorized face is recognized and the temperature reading falls within a safe, normal range, the system can grant entry and use the espeak software package to deliver automated, text-to-speech audio status updates. Conversely, if an unauthorized face is detected or an elevated temperature is flagged, the system can restrict access and provide appropriate audio feedback.

Why Build This

Develop a fully functional, integrated edge-AI and biometric screening node suitable for undergraduate engineering portfolios and capstone demonstrations.

Implement combined computer vision algorithms and digital sensor telemetry using Python 3 on a modern single-board computer.

Address real-world health and security challenges by prototyping automated access control systems for controlled environments like offices and laboratories.

Real-World Application

Automated temperature screening and access control for offices, schools, hospitals, and public facilities during health monitoring campaigns.

Skills You'll Learn

Computer vision pipelines

facial recognition algorithms

I2C sensor communication

infrared thermal measurement

text-to-speech synthesis

Python software development on Linux

Safety Precautions

Ensure proper sensor wiring and power supply handling for the Raspberry Pi and thermal sensor.

Technology Tags

PYTHON

OPENCV

FACIAL RECOGNITION

THERMAL SCREENING

MLX90614 SENSOR

ESPEAK

Frequently Asked Questions

Can this system run entirely offline without an internet connection?

Yes, once Python 3, Raspbian OS, OpenCV, and the face-recognition library are installed locally, the Raspberry Pi 5 can execute all facial processing and thermal screening locally on the edge.

How does the MLX90614 sensor communicate with the Raspberry Pi?

The MLX90614 typically uses the I2C communication protocol, requiring proper wiring to the corresponding serial data and clock pins on the Raspberry Pi board.

What is the purpose of the espeak software in this project?

Espeak acts as a text-to-speech engine that allows the Raspberry Pi to output audible status alerts, such as greeting recognized users or announcing temperature screening results.

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-00462