Facial Recognition Security System
Last updated
Last updated
This project focuses on developing a face recognition program capable of identifying human faces in images and determining if faces in different images are the same person. It involves comparing facial features and storing patterns in a database, teaching data management through adding or deleting entries. The system will be upgraded to perform real-time recognition and integrate with hardware for practical use.
The following components will be prepared in the kit for this project:
Breadboard
STEPico development board
Multiple dupont wires
1 SG90 servo
1 Buzzer
A USB-C cable
This project comes with a detailed 80-page tutorial packed with step-by-step instructions and helpful illustrations. It walks you through the assembly process and dives into more advanced topics like how microcontrollers work, coding with MicroPython, and understanding key electronic components and sensors. Whether you're just starting out or looking to deepen your knowledge, this guide makes complex ideas easy to follow and fun to learn.
To start programming on the Cursor IDE for your Raspberry RP2040 microcontroller project, ensure you have Python version 3.9 or 3.10 installed. You'll need to set up your virtual environment with the following command:
The Employee Management System is an essential component for maintaining and updating our facial recognition database. Its key functionalities include:
Displaying a comprehensive list of all registered employees
Facilitating the deletion of employee records when necessary
Enabling the editing of employee names while preserving their associated facial data
Ensuring persistent storage and efficient retrieval of the employee database
This program directly supports our main facial recognition program (face_detect.py) by ensuring that it always has access to the most current and accurate employee information. The Employee Management System allows for ongoing updates to the database, which is critical for maintaining the effectiveness of our facial recognition capabilities over time.
The hardware component is built around a microcontroller that interfaces with several peripherals, including a display screen, LEDs, a servo motor, and a buzzer. This setup allows the system to provide visual feedback, control access, and alert users or administrators when necessary. The microcontroller communicates with the main facial recognition software, receiving status updates and personnel information, which it then translates into physical actions and visual displays.
After you complete the project, it looks like the following:
When the program detects you, the buzzer remains silent, and your name is displayed on the
When the program fails to detect you, the buzzer will sound, and "unknown personnel present" will appear on the LCD screen.
the Artificial Intelligence Learning (AI) + Machine Learning Kit
Instruction and resources
