Chapter 5: EDU PICO Attendance System

This project uses EDU PICO and HuskyLens' powerful face recognition to mark attendance. Simply walk by the system, and it'll identify you. A press of a button confirms your arrival or departure, with everything neatly recorded in a downloadable CSV file for easy tracking.
This chapter explores building a smart attendance system that uses face recognition for user identification.You'll learn : 

• Face Recognition with HuskyLens: Learn how to configure HuskyLens to recognize faces and identify individuals.
   

• User Management and Confirmation: Discover methods to store and manage user data. Implement a confirmation button to ensure attendance accuracy.
   

• Data Recording with EDU PICO: Explore how to record attendance data in a downloadable CSV file for easy tracking and analysis.

Tutorial Video

Tutorial Step

Step 1: Library Installation

Install the additional library required for this chapter here.

Step 2: Configuration Setup

Create a new notepad file and copy the provided code:

CIRCUITPY_WIFI_SSID = "Your-Wifi"

CIRCUITPY_WIFI_PASSWORD = "Wifi-Password"

Modify the SSID and Password with your Wi-Fi credentials and save the file as "settings" in CIRCUITPY.

Copy boot.py from source file here to your CIRCUITPY.

Step 3: Code 

Go to Line 53 and modify the code by replacing the person's face name.

Step 4: Face Learning

Use HuskyLens, go to “Face Recognition” to learn faces .

Step 5: Data Log Function

Enable the data log function to record attendance data.

Step 6: Testing the Program

Test the functionality by using Button A for check-in and Button B for check-out.

Step 7: Reboot your EDU PICO

Press RST button to reboot, and you’ll see CSV file appear. All the data was recorded inside the CSV file.