In this session, we are going to see a new project. Face mask detection based door or Gate Entry System. This system will open the Gate only when, person wears the mask properly. If there is No Mask, then No Entry. We will use Raspberry Pi 4 development board, Python programming, Deep Learning Techniques, We will also use different computer vision libraries like, Tensor flow, Keras etc.
Python and CPP codes are given above.
🌐 YouTube Video Links -
Raspberry Pi, OpenCV Project - No Mask, No Entry
Tutorial - Raspberry Pi Interfacing with EM18 RFID Reader
📜 C Libraries
🌐 http://wiringpi.com/download-and-install/
⏩ wiringPi updated to 2.46 for the new Pi v3+
🌐 http://wiringpi.com/wiringpi-updated-to-2-52-for-the-raspberry-pi-4b/
⏩ wiringPi updated to 2.52 for the Raspberry Pi 4B
🌐 http://wiringpi.com/wiringpi-updated-to-2-52-for-the-raspberry-pi-4b/
⏩ Installation of Code::Blocks IDE
sudo apt-get install codeblocks
📜 Python Libraries
Import time and Serial library from program itself
import time
import serial