This project implements a real-time face recognition system using OpenCV, DeepFace, and MTCNN. The system detects faces via a webcam, verifies them against stored reference images, and sends signals ...

We will use Edge Impulse to train the AI. An Arduino library will be exported from Edge Impulse once the training is successful. The code will be uploaded to the ESP32-CAM Module. Finally, we will ...

7. Fig. 7: Robot head with OLED eyes Coding has two parts: Coding for the robot’s eyes using Arduino and coding for face recognition using Raspberry Pi. Coding for robot’s eyes. Before beginning with ...

main file that takes care of the 2 step authentication using QR code and face recognition, communication with Arduino(Open or Close the door), user interaction using text to speech etc.

Here ESP32-CAM is programmed using Arduino IDE. For that, we have to install the ESP32 add-on on Arduino IDE. We already have an example code from ESP32 cam video streaming and face recognition. Open ...

Well we are getting there, and this project from a group of Cornell University students titled, “FPGA kNN Recognition” is a graceful attempt at facial recognition. For the uninitiated ...

It has a face recognition feature for noting the entry and exit ... Here in this project, you can either use 1 Arduino or 2 Arduino. if you are using 1 Arduino then the SPI and I2C components connect ...