How to Train your Raspberry Pi for Facial Recognition
When you unlock your phone (FaceID) or allow Google or Apple to sort your photos, you are using facial recognition software. Many Windows PCs also let you use your face to log in. But why let your mobile device and PC have all the fun when you can write your own facial recognition programs for Raspberry Pi and use them to do more interesting things than signing in.
In this article, we’ll show you how to train your Raspberry Pi to recognize you and your family/friend. Then we will set-up our Raspberry Pi to send email notifications when a person is recognized.
For Raspberry Pi facial recognition, we’ll utilize OpenCV, face_recognition, and imutils packages to train our Raspberry Pi based on a set of images that we collect and provide as our dataset. We’ll run train_model.py to analyze the images in our dataset and create a mapping between names and faces in the file, encodings.pickle. After we finish training our Pi, we’ll run facial_req.py to detect and identify faces. We’ve also included additional code to trigger an email to yourself when a face is recognized.
