What data does facial recognition use?

Facial recognition is a way of recognizing a human face through technology. A facial recognition system uses biometrics to map facial features from a photograph or video. It compares the information with a database of known faces to find a match.

Is there a database for facial recognition?

Labeled Faces in the Wild is a database of face photographs designed for studying the problem of unconstrained face recognition. The database contains more than 13,000 images of faces collected from the web. Each face has been labeled with the name of the person pictured.

Can we use Yolo for face recognition?

The bounding box has 4 values which includes center coordinates (x, y) and width and height of bounding box. Yolo can also be used for face recognition by training the images on a proper well labelled dataset with bounding boxes in yolo format. Yolo can use with external as well as a webcam by using open cv.

Can OpenCV do facial recognition?

OpenCV (Open Source Computer Vision) is a popular computer vision library started by Intel in 1999. OpenCV 2.4 now comes with the very new FaceRecognizer class for face recognition, so you can start experimenting with face recognition right away.

How to create a custom face recognition dataset?

Figure 1: Using OpenCV and a webcam it’s possible to detect faces in a video stream and save the examples to disk. This process can be used to create a face recognition dataset on premises. This first method to create your own custom face recognition dataset is appropriate when:

Why is OpenCV good for real time face recognition?

OpenCV was designed for computational efficiency and with a strong focus on real-time applications. So, it’s perfect for real-time face recognition using a camera. To create a complete project on Face Recognition, we must work on 3 very distinct phases:

How does facial recognition work in attendance system?

This will return image, which would be converted to gray image and faces would be detected further.

How to do face detection With OpenCV and Caffe?

Figure 1: The OpenCV repository on GitHub has an example of deep learning face detection. When using OpenCV’s deep neural network module with Caffe models, you’ll need two sets of files: The .prototxt file (s) which define the model architecture (i.e., the layers themselves)