The VideoCapture class of the org.opencv.videoio package contains classes and methods to capture video using the system camera. Capture the camera stream with OpenCV and display using Java libraries (awt/swing). If you have not gone through it yet, I would recommend you to go through it first. This library provides us with a great real time face detection algorithm using Haar Cascades. This article is in continuation of my earlier article called Face Recognition Using OpenCV in Java. We use face detection in robotics and also in biometric recognition like in this instructable Got stucked in several places. While writing Java code using OpenCV library, the first step you need to do is to load the native library of OpenCV using the loadLibrary(). The face recognition is a technique to identify or verify the face from the digital images or video frame. Now we want to do the same thing but in Java. A human can quickly identify the faces without much effort. Gist below explains how to use haar classifier in JavaCV. Face recognition and Face detection using the OpenCV. I detected the face in the image using opencv 2.4.10 in java I put my face detection code. Let’s go step by step and learn how to do it. In this tutorial for C++ we detected the faces and eyes on a input stream from a camera. Face Detection. Code loads classifier file haarcascade_frontalface_default.xml and uses cvHaarDetectObjects() to find faces in loaded image. OpenCV is an open source computer vision library that has tons of modules like object detection, face recognition, and augmented reality. Face Detection in Video Capture . #To save the trained model model.save('mask_recog_ver2.h5') How to do Real-time Mask detection . OpenCV for JAVA has a class called CascadeClassifier that implements the algorithm. 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