Goal . Face Detection. Step 1: Load the OpenCV native library. The face recognition is a technique to identify or verify the face from the digital images or video frame. learn how to detect faces in video capture. I detected the face in the image using opencv 2.4.10 in java I put my face detection code. Note If you don't know how to capture video from camera, please review Getting Started with Videos. This article is in continuation of my earlier article called Face Recognition Using OpenCV in Java. Let’s go step by step and learn how to do it. Capture the camera stream with OpenCV and display using Java libraries (awt/swing). #To save the trained model model.save('mask_recog_ver2.h5') How to do Real-time Mask detection . However, there is one issue. It is an effortless task for us, but it is a difficult task for a computer. In this tutorial for C++ we detected the faces and eyes on a input stream from a camera. A human can quickly identify the faces without much effort. Such XML file is provided with opencv package for face detection. Gist below explains how to use haar classifier in JavaCV. Basically translate this C++/OpenCV tutorial into Java/OpenCV. OpenCV is an open source computer vision library that has tons of modules like object detection, face recognition, and augmented reality. This library provides us with a great real time face detection algorithm using Haar Cascades. OpenCV for JAVA has a class called CascadeClassifier that implements the algorithm. Now we want to do the same thing but in Java. We use face detection in robotics and also in biometric recognition like in this instructable Got stucked in several places. Face Detection in Video Capture . Face recognition and Face detection using the OpenCV. In order to create a face detector I used OpenCV. 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(). 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