{"id":4210,"date":"2023-11-04T23:14:08","date_gmt":"2023-11-04T23:14:08","guid":{"rendered":"http:\/\/localhost:10003\/how-to-create-a-face-recognition-app-with-react-and-face-api\/"},"modified":"2023-11-05T05:47:57","modified_gmt":"2023-11-05T05:47:57","slug":"how-to-create-a-face-recognition-app-with-react-and-face-api","status":"publish","type":"post","link":"http:\/\/localhost:10003\/how-to-create-a-face-recognition-app-with-react-and-face-api\/","title":{"rendered":"How to Create a Face Recognition App with React and Face API"},"content":{"rendered":"<p>In this tutorial, we will learn how to create a face recognition app using React and the Face API. Face recognition is a technology that can identify and verify the identity of a person based on their unique facial features. The Face API is a powerful library that provides various convenient methods for implementing face recognition in your applications.<\/p>\n<p>By the end of this tutorial, you will have a basic understanding of how face recognition works and how to implement it in a React application using the Face API.<\/p>\n<h2>Prerequisites<\/h2>\n<p>To follow this tutorial, you will need:<\/p>\n<ul>\n<li>Basic knowledge of JavaScript and React<\/li>\n<li>A code editor of your choice<\/li>\n<li>Node.js and npm installed on your machine<\/li>\n<\/ul>\n<h2>Setting up the React Application<\/h2>\n<p>Let&#8217;s start by creating a new React application. Open your terminal and run the following command:<\/p>\n<pre><code>npx create-react-app face-recognition-app\n<\/code><\/pre>\n<p>This will create a new directory called <code>face-recognition-app<\/code> with all the necessary files for a basic React application.<\/p>\n<p>Now, navigate to the newly created directory:<\/p>\n<pre><code>cd face-recognition-app\n<\/code><\/pre>\n<p>To start the React development server, run the following command:<\/p>\n<pre><code>npm start\n<\/code><\/pre>\n<p>You should see the default React application running at `http:\/\/localhost:3000`.<\/p>\n<h2>Installing Dependencies<\/h2>\n<p>The next step is to install the necessary dependencies for our face recognition app. We will need the <code>face-api.js<\/code> library to perform face recognition tasks. Run the following command to install it:<\/p>\n<pre><code>npm install face-api.js\n<\/code><\/pre>\n<p>This will install the <code>face-api.js<\/code> library in our application.<\/p>\n<h2>Loading Face API Models<\/h2>\n<p>Before we can start using the Face API, we need to load the necessary face detection and face recognition models. Create a new folder called <code>models<\/code> inside the <code>public<\/code> folder, and download the following models into the <code>models<\/code> folder:<\/p>\n<ul>\n<li><a href=\"https:\/\/raw.githubusercontent.com\/justadudewhohacks\/face-api.js\/master\/weights\/face_detection_model-weights_manifest.json\">face_detection_model-weights_manifest.json<\/a><\/li>\n<li><a href=\"https:\/\/raw.githubusercontent.com\/justadudewhohacks\/face-api.js\/master\/weights\/face_detection_model-shard1\">face_detection_model-shard1<\/a><\/li>\n<li><a href=\"https:\/\/raw.githubusercontent.com\/justadudewhohacks\/face-api.js\/master\/weights\/face_detection_model-shard2\">face_detection_model-shard2<\/a><\/li>\n<li><a href=\"https:\/\/raw.githubusercontent.com\/justadudewhohacks\/face-api.js\/master\/weights\/face_landmark_68_model-weights_manifest.json\">face_landmark_68_model-weights_manifest.json<\/a><\/li>\n<li><a href=\"https:\/\/raw.githubusercontent.com\/justadudewhohacks\/face-api.js\/master\/weights\/face_landmark_68_model-shard1\">face_landmark_68_model-shard1<\/a><\/li>\n<li><a href=\"https:\/\/raw.githubusercontent.com\/justadudewhohacks\/face-api.js\/master\/weights\/face_landmark_68_model-shard2\">face_landmark_68_model-shard2<\/a><\/li>\n<li><a href=\"https:\/\/raw.githubusercontent.com\/justadudewhohacks\/face-api.js\/master\/weights\/face_recognition_model-weights_manifest.json\">face_recognition_model-weights_manifest.json<\/a><\/li>\n<li><a href=\"https:\/\/raw.githubusercontent.com\/justadudewhohacks\/face-api.js\/master\/weights\/face_recognition_model-shard1\">face_recognition_model-shard1<\/a><\/li>\n<li><a href=\"https:\/\/raw.githubusercontent.com\/justadudewhohacks\/face-api.js\/master\/weights\/face_recognition_model-shard2\">face_recognition_model-shard2<\/a><\/li>\n<\/ul>\n<p>To download these files, right-click on each link and select &#8220;Save link as&#8230;&#8221;. Place the downloaded files into the <code>models<\/code> folder.<\/p>\n<h2>Creating the FaceRecognition Component<\/h2>\n<p>Now, let&#8217;s create a new React component called <code>FaceRecognition<\/code> that will handle the face recognition functionality in our application.<\/p>\n<p>Create a new file called <code>FaceRecognition.js<\/code> inside the <code>src<\/code> folder and add the following code:<\/p>\n<pre><code class=\"language-jsx\">import React, { useEffect, useRef } from 'react';\nimport * as faceapi from 'face-api.js';\n\nconst FaceRecognition = () =&gt; {\n  const videoRef = useRef(null);\n\n  useEffect(() =&gt; {\n    const loadModels = async () =&gt; {\n      await faceapi.nets.tinyFaceDetector.loadFromUri('\/models');\n      await faceapi.nets.faceLandmark68Net.loadFromUri('\/models');\n      await faceapi.nets.faceRecognitionNet.loadFromUri('\/models');\n    };\n\n    loadModels();\n  }, []);\n\n  useEffect(() =&gt; {\n    const startCamera = async () =&gt; {\n      const video = videoRef.current;\n\n      if (navigator.mediaDevices.getUserMedia) {\n        await navigator.mediaDevices.getUserMedia({ video: true })\n          .then((stream) =&gt; {\n            video.srcObject = stream;\n          })\n          .catch((error) =&gt; console.error('Error accessing camera:', error));\n      }\n    };\n\n    startCamera();\n  }, []);\n\n  return (\n    &lt;div&gt;\n      &lt;video ref={videoRef} autoPlay muted \/&gt;\n    &lt;\/div&gt;\n  );\n};\n\nexport default FaceRecognition;\n<\/code><\/pre>\n<p>In the code above, we import the necessary dependencies and create a functional component called <code>FaceRecognition<\/code>. Inside this component, we define two <code>useEffect<\/code> hooks. The first hook is responsible for loading the face detection, face landmark, and face recognition models from the <code>models<\/code> folder. The second hook starts the camera and displays the video stream on the page.<\/p>\n<p>We also create a <code>videoRef<\/code> using the <code>useRef<\/code> hook, which is used to reference the video element in the JSX code.<\/p>\n<p>Finally, we render a <code>video<\/code> element with the <code>ref<\/code> attribute set to the <code>videoRef<\/code> variable.<\/p>\n<h2>Adding the FaceRecognition Component to App.js<\/h2>\n<p>Now that we have created the <code>FaceRecognition<\/code> component, let&#8217;s include it in the main <code>App.js<\/code> file.<\/p>\n<p>Open the <code>src\/App.js<\/code> file and replace the existing code with the following:<\/p>\n<pre><code class=\"language-jsx\">import React from 'react';\nimport FaceRecognition from '.\/FaceRecognition';\n\nconst App = () =&gt; {\n  return (\n    &lt;div className=\"App\"&gt;\n      &lt;h1&gt;Face Recognition App&lt;\/h1&gt;\n      &lt;FaceRecognition \/&gt;\n    &lt;\/div&gt;\n  );\n};\n\nexport default App;\n<\/code><\/pre>\n<p>In the code above, we import the <code>FaceRecognition<\/code> component and render it inside the main <code>App<\/code> component.<\/p>\n<p>Now, if you go back to your browser and refresh the page, you should see the &#8220;Face Recognition App&#8221; title and a video stream from your camera.<\/p>\n<h2>Detecting Faces<\/h2>\n<p>The next step is to detect faces in the video stream and draw bounding boxes around them.<\/p>\n<p>Add the following code inside the <code>loadModels<\/code> function in the <code>FaceRecognition<\/code> component:<\/p>\n<pre><code class=\"language-jsx\">await faceapi.nets.tinyFaceDetector.loadFromUri('\/models');\nawait faceapi.nets.faceLandmark68Net.loadFromUri('\/models');\nawait faceapi.nets.faceRecognitionNet.loadFromUri('\/models');\n<\/code><\/pre>\n<p>This code loads the required face detection, face landmark, and face recognition models from the <code>models<\/code> folder.<\/p>\n<p>Next, add the following code inside the <code>startCamera<\/code> function:<\/p>\n<pre><code class=\"language-jsx\">const canvas = faceapi.createCanvasFromMedia(video);\ndocument.body.append(canvas);\n\nconst displaySize = {\n  width: video.width,\n  height: video.height,\n};\nfaceapi.matchDimensions(canvas, displaySize);\n\nsetInterval(async () =&gt; {\n  const detections = await faceapi.detectAllFaces(video, new faceapi.TinyFaceDetectorOptions()).withFaceLandmarks().withFaceDescriptors();\n  const resizedDetections = faceapi.resizeResults(detections, displaySize);\n\n  canvas.getContext('2d').clearRect(0, 0, canvas.width, canvas.height);\n  faceapi.draw.drawDetections(canvas, resizedDetections);\n  faceapi.draw.drawFaceLandmarks(canvas, resizedDetections);\n}, 100);\n<\/code><\/pre>\n<p>This code creates a new canvas element dynamically and appends it to the <code>document.body<\/code>. It also sets up the display size of the canvas based on the width and height of the video stream.<\/p>\n<p>Inside the <code>setInterval<\/code> function, we use the <code>faceapi.detectAllFaces<\/code> method to detect faces in the video stream using the TinyFaceDetector. We also use the <code>withFaceLandmarks<\/code> and <code>withFaceDescriptors<\/code> options to get additional information about the detected faces.<\/p>\n<p>We then resize the detection results based on the display size and draw bounding boxes around the detected faces using the <code>drawDetections<\/code> and <code>drawFaceLandmarks<\/code> methods.<\/p>\n<p>Finally, we clear the canvas on each iteration to remove the previously drawn bounding boxes.<\/p>\n<h2>Conclusion<\/h2>\n<p>In this tutorial, we learned how to create a face recognition app using React and the Face API. We loaded the necessary face detection, face landmark, and face recognition models, started the camera, and detected faces in the video stream.<\/p>\n<p>You can further enhance the app by adding features like face recognition and displaying the names of recognized faces. The Face API provides various methods to achieve these functionalities.<\/p>\n<p>Feel free to experiment with different face recognition features and explore the capabilities of the Face API.<\/p>\n<p>Happy coding!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this tutorial, we will learn how to create a face recognition app using React and the Face API. Face recognition is a technology that can identify and verify the identity of a person based on their unique facial features. 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Face recognition is a technology that can identify and verify the identity of a person based on their unique facial features. 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