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Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gesture Recognition

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<!DOCTYPE html> <html lang="en"> <head> <meta charset="utf-8"> <title>Human: Face Recognition</title> <meta name="viewport" content="width=device-width" id="viewport"> <meta name="keywords" content="Human"> <meta name="application-name" content="Human"> <meta name="description" content="Human: 3D Face Detection, Body Pose, Hand & Finger Tracking, Iris Tracking, Age & Gender Prediction, Emotion Prediction & Gesture Recognition; Author: Vladimir Mandic <https://github.com/vladmandic>"> <meta name="msapplication-tooltip" content="Human: 3D Face Detection, Body Pose, Hand & Finger Tracking, Iris Tracking, Age & Gender Prediction, Emotion Prediction & Gesture Recognition; Author: Vladimir Mandic <https://github.com/vladmandic>"> <meta name="theme-color" content="#000000"> <link rel="manifest" href="../manifest.webmanifest"> <link rel="shortcut icon" href="../../favicon.ico" type="image/x-icon"> <link rel="apple-touch-icon" href="../../assets/icon.png"> <script src="./index.js" type="module"></script> <style> @font-face { font-family: 'Lato'; font-display: swap; font-style: normal; font-weight: 100; src: local('Lato'), url('../../assets/lato-light.woff2') } html { font-family: 'Lato', 'Segoe UI'; font-size: 16px; font-variant: small-caps; } body { margin: 0; padding: 16px; background: black; color: white; overflow-x: hidden; width: 100vw; height: 100vh; } body::-webkit-scrollbar { display: none; } .button { padding: 2px; cursor: pointer; box-shadow: 2px 2px black; width: 64px; text-align: center; place-content: center; margin-left: 16px; height: 16px; display: none } .ok { position: absolute; top: 64px; right: 20px; width: 150px; background-color: grey; padding: 4px; color: black; font-size: 14px } </style> </head> <body> <div style="padding: 8px"> <h1 style="margin: 0">faceid demo using human library</h1> look directly at camera and make sure that detection passes all of the required tests noted on the right hand side of the screen<br> if input does not satisfies tests within specific timeout, no image will be selected<br> once face image is approved, it will be compared with existing face database<br> you can also store face descriptor with label in a browser's indexdb for future usage<br> <br> <i>note: this is not equivalent to full faceid methods as used by modern mobile phones or windows hello<br> as they rely on additional infrared sensors and depth-sensing and not just camera image for additional levels of security</i> </div> <canvas id="canvas" style="padding: 8px"></canvas> <canvas id="source" style="padding: 8px"></canvas> <video id="video" playsinline style="display: none"></video> <pre id="log" style="padding: 8px"></pre> <div id="match" style="display: none; padding: 8px"> <label for="name">name:</label> <input id="name" type="text" value="" style="height: 16px; border: none; padding: 2px; margin-left: 8px"> <span id="save" class="button" style="background-color: royalblue">save</span> <span id="delete" class="button" style="background-color: lightcoral">delete</span> </div> <div id="retry" class="button" style="background-color: darkslategray; width: 93%; margin-top: 32px; padding: 12px">retry</div> <div id="ok"></div> </body> </html>