1.人脸识别用的是Tracking.js
2.用HBuilder打包的话可以完美跨平台，IOS、Android都可以用
思路：
前端用Tracking.js检测人脸时时抓拍或者间隔时间抓拍，把抓拍到的图像上传到服务器端再用虹软SDK做活体和人脸再次验证。代码如下，明天继续写服务端的代码。
<!DOCTYPE HTML> <html> <head> <meta charset="utf-8" /> <meta name="viewport" content="initial-scale=1.0, maximum-scale=1.0, user-scalable=no" /> <meta name="HandheldFriendly" content="true" /> <meta name="MobileOptimized" content="320" /> <title>人脸识别</title> <link rel="stylesheet" href="../css/demo.css"> <script src="../js/face/tracking-min.js"></script> <script src="../js/face/face-min.js"></script> <script src="../js/face/jquery.min.js"></script> <style> video, canvas { margin-left: 230px; margin-top: 120px; position: absolute; } </style> </head> <body> <div class="demo-frame"> <div class="demo-container"> <video id="video" width="320" height="240" preload autoplay loop muted></video> <canvas id="canvas" width="320" height="240"></canvas> </div> </div> <script> <!-- 人脸识别开始 --> window.onload = function() { var video = document.getElementById('video'); var canvas = document.getElementById('canvas'); var context = canvas.getContext('2d'); var tracker = new tracking.ObjectTracker('face'); tracker.setInitialScale(4); tracker.setStepSize(2); tracker.setEdgesDensity(0.1); this.trackerTask = tracking.track('#video', tracker, { camera: true }); tracker.on('track', function(event) { context.clearRect(0, 0, canvas.width, canvas.height); event.data.forEach(function(rect) { context.strokeStyle = '#0000ff'; context.strokeRect(rect.x, rect.y, rect.width, rect.height); context.font = '11px Helvetica'; // context.fillText("已识别到人脸", 100, 40); context.fillStyle = "#f00"; //把获取的图片上传至服务器用虹软SDK继续活体检测和人脸识别 setTimeout(function() {// setTimeout方法用来进行间隔时间抓拍 context.drawImage(video, 0, 0, 320, 240); var img = canvas.toDataURL("image/jpeg", 0.5); // console.log(img); var dataJson = "{'base64Str' : '" + img.substr(img.indexOf(',') + 1) + "'}"; console.log("dataJson:" + dataJson); $.ajax({ url: 'http://192.168.11.60:81/ArcSoftFace.asmx/GetImgs', type: 'post', dataType: 'json', contentType: 'application/json;charset=utf-8', data: dataJson, success: function(data) { var msg = JSON.stringify(data); console.log("data:" + msg); alert(msg); }, error: function(XMLHttpRequest, textStatus, errorThrown) { console.log("status:" + XMLHttpRequest.status); console.log("readyState:" + XMLHttpRequest.readyState); console.log("textStatus:" + textStatus); } }); }, 5000); }); }); }; <!-- 人脸识别结束 --> </script> </body> </html>