項目中需要實現人臉登陸功能，實現思路為在前端檢測人臉，把人臉照片發送到后端識別，返回用戶token登陸成功

前端調用攝像頭使用tracking.js檢測視頻流中的人臉，檢測到人臉后拍照上傳后端。

后端使用face_recognition人臉識別庫，使用Flask提供restfulAP供前端調用

實現效果如下圖：

登陸界面：

攝像頭檢測人臉界面：

前端代碼如下：

<template> <div id='facelogin'> <h1 class='title is-1'>{{FaceisDetected}}</h1> <!-- <p>{{FaceisDetected}}</p> --> <div class='content-cam'> <div class='camera-wrp sec'> <video ref='videoDom' preload autoplay loop muted></video> <canvas ref='canvasDOM' id='face_detect'></canvas> <div class='control-btn'></div> </div> <div class='images-wrp sec'> <!-- <p class='title is-5'>Image taken</p> --> <div : v-for='(image, index) in images' :key='`img-wrp-${index}`' : ></div> </div> </div> </div></template>export default {name: ’facelogin’,data() {return {count: 0,isdetected: ’請您保持臉部在畫面中央’,videoEl: {},canvasEL: {},images: [],trackCcv: false,trackTracking: false,autoCaptureTrackTraking: false,userMediaConstraints: {audio: false,video: {// ideal（應用最理想的）width: {min: 320,ideal: 1280,max: 1920},height: {min: 240,ideal: 720,max: 1080},// frameRate受限帶寬傳輸時，低幀率可能更適宜frameRate: {min: 15,ideal: 30,max: 60},// 攝像頭翻轉facingMode: ’user’}}}},computed: {FaceisDetected() {return this.isdetected}},created() {this.changeView()}, mounted() { // The getUserMedia interface is used for handling camera input. // Some browsers need a prefix so here we’re covering all the options navigator.getMedia = navigator.getUserMedia || navigator.webkitGetUserMedia || navigator.mozGetUserMedia || navigator.msGetUserMedia this.init() }, methods: { async init() { this.videoEl = this.$refs.videoDom this.canvasEL = this.$refs.canvasDOM await navigator.mediaDevices .getUserMedia(this.userMediaConstraints) .then(this.getMediaStreamSuccess) .catch(this.getMediaStreamError) await this.onPlay() }, async onPlay() { debugHelper.log(’onPlay’) this.onTrackTracking() }, changeView() { this.setTitle(’刷臉登陸’) this.setBackDisabled(false) this.setBackIcon(’arrow_back’) msgbus.vm.setBottomNavVisible(false) msgbus.vm.setBottomBtnVisible(false) msgbus.vm.setMsgInputVisible({ value: false }) }, onTrackTracking() { const context = this const video = this.videoEl const canvas = this.canvasEL const canvasContext = canvas.getContext(’2d’) let tracker = new tracking.ObjectTracker(’face’) video.pause() video.src = ’’ tracker.setInitialScale(4) tracker.setStepSize(2) tracker.setEdgesDensity(0.1) tracking.track(’#video_cam’, tracker, { camera: true }) tracker.on(’track’, function(event) { const { autoCaptureTrackTraking } = context canvasContext.clearRect(0, 0, canvas.width, canvas.height) event.data.forEach(function({ x, y, width, height }) { canvasContext.strokeStyle = ’#a64ceb’ canvasContext.strokeRect(x, y, width, height) canvasContext.font = ’11px Helvetica’ canvasContext.fillStyle = ’#fff’ }) if (!isEmpty(event.data) && context.count <= 10) { if (context.count < 0) context.count = 0 context.count += 1 //debugHelper.log(context.count) if (context.count > 10) { context.isdetected = ’已檢測到人臉，正在登錄’ //context.$router.push({ name: ’pwdlogin’ }) } } else { context.count -= 1 if (context.count < 0) context.isdetected = ’請您保持臉部在畫面中央’ //this.isdetected = ’已檢測到人臉，正在登錄’ } }) }, onDownloadFile(item) { const link = document.createElement(’a’) link.href = item link.download = `cahyo-${new Date().toISOString()}.png` link.click() link.remove() }, onTakeCam() { const canvas = document.createElement(’canvas’) const video = this.$el.querySelector(’#video_cam’) const canvasContext = canvas.getContext(’2d’) if (video.videoWidth && video.videoHeight) { const isBiggerW = video.videoWidth > video.videoHeight const fixVidSize = isBiggerW ? video.videoHeight : video.videoWidth let offsetLeft = 0 let offsetTop = 0 if (isBiggerW) offsetLeft = (video.videoWidth - fixVidSize) / 2 else offsetTop = (video.videoHeight - fixVidSize) / 2 // make canvas size 300px canvas.width = canvas.height = 300 const { width, height } = canvas canvasContext.drawImage( video, offsetLeft, offsetTop, fixVidSize, fixVidSize, 0, 0, width, height ) const image = canvas.toDataURL(’image/png’) this.images.push(image) } }, onDetectFace(param, index) { const imgItem = document.querySelector(`.img-item-${index}`) const image = new Image() image.src = param const tracker = new tracking.ObjectTracker(’face’) tracker.setStepSize(1.7) tracking.track(image, tracker) tracker.on(’track’, function(event) { event.data.forEach(function(rect) { window.plot(rect.x, rect.y, rect.width, rect.height) }) }) window.plot = function(x, y, w, h) { const rect = document.createElement(’div’) document.querySelector(`.img-item-${index}`).appendChild(rect) rect.classList.add(’rect’) rect.style.width = w + ’px’ rect.style.height = h + ’px’ rect.style.left = x + ’px’ rect.style.top = y + ’px’ rect.style.border = ’2px solid yellow’ rect.style.position = ’absolute’ } }, getMediaStreamSuccess(stream) { window.stream = stream // make stream available to browser console this.videoEl.srcObject = stream debugHelper.log(’getMediaStreamSuccess1’) //this.$store.commit(’setVideoCanvasObject’, this.videoEl) debugHelper.log(’getMediaStreamSuccess2’) }, // 視頻媒體流失敗 getMediaStreamError(error) { alert(’視頻媒體流獲取錯誤’ + error) }, // 結束媒體流 stopMediaStreamTrack() { clearInterval(this.timeInterval) if (typeof window.stream === ’object’) { this.videoEl.srcObject = null //this.$store.commit(’setVideoCanvasObject’, ’’) window.stream.getTracks().forEach(track => track.stop()) } },

總結

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