項目需求做登陸頁面,先是准考證號,然后人臉識別驗證匹配登陸!
因為要判斷有沒有人臉,沒有人臉的話就不會拍照對比,所以這里主要用到的是tracking.js,在組建中引入tracking.js和face-min.js(當然也可以npm安裝)
/*
*template
*/
<el-button type="primary" :loading="forming" @click="formTable">確認</el-button>//准考證號確認按鈕,點擊后開始調用攝像頭
<video width="375" height="290" autoplay playsinline ref="video" id="video" v-show="true"></video>
<canvas id="canvas" width="500" height="400" class="canvas" v-show="false"></canvas>
/*
*script
*/
export default{
data(){
return{
submitBase:""//存儲拍到的base64照片,作為接口參數
videoEle: null,
trackerTask: null,
mediaStreamTrack: null
}
},
methods:{
formTable(){
//flag是一個開關,不然tracking.js會不斷的拍照
let flag = true;
let tracker = new window.tracking.ObjectTracker("face");
tracker.setStepSize(2);
//轉頭角度影響識別率
tracker.setEdgesDensity(0, 13);
tracker.setInitialScale(5);
this.trackerTask = window.tracking.track("video", tracker, {
camera: true
});
tracker.on("track", event => {
if (event.data.length) {
//有頭像有頭像執行
//會一直拍照,所有這里加個鎖
if (flag) {
let vm = this;
let video = document.querySelector("video");
let canvas1 = document.querySelector("canvas");
let context1 = canvas1.getContext("2d");
canvas1.setAttribute("width", video.videoWidth);
canvas1.setAttribute("height", video.videoHeight);
flag = false;
let image = context1.drawImage(
video,
0,
0,
video.videoWidth,
video.videoHeight
);
let getBase = canvas1.toDataURL("image/png", 1); //1表示質量(無損壓縮)
this.submitBase = getBase;
//下面就是axios調用接口了
}
}
}
效果圖:
借鑒地址:https://www.cnblogs.com/wangrui38/p/12503486.html