From f920064ce42eaaa74311446c089ceb52d2830491 Mon Sep 17 00:00:00 2001
From: chenyincheng <501753378@qq.com>
Date: 星期四, 13 四月 2023 14:35:33 +0800
Subject: [PATCH] 34
---
src/views/login/index.vue | 139 ++++++++++++++++++++++++++++++++++++++++++++++
1 files changed, 139 insertions(+), 0 deletions(-)
diff --git a/src/views/login/index.vue b/src/views/login/index.vue
new file mode 100644
index 0000000..ff1f3c4
--- /dev/null
+++ b/src/views/login/index.vue
@@ -0,0 +1,139 @@
+<template>
+ <div class="wrapp">
+ <div class="inpu">
+ <el-input v-model="inputCode" ref="inputRef" id="inputCode" class="inputCode" @change="inputChabge"
+ placeholder="请输入患者卡号或扫描条码" />
+ </div>
+ <div
+ class="status"
+ :style="{ color: msg === '检测到人脸' ? 'green' : 'red' }">
+ {{ msg }}
+ </div>
+ <div class="rWrapp">
+ <video id="myVideo" preload="preload" autoplay loop muted />
+ <canvas ref="myCanvas" id="myCanvas" class="myCanvas" width="200" height="200" ></canvas>
+ </div>
+ <div v-if="imgSrc" class="img_bg_camera">
+ <p>效果预览</p>
+ <img :src="imgSrc" class="tx_img" />
+ </div>
+ </div>
+</template>
+<script setup lang="ts">
+import { onMounted, ref } from "vue";
+import {faceShibie,base64toFile} from '@/samples/faceApi'
+import { sendPationCodeApi } from '../../samples/httpApi'
+import { confingInfoStore } from "@/stores/StoresConfing";
+
+const msg = ref<string>("没识别到人脸...");
+
+let trackerTask: any = null;
+const inputCode=ref('')
+const inputRef = ref()
+
+// 标识用的画布
+const myCanvas = ref<HTMLCanvasElement | null>(null);
+let imgSrc:'';
+// 实例人脸检查器
+const myTracker: any = new tracking.ObjectTracker("face");
+myTracker.setInitialScale(4);
+myTracker.setStepSize(2);
+myTracker.setEdgesDensity(0.1);
+
+// 监听人脸检查器
+myTracker.on("track", (event: tracking.TrackEvent) => {
+ const context = myCanvas.value?.getContext("2d") as CanvasRenderingContext2D;
+ if (myCanvas.value) {
+ context.clearRect(0, 0, myCanvas.value.width, myCanvas.value.height);
+ }
+ if (event.data.length === 0) {
+ msg.value = "没识别到人脸...";
+ } else if(event.data.length === 1) {
+ trackerTask.stop();
+ msg.value = "检测到人脸";
+ const myCanvas = document.getElementById("myCanvas");//
+ const thisContext = myCanvas?.getContext("2d");
+ const myVideo = document.querySelector("#myVideo") as HTMLVideoElement;
+ thisContext.drawImage(myVideo, 0,0, 250, 200);
+ imgSrc = myCanvas?.toDataURL('image/png');
+ // 转文件
+ base64toFile(imgSrc)
+ setTimeout(() => {
+ console.log('监测到人脸后1s')
+ trackerTask.run();
+ }, 3000);
+ // @ts-ignore
+ if (typeof window.stream === "object") {
+ myVideo.srcObject = null;
+ // @ts-ignore
+ window.stream.getTracks().forEach((track) => track.stop());
+ }
+ }
+});
+const inputChabge = () => {
+ sendPationCodeApi(inputCode.value)
+ setTimeout(function () {
+ inputCode.value = ''
+ }, 1000)
+}
+onMounted(() => {
+ // 触发人脸检查器
+ console.log('人脸识别初始化')
+ const isUseFaceRecogService = confingInfoStore().confingInfo.isUseFaceRecogService
+ console.log('人脸识别',isUseFaceRecogService)
+ setInterval(function () {
+ inputRef.value.focus();
+ }, 1000)
+ if (isUseFaceRecogService) {
+ console.log('开启人脸识别初始化')
+ setTimeout(()=>{
+ trackerTask = tracking.track("#myVideo", myTracker, { camera: true });
+ },2000)
+
+ }else{
+ console.log('关闭人脸识别')
+
+ }
+
+
+});
+</script>
+<style lang="less" scoped>
+.wrapp {
+ height: 100%;
+ background-size: 100% 100%;
+ padding-top: 10px;
+ .rWrapp {
+ width: 500px;
+ height: 500px;
+ margin: auto;
+ // margin-top: 30px;
+ position: relative;
+ .myCanvas {
+ position: absolute;
+ top: 0;
+ left: 0;
+ border-radius: 50%;
+ width: 100%;
+ height: 100%;
+ }
+ #myVideo {
+ width: 100%;
+ height: 100%;
+ border-radius: 50%;
+ object-fit: cover;
+ }
+ }
+ .status {
+ //margin-top: 100px;
+ text-align: center;
+ }
+ .img_bg_camera{
+ position: absolute;
+ top: -500px;
+
+ z-index: -999;
+ }
+}
+</style>
+
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