1. 实现功能
类似扫一扫的功能，自动识别到画面中的二维码并进行识别，也可以选择从相册中上传。
2. 涉及到的一些插件介绍
vue-qrcode-reader
一组用于检测和解码二维码的Vue.js组件
jsQR
一个纯粹的javascript二维码阅读库，该库接收原始图像，并将定位、提取和解析在其中找到的任何二维码。
zxing-wasm
ZXing-C++ WebAssembly 作为带有类型的 ES/CJS 模块。读/写 web、node、bun 和 deno 中的条形码。
2. vite项目配置本地开发使用https访问
安装basicSsl
pnpm i @vitejs/plugin-basic-ssl
import { defineConfig } from 'vite'
import vue from '@vitejs/plugin-vue'
import path from 'path'
import basicSsl from '@vitejs/plugin-basic-ssl'// https://vitejs.dev/config/
export default defineConfig({plugins: [vue(), basicSsl()],server: {host: '0.0.0.0',https: true},resolve: {alias: {'@': path.resolve(__dirname, 'src')}}
})
3. 方式一：vue-qrcode-reader实现
npm install vue-qrcode-reader
🔍vue-qrcode-reader Api 介绍
<template><div><qrcode-streamclass="qrcode-wrap":torch="torch"v-memo="[torch]":constraints="selectedConstraints":track="paintBoundingBox"@error="onError"@detect="onDetect"@camera-on="onCameraReady"><div v-if="isSupportTorch" class="torch-wrap"><div class="torch" @click="() => (torch = !torch)"><div class="flash-light" v-if="torch"><MdiFlashlightOff style="width: 36px; height: 36px" /></div><div class="flash-light" v-else><MdiFlashlight style="width: 36px; height: 36px" /></div>{{ torch ? "关闭闪光灯" : "打开闪光灯" }}</div></div><div class="photo-wrap"><div class="photo" @click="handleOpenFile"><el-icon size="20"><PictureFilled /></el-icon></div><div class="color-[#fff]">相册</div></div></qrcode-stream></div>
</template>
<script setup lang="ts">
// https://gruhn.github.io/vue-qrcode-reader/api/QrcodeStream.html
import { QrcodeStream } from "vue-qrcode-reader";
import { PictureFilled } from "@element-plus/icons-vue";
import MdiFlashlight from "~icons/mdi/flashlight";
import MdiFlashlightOff from "~icons/mdi/flashlight-off";
import { ElMessage } from "element-plus";
import { fileOpen } from "browser-fs-access";
import _ from "lodash";const error = ref("");
const cameraIsReady = ref(false);
const isSupportTorch = ref(false); // 是否支持闪光灯
const torch = ref(false); // 闪光灯状态
// 相机配置选项: 'user'|'environment' （默认：environment）
const selectedConstraints = ref({ facingMode: "environment" });// 检测到二维码后绘制画布类型
function paintBoundingBox(detectedCodes: any, ctx: CanvasRenderingContext2D) {for (const detectedCode of detectedCodes) {const {boundingBox: { x, y, width, height },} = detectedCode;ctx.lineWidth = 2;ctx.strokeStyle = "#007bff";// 绘制边框矩形ctx.strokeRect(x, y, width, height);}
}async function onCameraReady(capabilities: any) {// NOTE: on iOS we can't invoke `enumerateDevices` before the user has given// camera access permission. `QrcodeStream` internally takes care of// requesting the permissions. The `camera-on` event should guarantee that this// has happened.try {isSupportTorch.value = !!capabilities.torch;cameraIsReady.value = true;error.value = "";} catch (error) {onError(error);cameraIsReady.value = false;}
}
// 错误提示
function onError(err: any) {error.value = `[${err.name}]: `;if (err.name === "NotAllowedError") {error.value += "you need to grant camera access permission";} else if (err.name === "NotFoundError") {error.value += "no camera on this device";} else if (err.name === "NotSupportedError") {error.value += "secure context required (HTTPS, localhost)";} else if (err.name === "NotReadableError") {error.value += "is the camera already in use?";} else if (err.name === "OverconstrainedError") {error.value += "installed cameras are not suitable";} else if (err.name === "StreamApiNotSupportedError") {error.value += "Stream API is not supported in this browser";} else if (err.name === "InsecureContextError") {error.value +="Camera access is only permitted in secure context. Use HTTPS or localhost rather than HTTP.";} else {error.value += err.message;}ElMessage.warning(error.value);
}
// 用户摄像头的流后
function onDetect(detectedCodes: any) {if (detectedCodes.length > 0) {onDecode(detectedCodes[0]?.rawValue);}
}const emit = defineEmits(["on-success"]);// 解码(交给父组件处理：进行网络请求)
function onDecode(text: string) {emit("on-success", text);
}
// 文件转成base64
const processFile = async (file: any) => {let reader = new FileReader();reader.readAsDataURL(file);reader.onload = (e) => {let base64String = e.target?.result as string ||'';// 此处可对该base64进行获取赋值传入后端, 如果有直接上传文件的接口就可以直接传文件onDecode(base64String)};
};
// 打开图片选择
async function handleOpenFile() {try {const file = await fileOpen({ mimeTypes: ["image/*"] }).catch(() => null);if (!file) return;// 计算文件的大小const fileSizeMb = _.round(file.size / 1024 / 1024, 2);// 文件大小不能超过 10MBconst limitSizeMb = 10;if (fileSizeMb > limitSizeMb) {return ElMessage.warning(`图片大小限制 ${limitSizeMb}MB`);}processFile(file)} catch (error) {console.log(`[log] - handleOpenUploadIcon - error:`, error);}
}
</script>
<style scoped>
.qrcode-wrap {position: fixed !important;top: 0;right: 0;bottom: 0;left: 0;width: 100vw;height: 100vh;z-index: 1 !important;background: rgba(0, 0, 0, 0.5);
}
.torch-wrap {width: 18.75rem;height: 12.5rem;position: fixed !important;left: 50%;top: 50%;transform: translate(-50%, -30%);z-index: 20;
}.torch {position: fixed;bottom: -6.25rem;left: 50%;transform: translateX(-50%);z-index: 20;color: #fff;display: flex;flex-direction: column;align-items: center;
}
.photo-wrap {position: fixed;bottom: 2.875rem;left: 2.875rem;display: flex;flex-direction: column;align-items: center;gap: 6px;
}.photo {height: 3.125rem;width: 3.125rem;background-color: rgba(250, 250, 250, 0.8);border-radius: 50%;display: grid;place-items: center;cursor: pointer;
}
</style>browser-fs-access 这个包需要提前下载
pnpm i browser-fs-access
如果需要在离线的环境解析二维码，则需要使用zxing-wasm，在上面文件的js部分添加以下代码：
// 该文件由zxing-wasm项目构建而来
import wasmFile from './zxing_reader.wasm?url';// !为了离线加载
// https://github.com/gruhn/vue-qrcode-reader/issues/354
setZXingModuleOverrides({locateFile: (path: string, prefix: any) => {if (path.endsWith('.wasm')) {return wasmFile;}return prefix + path;},
});
✨ 该部分完整Demo代码在该文件夹下：Demo (二维码实现之vue-qrcode-reader)
4. 方式二：jsQR实现
🔍Canvas的基本介绍与使用
<template><div><div class="canvasBox"><div class="box"><div class="line"></div><div class="angle"></div></div><div v-if="isUseTorch" class="box2"><div class="track" @click="openTrack"><div class="flash-light" v-if="trackStatus"><MdiFlashlightOff style="width: 36px; height: 36px" /></div><div class="flash-light" v-else><MdiFlashlight style="width: 36px; height: 36px" /></div>{{ trackStatus ? "关闭闪光灯" : "打开闪光灯" }}</div></div><div class="photo-wrap"><div class="photo" @click="handleClickFile"><el-icon size="20"><inputclass="hide_file"ref="fileRef"type="file"accept="image/*;"@change="getFile"/><PictureFilled /></el-icon></div><div class="color-[#fff]">相册</div></div></div></div>
</template><script setup lang="ts">
// https://github.com/cozmo/jsQR
import jsQR from "jsqr";
import { PictureFilled } from "@element-plus/icons-vue";
import MdiFlashlight from "~icons/mdi/flashlight";
import MdiFlashlightOff from "~icons/mdi/flashlight-off";
import { ElMessage } from "element-plus";
import _ from "lodash";const props = withDefaults(defineProps<{// environment 后摄像头 user 前摄像头exact?: "environment" | "user";// whole 全屏 half 半屏size?: "whole" | "half";// 清晰度: fasle 正常 true 高清definition?: boolean;}>(),{exact: "environment",size: "whole",definition: false,}
);
const video = ref();
const canvas2d = ref();
const canvasWidth = ref(520);
const canvasHeight = ref(500);
const c = ref();
const track = ref();
const isUseTorch = ref(false);
const trackStatus = ref(false);
const fileRef = ref();onMounted(() => {const windowWidth = window.screen.availWidth;const windowHeight = window.screen.availHeight;canvasWidth.value = windowWidth;canvasHeight.value = windowHeight;nextTick(() => {video.value = document.createElement("video");c.value = document.createElement("canvas");c.value.id = "c";c.value.width = canvasWidth.value;c.value.height = canvasHeight.value;c.value.style.width = "100%";document.querySelector(".canvasBox")?.append(c.value);openScan();});
});onUnmounted(() => {closeCamera();
});
// 开始扫描
async function openScan() {try {let width = canvasHeight.value;width = props.size === "whole" ? width : width * 0.5;width = props.definition ? width * 1.6 : width;let height = canvasWidth.value;height = props.definition ? height * 1.6 : height;const videoParam = {audio: false,video: {facingMode: { exact: props.exact }, //强制使用摄像头类型width,height,},};// 获取用户摄像头的视频流const stream = await navigator.mediaDevices.getUserMedia(videoParam);if (stream) {video.value.srcObject = stream;video.value.setAttribute("playsinline", true); //内联播放video.value.play();requestAnimationFrame(tick);// 返回所有的媒体内容流的轨道列表track.value = stream.getVideoTracks()?.[0];setTimeout(() => {// 检测摄像头是否支持闪光灯isUseTorch.value = track.value.getCapabilities().torch || null;}, 500);}} catch (error) {ElMessage.warning("设备不支持,请检查是否允许摄像头权限！");console.log("获取本地设备（摄像头）---失败", error);}
}
function closeCamera() {if (video.value.srcObject) {video.value.srcObject.getTracks().forEach((track: any) => {track.stop();});}
}
function tick() {if (video.value.readyState === video.value.HAVE_ENOUGH_DATA) {canvasHeight.value = video.value.videoHeight;canvasWidth.value = video.value.videoWidth;c.value.width = canvasWidth.value;c.value.height = canvasHeight.value;if (canvas2d.value === undefined) {canvas2d.value = c.value.getContext("2d");}canvas2d.value.drawImage(video.value,0,0,canvasWidth.value,canvasHeight.value);const imageData = canvas2d.value.getImageData(0,0,canvasWidth.value,canvasHeight.value);// 解析二维码数据const code = jsQR(imageData.data, imageData.width, imageData.height, {inversionAttempts: "dontInvert",});if (!_.isEmpty(code)) {drawLine(code.location.topLeftCorner,code.location.topRightCorner,"#FF3B58");drawLine(code.location.topRightCorner,code.location.bottomRightCorner,"#FF3B58");drawLine(code.location.bottomRightCorner,code.location.bottomLeftCorner,"#FF3B58");drawLine(code.location.bottomLeftCorner,code.location.topLeftCorner,"#FF3B58");if (code.data) {getData(code.data);}}}requestAnimationFrame(tick);
}
function drawLine(begin: any, end: any, color: string) {canvas2d.value.beginPath();canvas2d.value.moveTo(begin.x, begin.y);canvas2d.value.lineTo(end.x, end.y);canvas2d.value.lineWidth = 4;canvas2d.value.strokeStyle = color;canvas2d.value.stroke();
}
const emit = defineEmits(["on-success"]);function getData(data: string) {emit("on-success", data);closeCamera();
}function openTrack() {trackStatus.value = !trackStatus.value;track.value.applyConstraints({advanced: [{ torch: trackStatus.value }],});
}
const handleClickFile = () => {fileRef.value.click();
};
const getFile = (e: any) => {const file = e.target.files[0];emit("on-success", file);closeCamera();
};
</script><style scoped>
.flash-light {display: grid;place-content: center;margin-bottom: 6px;
}.photo-wrap {position: fixed;bottom: 2.875rem;left: 2.875rem;display: flex;flex-direction: column;align-items: center;gap: 6px;
}.photo {height: 3.125rem;width: 3.125rem;background-color: rgba(250, 250, 250, 0.8);border-radius: 50%;display: grid;place-items: center;cursor: pointer;
}.hide_file {display: none;
}page {background-color: #333333;
}.canvasBox {width: 100vw;position: relative;top: 0;bottom: 0;left: 0;right: 0;background-image: linear-gradient(0deg,transparent 24%,rgba(32, 255, 77, 0.1) 25%,rgba(32, 255, 77, 0.1) 26%,transparent 27%,transparent 74%,rgba(32, 255, 77, 0.1) 75%,rgba(32, 255, 77, 0.1) 76%,transparent 77%,transparent),linear-gradient(90deg,transparent 24%,rgba(32, 255, 77, 0.1) 25%,rgba(32, 255, 77, 0.1) 26%,transparent 27%,transparent 74%,rgba(32, 255, 77, 0.1) 75%,rgba(32, 255, 77, 0.1) 76%,transparent 77%,transparent);background-size: 3rem 3rem;background-position: -1rem -1rem;z-index: 10;background-color: #1110;
}.box {width: 11.9375rem;height: 11.9375rem;position: absolute;left: 50%;top: 50%;transform: translate(-50%, -80%);overflow: hidden;border: 0.1rem solid rgba(0, 255, 51, 0.2);z-index: 11;
}.line {height: calc(100% - 2px);width: 100%;background: linear-gradient(180deg, rgba(0, 255, 51, 0) 43%, #00ff33 211%);border-bottom: 3px solid #00ff33;transform: translateY(-100%);animation: radar-beam 2s infinite alternate;animation-timing-function: cubic-bezier(0.53, 0, 0.43, 0.99);animation-delay: 1.4s;
}.box:after,
.box:before,
.angle:after,
.angle:before {content: "";display: block;position: absolute;width: 3vw;height: 3vw;z-index: 12;border: 0.2rem solid transparent;
}.box:after,
.box:before {top: 0;border-top-color: #00ff33;
}.angle:after,
.angle:before {bottom: 0;border-bottom-color: #00ff33;
}.box:before,
.angle:before {left: 0;border-left-color: #00ff33;
}.box:after,
.angle:after {right: 0;border-right-color: #00ff33;
}@keyframes radar-beam {0% {transform: translateY(-100%);}100% {transform: translateY(0);}
}.box2 {width: 18.75rem;height: 12.5rem;position: absolute;left: 50%;top: 50%;transform: translate(-50%, -80%);z-index: 20;
}.track {position: absolute;bottom: -6.25rem;left: 50%;transform: translateX(-50%);z-index: 20;color: #fff;display: flex;flex-direction: column;align-items: center;
}
</style>✨该部分完整Demo代码在该文件夹下：Demo (二维码实现之jsQR)
5. 总结
方式一结合vue-qrcode-reader的封装性更强且识别二维码速度更快。
方式二接近了vue-qrcode-reader的底层实现过程。
实际项目开发中更推荐方式一，兼容性与稳定性会更好些。
