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2025年08月29日

物联网系统架构(12)java开发人脸识别系统

上一篇课文我们分享了java开发人脸采集系统，这次我们分享人脸识别系统，用的还是虹软开放平台。#人工智能##人脸识别##java##python#

原文地址：

基于 Java 实现的人脸识别功能（附源码）-CSDN博客

一，项目结构

二，人脸录入

主要是通过前端JS调起摄像头拍照片并将照片上传给后端的/faceAdd接口

    function getMedia() {
        $("#mainDiv").empty();
        let videoComp = " <video id='video' width='500px' height='500px' autoplay='autoplay' style='margin-top: 20px'></video><canvas id='canvas' width='500px' height='500px' style='display: none'></canvas>";
        $("#mainDiv").append(videoComp);
 
        let constraints = {
            video: {width: 500, height: 500},
            audio: true
        };
        //获得video摄像头区域
        let video = document.getElementById("video");
        //这里介绍新的方法，返回一个 Promise对象
        // 这个Promise对象返回成功后的回调函数带一个 MediaStream 对象作为其参数
        // then()是Promise对象里的方法
        // then()方法是异步执行，当then()前的方法执行完后再执行then()内部的程序
        // 避免数据没有获取到
        let promise = navigator.mediaDevices.getUserMedia(constraints);
        promise.then(function (MediaStream) {
            video.srcObject = MediaStream;
            video.play();
        });
 
        // var t1 = window.setTimeout(function() {
        //     takePhoto();
        // },2000)
    }
//拍照事件
    function takePhoto() {
        let mainComp = $("#mainDiv");
        if(mainComp.has('video').length)
        {
            let userNameInput = $("#userName").val();
            if(userNameInput == "")
            {
                alert("姓名不能为空!");
                return false;
            }
            //获得Canvas对象
            let video = document.getElementById("video");
            let canvas = document.getElementById("canvas");
            let ctx = canvas.getContext('2d');
            ctx.drawImage(video, 0, 0, 500, 500);
            var formData = new FormData();
            var base64File = canvas.toDataURL();
            var userName = $("#userName").val();
            formData.append("file", base64File);
            formData.append("name", userName);
            formData.append("groupId", "101");
            $.ajax({
                type: "post",
                url: "/faceAdd",
                data: formData,
                contentType: false,
                processData: false,
                async: false,
                success: function (text) {
                    var res = JSON.stringify(text)
                    if (text.code == 0) {
                        alert("注册成功")
                    } else {
                        alert(text.message)
                    }
                },
                error: function (error) {
                    alert(JSON.stringify(error))
                }
            });
        }
        else{
            var formData = new FormData();
            let userName = $("#userName").val();
            formData.append("groupId", "101");
            var file = $("#file0")[0].files[0];
            var reader = new FileReader();
            reader.readAsDataURL(file);
            reader.onload = function () {
            var base64 = reader.result;
            formData.append("file", base64);
            formData.append("name",userName);
                $.ajax({
                    type: "post",
                    url: "/faceAdd",
                    data: formData,
                    contentType: false,
                    processData: false,
                    async: false,
                    success: function (text) {
                        var res = JSON.stringify(text)
                        if (text.code == 0) {
                            alert("注册成功")
                        } else {
                            alert(text.message)
                        }
                    },
                    error: function (error) {
                        alert(JSON.stringify(error))
                    }
                });
                location.reload();
            }
        }
    }

下面是后端的Controller层，主要有faceAdd接口

faceAdd方法主要使用了
faceEngineService.extractFaceFeature(imageInfo)//人脸特征获取

另外也使用了
userFaceInfoService.insertSelective(userFaceInfo);//人脸特征插入到数据库

@Controller
public class FaceController {

    public final static Logger logger = LoggerFactory.getLogger(FaceController.class);


    @Autowired
    FaceEngineService faceEngineService;

    @Autowired
    UserFaceInfoService userFaceInfoService;

    @RequestMapping(value = "/demo")
    public String demo() {
        return "demo";
    }

    /*
    人脸添加
     */
    @RequestMapping(value = "/faceAdd", method = RequestMethod.POST)
    @ResponseBody
    public Result<Object> faceAdd(@RequestParam("file") String file, @RequestParam("groupId") Integer groupId, @RequestParam("name") String name) {

        try {
            if (file == null) {
                return Results.newFailedResult("file is null");
            }
            if (groupId == null) {
                return Results.newFailedResult("groupId is null");
            }
            if (name == null) {
                return Results.newFailedResult("name is null");
            }

            byte[] decode = Base64.decode(base64Process(file));
            ImageInfo imageInfo = ImageFactory.getRGBData(decode);

            //人脸特征获取
            byte[] bytes = faceEngineService.extractFaceFeature(imageInfo);
            if (bytes == null) {
                return Results.newFailedResult(ErrorCodeEnum.NO_FACE_DETECTED);
            }

            UserFaceInfo userFaceInfo = new UserFaceInfo();
            userFaceInfo.setName(name);
            userFaceInfo.setGroupId(groupId);
            userFaceInfo.setFaceFeature(bytes);
            userFaceInfo.setFaceId(RandomUtil.randomString(10));

            //人脸特征插入到数据库
            userFaceInfoService.insertSelective(userFaceInfo);

            logger.info("faceAdd:" + name);
            return Results.newSuccessResult("");
        } catch (Exception e) {
            logger.error("", e);
        }
        return Results.newFailedResult(ErrorCodeEnum.UNKNOWN);
    }

    /*
    人脸识别
     */
    @RequestMapping(value = "/faceSearch", method = RequestMethod.POST)
    @ResponseBody
    public Result<FaceSearchResDto> faceSearch(String file, Integer groupId) throws Exception {

        if (groupId == null) {
            return Results.newFailedResult("groupId is null");
        }
        byte[] decode = Base64.decode(base64Process(file));
        BufferedImage bufImage = ImageIO.read(new ByteArrayInputStream(decode));
        ImageInfo imageInfo = ImageFactory.bufferedImage2ImageInfo(bufImage);


        //人脸特征获取
        byte[] bytes = faceEngineService.extractFaceFeature(imageInfo);
        if (bytes == null) {
            return Results.newFailedResult(ErrorCodeEnum.NO_FACE_DETECTED);
        }
        //人脸比对，获取比对结果
        List<FaceUserInfo> userFaceInfoList = faceEngineService.compareFaceFeature(bytes, groupId);

        if (CollectionUtil.isNotEmpty(userFaceInfoList)) {
            FaceUserInfo faceUserInfo = userFaceInfoList.get(0);
            FaceSearchResDto faceSearchResDto = new FaceSearchResDto();
            BeanUtil.copyProperties(faceUserInfo, faceSearchResDto);
            List<ProcessInfo> processInfoList = faceEngineService.process(imageInfo);
            if (CollectionUtil.isNotEmpty(processInfoList)) {
                //人脸检测
                List<FaceInfo> faceInfoList = faceEngineService.detectFaces(imageInfo);
                int left = faceInfoList.get(0).getRect().getLeft();
                int top = faceInfoList.get(0).getRect().getTop();
                int width = faceInfoList.get(0).getRect().getRight() - left;
                int height = faceInfoList.get(0).getRect().getBottom() - top;

                Graphics2D graphics2D = bufImage.createGraphics();
                graphics2D.setColor(Color.RED);//红色
                BasicStroke stroke = new BasicStroke(5f);
                graphics2D.setStroke(stroke);
                graphics2D.drawRect(left, top, width, height);
                ByteArrayOutputStream outputStream = new ByteArrayOutputStream();
                ImageIO.write(bufImage, "jpg", outputStream);
                byte[] bytes1 = outputStream.toByteArray();
                faceSearchResDto.setImage("data:image/jpeg;base64," + Base64Utils.encodeToString(bytes1));
                faceSearchResDto.setAge(processInfoList.get(0).getAge());
                faceSearchResDto.setGender(processInfoList.get(0).getGender().equals(1) ? "女" : "男");

            }

            return Results.newSuccessResult(faceSearchResDto);
        }
        return Results.newFailedResult(ErrorCodeEnum.FACE_DOES_NOT_MATCH);
    }


    @RequestMapping(value = "/detectFaces", method = RequestMethod.POST)
    @ResponseBody
    public List<FaceInfo> detectFaces(String image) throws IOException {
        byte[] decode = Base64.decode(image);
        InputStream inputStream = new ByteArrayInputStream(decode);
        ImageInfo imageInfo = ImageFactory.getRGBData(inputStream);

        if (inputStream != null) {
            inputStream.close();
        }
        List<FaceInfo> faceInfoList = faceEngineService.detectFaces(imageInfo);

        return faceInfoList;
    }


    private String base64Process(String base64Str) {
        if (!StringUtils.isEmpty(base64Str)) {
            String photoBase64 = base64Str.substring(0, 30).toLowerCase();
            int indexOf = photoBase64.indexOf("base64,");
            if (indexOf > 0) {
                base64Str = base64Str.substring(indexOf + 7);
            }

            return base64Str;
        } else {
            return "";
        }
    }
}

三，人脸识别：人像特征对比

人脸识别：将前端传入的图像经过人像特征提取后，和库中已存在的人像信息对比分析。

前端传入的图像需要请求后端的/faceSearch接口

下面是Controller层的FaceController类里面的/faceSearch接口

faceSearch方法主要调用了
faceEngineService.detectFaces(imageInfo);人脸检测、


faceEngineService.extractFaceFeature(imageInfo);人脸特征获取、


faceEngineService.compareFaceFeature(bytes, groupId);人脸比对，获取比对结果。

    /*
    人脸识别
     */
    @RequestMapping(value = "/faceSearch", method = RequestMethod.POST)
    @ResponseBody
    public Result<FaceSearchResDto> faceSearch(String file, Integer groupId) throws Exception {

        if (groupId == null) {
            return Results.newFailedResult("groupId is null");
        }
        byte[] decode = Base64.decode(base64Process(file));
        BufferedImage bufImage = ImageIO.read(new ByteArrayInputStream(decode));
        ImageInfo imageInfo = ImageFactory.bufferedImage2ImageInfo(bufImage);


        //人脸特征获取
        byte[] bytes = faceEngineService.extractFaceFeature(imageInfo);
        if (bytes == null) {
            return Results.newFailedResult(ErrorCodeEnum.NO_FACE_DETECTED);
        }
        //人脸比对，获取比对结果
        List<FaceUserInfo> userFaceInfoList = faceEngineService.compareFaceFeature(bytes, groupId);

        if (CollectionUtil.isNotEmpty(userFaceInfoList)) {
            FaceUserInfo faceUserInfo = userFaceInfoList.get(0);
            FaceSearchResDto faceSearchResDto = new FaceSearchResDto();
            BeanUtil.copyProperties(faceUserInfo, faceSearchResDto);
            List<ProcessInfo> processInfoList = faceEngineService.process(imageInfo);
            if (CollectionUtil.isNotEmpty(processInfoList)) {
                //人脸检测
                List<FaceInfo> faceInfoList = faceEngineService.detectFaces(imageInfo);
                int left = faceInfoList.get(0).getRect().getLeft();
                int top = faceInfoList.get(0).getRect().getTop();
                int width = faceInfoList.get(0).getRect().getRight() - left;
                int height = faceInfoList.get(0).getRect().getBottom() - top;

                Graphics2D graphics2D = bufImage.createGraphics();
                graphics2D.setColor(Color.RED);//红色
                BasicStroke stroke = new BasicStroke(5f);
                graphics2D.setStroke(stroke);
                graphics2D.drawRect(left, top, width, height);
                ByteArrayOutputStream outputStream = new ByteArrayOutputStream();
                ImageIO.write(bufImage, "jpg", outputStream);
                byte[] bytes1 = outputStream.toByteArray();
                faceSearchResDto.setImage("data:image/jpeg;base64," + Base64Utils.encodeToString(bytes1));
                faceSearchResDto.setAge(processInfoList.get(0).getAge());
                faceSearchResDto.setGender(processInfoList.get(0).getGender().equals(1) ? "女" : "男");

            }

            return Results.newSuccessResult(faceSearchResDto);
        }
        return Results.newFailedResult(ErrorCodeEnum.FACE_DOES_NOT_MATCH);
    }

源码地址
https://github.com/xinzhfiu/ArcSoftFaceDemo/

标签：data:image/jpeg base64 

作者:alicucu , 分类:技术文章 , 浏览:1 , 评论:0

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