基于百度人脸识别api的考勤签到实现

浅浅的花香味﹌ 2023-06-24 15:27 2阅读 0赞

[百度人脸api链接][api]  
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人脸存放的路径  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQxMDYzMTQx_size_16_color_FFFFFF_t_70 1]

引入依赖

<dependency>
                <groupId>com.alibaba</groupId>
                <artifactId>fastjson</artifactId>
                <version>1.2.54</version>
            </dependency>
    
            <dependency>
                <groupId>com.baidu.aip</groupId>
                <artifactId>java-sdk</artifactId>
                <version>4.12.0</version>
            </dependency>

controller层代码

@ApiOperation("人脸签到")
        @RequestMapping(value = "/clockIn", method = RequestMethod.POST,
                consumes = MediaType.APPLICATION_FORM_URLENCODED_VALUE)
        public JSONObject clockIn(
                @ApiParam(value = "拍照后的图片进行base64加密后的字符串:xxxx")
                @RequestParam(value = "faceImgBase64Str") String faceImgBase64Str,
                @ApiParam(value = "刷脸的时间:2020-02-21 12:00:00") @RequestParam(value = "date") LocalDateTime date,
                @ApiParam(value = "用户编号:01") @RequestParam(value = "userNo") String userNo
                ){ 
            return attendenceService.clockIn(faceImgBase64Str,date,userNo);
        }

package org.nf.service.impl;
    
    import com.alibaba.fastjson.JSONObject;
    import com.baidu.aip.face.AipFace;
    import org.nf.bean.Attendence;
    import org.nf.bean.OnTime;
    import org.nf.bean.User;
    import org.nf.config.exception.CommonJsonException;
    import org.nf.mapper.AttendenceMapper;
    import org.nf.mapper.OnTimeMapper;
    import org.nf.mapper.UserMapper;
    import org.nf.service.AttendenceService;
    import org.nf.util.CommonUtil;
    import org.nf.util.DateTools;
    import org.nf.util.FaceRecogUtil;
    import org.nf.util.constants.Constants;
    import org.nf.util.constants.ErrorEnum;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.stereotype.Service;
    
    import java.time.LocalDateTime;
    import java.time.LocalTime;
    import java.util.Date;
    import java.util.List;
    import java.util.stream.Collectors;
    
    @Service
    public class AttendenceServiceImpl implements AttendenceService { 
    
        @Autowired
        AttendenceMapper attendenceMapper;
    
        @Autowired
        UserMapper userMapper;
    
        @Autowired
        OnTimeMapper onTimeMapper;
    
        @Override
        public JSONObject clockIn(String faceImgBase64Str, LocalDateTime date, String userNo) { 
           // LocalDateTime date=DateTools.toLocalDateTime(date11);
    
            Attendence attendence = new Attendence();
            //查出所有的人脸的url
            List<User> attendenceList = userMapper.selectAll();
            List<String> faceUrlList = attendenceList.stream().map(User::getUserFace).collect(Collectors.toList());
    
            AipFace client = null;
            try { 
                client = new AipFace(Constants.APP_ID, Constants.API_KEY, Constants.SECRET_KEY);
            } catch (Exception e) { 
                throw new CommonJsonException(ErrorEnum.E_3002);
            }
            //人脸识别
            boolean status = FaceRecogUtil.faceRecog(faceUrlList, client, faceImgBase64Str);
            if (status == true) {   //人脸匹配成功
    
                //查出规定时间
                LocalTime ontime = onTimeMapper.selectAll().get(0).getSpecifiedOnDutyTime();
                LocalTime offtime = onTimeMapper.selectAll().get(0).getSpecifiedOffDutyTime();
                LocalTime time=date.toLocalTime();
    
                if (time.compareTo(ontime) > 0 && time.compareTo(time.parse("12:00")) < 0) { 
                    //迟到了
                    attendence.setOnDutyTimeStatus(0);
                    attendence.setOnDutyTime(date);
                } else if (date.toLocalTime().compareTo(ontime) < 0 && date.toLocalTime().compareTo(LocalTime.parse("12:00")) < 0) { 
                    //准点上班
                    attendence.setOnDutyTimeStatus(1);
                    attendence.setOnDutyTime(date);
    
                } else if (date.toLocalTime().compareTo(offtime) < 0 && date.toLocalTime().compareTo(LocalTime.parse("12:00")) > 0) { 
                    //早退了
                    attendence.setOffDutyTimeStatus(0);
                    attendence.setOffDutyTime(date);
                } else { 
                    //准点下班
                    attendence.setOffDutyTimeStatus(1);
                    attendence.setOffDutyTime(date);
                }
                attendence.setSpecifiedOnDutyTime(ontime);
                attendence.setSpecifiedOffDutyTime(offtime);
                attendence.setUserNo(userNo);
                attendenceMapper.insert(attendence);
                return CommonUtil.successJson();
            } else { 
                return CommonUtil.errorJson(ErrorEnum.E_3001);
            }
        }
    
        @Override
        public JSONObject getcheckInRecords(String userNo) { 
            Attendence attendence=new Attendence();
            attendence.setUserNo(userNo);
            return CommonUtil.successJson(attendenceMapper.select(attendence));
        }
    
        @Override
        public JSONObject getcheckInRecords() { 
            return CommonUtil.successJson(onTimeMapper.selectAll());
        }
    
        @Override
        public JSONObject updatecheckInSpecific(OnTime onTime) { 
            return CommonUtil.successJson(onTimeMapper.updateByPrimaryKey(onTime));
        }
        //比对时间大小设置类的签到状态
    }

人脸识别工具

package org.nf.util;
    
    import com.baidu.aip.face.AipFace;
    import com.baidu.aip.face.MatchRequest;
    import org.json.JSONObject;
    
    import java.io.IOException;
    import java.util.ArrayList;
    import java.util.List;
    
    public class FaceRecogUtil { 
        public static boolean faceRecog(List<String> faceUrlList, AipFace client, String srcFace) { 
            /** * 前端传入base64加密后的string，后端不作处理 */
            /*try { srcFace=ImageHandler.getImageStr(srcFace); } catch (IOException e) { e.printStackTrace(); }*/
            for (String face : faceUrlList) { 
                try { 
                    String faceBase64 = ImageHandler.getImageStr(face);
                    MatchRequest srcReq = new MatchRequest(srcFace, "BASE64");
                    MatchRequest storeReq = new MatchRequest(faceBase64, "BASE64");
                    ArrayList<MatchRequest> requests = new ArrayList<MatchRequest>();
                    requests.add(srcReq);
                    requests.add(storeReq);
                    JSONObject result = client.match(requests);
    // System.out.println(face+"---------------------");
    // System.out.println(result);
    // System.out.println(" ");
                    Double bb=0.00;
                    JSONObject o=null;
                    try { 
                         o= (JSONObject) result.get("result");
                        bb=(Double) o.get("score");
                    }catch (Exception e){ 
                        if(o!=null&&(Integer)o.get("score")==100) { 
                            //return false;
                            bb = 100.0;
                        }
                    }
                    //System.out.println(bb);
                    if(bb>70) return true;
                } catch (IOException e) { 
                    e.printStackTrace();
                }
            }
            return false;
        }
    }

Constants :百度api密钥

package org.nf.util.constants;
    
    /** * @author: hxy * @description: 通用常量类, 单个业务的常量请单开一个类, 方便常量的分类管理 * @date: 2017/10/24 10:15 */
    public class Constants { 
    
    	public static final String SUCCESS_CODE = "100";
    	public static final String SUCCESS_MSG = "请求成功";
    
    	public static final String PERMISSION_CODE = "300";
    	public static final String PERMISSION_MSG = "权限不足";
    
    	public static final String HANDLE_CODE = "400";
    	public static final String HANDLE_MSG = "处理异常";
    
    	public static final String SERVER_CODE = "500";
    	public static final String SERVER_MSG = "服务器异常";
    
    	/** * session中存放用户信息的key值 */
    	public static final String SESSION_USER_INFO = "userInfo";
    	public static final String SESSION_USER_PERMISSION = "userPermission";
    
    	/** * api文档 * http://ai.baidu.com/ai-doc/FACE/8k37c1rqz#%E4%BA%BA%E8%84%B8%E5%AF%B9%E6%AF%94 * * 百度人脸识别api */
    	//设置APPID/AK/SK
    	public static final String APP_ID = "18093919";
    	public static final String API_KEY = "SDE0UZSXaS6n9iLFMm7YM0EC";
    	public static final String SECRET_KEY = "Ifr4ecYX9MkaiwZm45nqiDwIFS8HHZ8z";
    }

前端界面

<template>
      <div id="attend">
        <div id="attend-image">
            <div>
                <video id="video" width="400px" height="400px" autoplay="autoplay"></video>
            </div>
            <div>
                <canvas id="canvas" height="400px" width="400px"></canvas>
            </div>
        </div>
        <div id="attend-button">
            <input type="button" value="开启" @click="getMedia">
            <input type="button" value="拍照" @click="takePhoto">
        </div>
      </div>
    </template>
    
    <script>
    // import { Base64 } from 'js-base64'
    import { getNowFormatDate} from '@/common/dateconvent.js'
    import { faceAttence} from '@/api/user.js'
    
    export default { 
        methods: { 
            getMedia () { 
                let constraints = { 
                    //参数
                    video: { width: 400, height: 400},
                    audio: true
                }
                //获得video摄像头区域
                let video = document.getElementById("video");
                //返回的Promise对象
              //let promise= MediaDevices.getUserMedia();
                let promise = navigator.mediaDevices.getUserMedia(constraints);
               // let promise = navigator.mediaDevices.getUserMedia(constraints);
               //then()异步，调用MediaStream对象作为参数
                promise.then(function (MediaStream) { 
                    video.srcObject = MediaStream;
                    video.play();
                });
            },
            takePhoto () { 
                //获得Canvas对象
                let video = document.getElementById("video");
                let canvas = document.getElementById("canvas");
                let ctx = canvas.getContext('2d');
                //绘图
                ctx.drawImage(video, 0, 0, 400, 400);
                canvas.toBlob(function (blob) { 
                    let fileReader = new FileReader()
                    fileReader.readAsDataURL(blob)
                    fileReader.onload = function () { 
                        let code = this.result
                     let codeP= code.substring(22,code.length);
                        let parameter={ 
                          faceImgBase64Str:codeP,
                          date:  getNowFormatDate(),
                          userNo:JSON.parse(window.localStorage.getItem('USER_INFO')).userNo
                        }
                      faceAttence(parameter).then((data) => { 
                        alert("返回数据")
                        console.log(data)
                      })
    
                        //console.log(parameter)
                    }
                }, 'image/png')
            }
        }
    };
    </script>
    
    <style scoped>
    #attend { 
        height: 100%;
        width: 100%;
        box-sizing: border-box;
    }
    
    #attend-image { 
        display: grid;
        grid-template-columns: 1fr 1fr;
        height: 400px;
        width: 800px;
    }
    
    #attend-button { 
        margin-top: 20px;
    }
    
    #video { 
        border: 1px solid green;
    }
    
    </style>

[api]: http://ai.baidu.com/ai-doc/FACE/8k37c1rqz#%E4%BA%BA%E8%84%B8%E5%AF%B9%E6%AF%94
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