基于视觉识别的测温放聚集场馆控制系统

视频演示：

【项目背景】

      2020年新冠疫情肆虐，为了防范疫情，有效控制疫情的传播，人们对一些场馆实行了封闭。但是对于有些没法封闭的场馆，也是提出了一些要求。例如戴口罩、测体温、不聚集等。于是我们设计了一款针对此区域的控制系统——基于视觉识别的测温防聚集场馆控制系统。

【项目展示】

【功能简介】

（1）人脸识别，测温预警：检测人脸是否已经登记且体温正常，打开大门放行。

（2）放聚集提醒：根据防疫要求，当摄像头画面在指定的区域内出现的人数超过三个，进行提示。

（3）语音播报：系统带有语音播报功能

【硬件材料】

序号名	名称	数量
1	Arduino Uno	2
2	IO 传感器扩展板 V7.1	2
3	HuskyLens AI 视觉传感器	2
4	非接触测温	2
5	语音合成模块	2
6	电磁锁	1
7	小喇叭	2
8	掌控板	1
9	铜柱、螺丝	若干
10	奥松板	若干
11	7.4V锂电池	2

【制作过程】

      1.系统设计：本场馆控制系统使用HuskyLens AI 视觉传感器识别人脸，通过非接触温度传感器检测人体体温，当两者都满足时放行；进入场馆内时，当在一定区域出现3个人脸的画面，系统认为此时出现了人员聚集，语音报备不要聚集。

      2.结构设计

3.电路连线：

       4.代码编写

代码编写如下所示分为人脸识别测温程序和信息反馈程序、防聚集程序。

（1）人脸识别测温程序（主程序和子程序）

[mw_shl_code=cpp,false]/*!
* MindPlus
* uno
*
*/
#include <UNO_Obloq.h>
#include <SoftwareSerial.h>
#include <DFRobot_SYN6288.h>
#include <DFRobot_MLX90614.h>
#include <DFRobot_HuskyLens.h>
// 静态常量
const String topics[5] = {"wsiSWUWMR","","","",""};
// 创建对象
UNO_Obloq         olq;
SoftwareSerial    softSerial(2, 3);
DFRobot_HuskyLens huskylens;
DFRobot_SYN6288   syn6288;
DFRobot_MLX90614  mlx90614;


// 主程序开始
void setup() {
        softSerial.begin(9600);
  olq.startConnect(&softSerial, "SRZX-WIFI", "20131209", "BJm0d8awUG", "HkVCuIaDUM", topics, "iot.dfrobot.com.cn", 1883);
        huskylens.beginI2CUntilSuccess();
        huskylens.writeAlgorithm(ALGORITHM_FACE_RECOGNITION);
        syn6288.begin(&Serial, 0, 1, 4);
        syn6288.setVolume(true, 16);
        syn6288.playText("系统初始化成功", 1);
}
void loop() {
        huskylens.request();
        if ((huskylens.isAppear(1,HUSKYLENSResultBlock) && (mlx90614.getObjectTempC()<37))) {
                syn6288.playText((String("NO1温度") + String(mlx90614.getObjectTempC())), 0);
                olq.publish(olq.topic_0, "NO1");
                digitalWrite(7, HIGH);
                delay(2000);
                digitalWrite(7, LOW);
        }
        if ((huskylens.isAppear(2,HUSKYLENSResultBlock) && (mlx90614.getObjectTempC()<37))) {
                syn6288.playText((String("NO2温度") + String(mlx90614.getObjectTempC())), 0);
                olq.publish(olq.topic_0, "NO2");
                digitalWrite(7, HIGH);
                delay(2000);
                digitalWrite(7, LOW);
        }
        if ((huskylens.isAppear(3,HUSKYLENSResultBlock) && (mlx90614.getObjectTempC()<37))) {
                syn6288.playText((String("NO3温度") + String(mlx90614.getObjectTempC())), 0);
                olq.publish(olq.topic_0, "NO3");
                digitalWrite(7, HIGH);
                delay(2000);
                digitalWrite(7, LOW);
        }
        if ((huskylens.isAppear(4,HUSKYLENSResultBlock) && (mlx90614.getObjectTempC()<37))) {
                syn6288.playText((String("NO4温度") + String(mlx90614.getObjectTempC())), 0);
                olq.publish(olq.topic_0, "NO4");
                digitalWrite(7, HIGH);
                delay(2000);
                digitalWrite(7, LOW);
        }
        if ((30<mlx90614.getObjectTempC())) {
                syn6288.playText((String("体温异常") + String(mlx90614.getObjectTempC())), 0);
                huskylens.takePhotoToSDCard();
                olq.publish(olq.topic_0, "X");
                digitalWrite(7, LOW);
                delay(2000);
        }
}
[/mw_shl_code]

信息反馈程序

[mw_shl_code=cpp,false]/*!
* MindPlus
* mpython
*
*/
#include <MPython.h>
#include <DFRobot_Iot.h>
// 函数声明
void obloqMqttEventT0(String& message);
// 静态常量
const String topics[5] = {"wsiSWUWMR","","","",""};
const MsgHandleCb msgHandles[5] = {obloqMqttEventT0,NULL,NULL,NULL,NULL};
const uint8_t imageMatrix[][768] = {
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};
// 创建对象
DFRobot_Iot myIot;


// 主程序开始
void setup() {
        mPython.begin();
        myIot.setMqttCallback(msgHandles);
        myIot.wifiConnect("SRZX-WIFI", "20131209");
        delay(myIot.wifiStatus() * 1000);
        display.fillScreen(1);
        display.setCursor(22, 22);
        display.print("连接成功");
        delay(1000);
        myIot.init("iot.dfrobot.com.cn","BJm0d8awUG","","HkVCuIaDUM",topics,1883);
        myIot.connect();
        display.fillScreen(1);
}
void loop() {

}

// 事件回调函数
void obloqMqttEventT0(String& message) {
        if ((message==String("NO1"))) {
                display.fillScreen(1);
                display.drawImage(15, 0, 95, 64, imageMatrix[0]);
                delay(2000);
                display.fillScreen(1);
        }
        if ((message==String("NO2"))) {
                display.fillScreen(1);
                display.drawImage(15, 0, 80, 64, imageMatrix[1]);
                delay(2000);
                display.fillScreen(1);
        }
        if ((message==String("NO3"))) {
                display.fillScreen(1);
                display.drawImage(15, 0, 80, 64, imageMatrix[2]);
                delay(2000);
                display.fillScreen(1);
        }
        if ((message==String("NO4"))) {
                display.fillScreen(1);
                display.drawImage(15, 0, 80, 64, imageMatrix[3]);
                delay(2000);
                display.fillScreen(1);
        }
        if ((message==String("X"))) {
                display.fillScreen(1);
                display.drawImage(15, 0, 80, 64, imageMatrix[4]);
                delay(2000);
                buzz.play(DADADADUM, Once);
                display.fillScreen(1);
        }
}
[/mw_shl_code]

防聚集程序

[mw_shl_code=cpp,false]/*!
* MindPlus
* uno
*
*/
#include <UNO_Obloq.h>
#include <SoftwareSerial.h>
#include <DFRobot_SYN6288.h>
#include <DFRobot_HuskyLens.h>
// 静态常量
const String topics[5] = {"9POEJS_Zg","","","",""};
// 创建对象
UNO_Obloq         olq;
SoftwareSerial    softSerial(2, 3);
DFRobot_SYN6288   syn6288;
DFRobot_HuskyLens huskylens;


// 主程序开始
void setup() {
        softSerial.begin(9600);
  olq.startConnect(&softSerial, "SRZX-WIFI", "20131209", "BJm0d8awUG", "HkVCuIaDUM", topics, "iot.dfrobot.com.cn", 1883);
        syn6288.begin(&Serial, 0, 1, 4);
        syn6288.playText("系统初始化成功", 1);
        huskylens.beginI2CUntilSuccess();
        huskylens.writeAlgorithm(ALGORITHM_FACE_RECOGNITION);
}
void loop() {
        huskylens.request();
        if ((huskylens.readCount(HUSKYLENSResultBlock)>=3)) {
                olq.publish(olq.topic_0, "gather");
                delay(3000);
                syn6288.playText("请不要聚集！！", 15);
        }
}[/mw_shl_code]

      5.设备组装

第1步：拿出激光切割好的结构件，及相关电子件器材。

第2步：取出前面板，安装非接触测温传感器和HuskyLens AI 视觉传感器固定位螺丝。

第3步：在上一步基础上安装非接触测温传感器和视觉识别传感器。

第4步：安装前面板背面的门锁。

第5步：拿出主控器及继电器安装在侧面板上。

第6步：将四个侧面板拼接与底板组合。

第7步：拿出另外一只HuskyLens AI 视觉传感器固定在顶板对应孔位上。

第8步：安装门及铰链。

7.测试与运行

分别使用四张照片作为测试的对象（因为此处可以用真正的人脸）但进入场馆后不好演示，所以使用了这种方式。

wow好棒！支持支持！！！

这个哈士奇犯了什么罪么……

DFHJM_IpFmV 发表于 2020-7-24 13:23
这个哈士奇犯了什么罪么……

咋了，这么玩不香吗

二哈改造有风险，为领导捏把汗。。。。。。。

gray6666 发表于 2020-7-24 17:57
二哈改造有风险，为领导捏把汗。。。。。。。

没问题

二哈承受了这个年纪不应该承受的风险和压力。

二哈这么改造不怕排线折了？

1.为什么要用两块锂电池？两套系统可以用一块电池供电啊
2.这个项目投资有些大啊~两块二哈。。。。。。
3.希望这个系统能投入实际使用
4.以上是我的几点小小建议，欢迎指正

20060606 发表于 2020-7-27 10:09
1.为什么要用两块锂电池？两套系统可以用一块电池供电啊
2.这个项目投资有些大啊~两块二哈。。。。。。
3. ...

厉害厉害

hnyzcj 发表于 2020-7-24 16:20
咋了，这么玩不香吗

但是铁熊说不可以掰

二哈在哪里？我眼睛坏了吗？？？

佛系唐法官 发表于 2020-8-9 19:18
二哈在哪里？我眼睛坏了吗？？？

二哈翻盖玩

hnyzcj 发表于 2020-8-10 00:01
二哈翻盖玩

哦哦哦，看见了，眼睛之前聋了。

您好，老师，我想请教一下，我模仿您写了了个二哈检测聚集3个人自动打开继电器，但是一直没成功，您能帮忙看下是什么原因嘛

想做但是预算有点高

又学到一手，拆二哈 是不是换摄像头更灵活点？不过这样要增加成本了

网络白丁 发表于 2021-5-21 08:27
又学到一手，拆二哈 是不是换摄像头更灵活点？不过这样要增加成本了

可以，不费成本，不过别弄坏就行了