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[项目] 行空板 ESP32智能眼镜

【项目背景】
阿尔茨海默病（AD）是老年期痴呆最常见的一种类型，患者思维、记忆和独立性会因此受损，影响生活质量以及死亡，FDA说“这是一种毁灭性疾病”。从全球来看，据国际阿尔茨海默病协会（ADI）发布的《世界阿尔茨海默病2018年报告》显示，目前全世界至少有5000万的痴呆患者，到2050年预计将达到1.52亿，其中约60%-70%为阿尔茨海默病患者。
面对眼前的亲人，而不知他/她是谁，是让人最痛苦的。
本项目提供了一种用于阿尔茨海默症病人的智能眼镜，人脸识别功能和智能语音功能可帮助病人分辨熟人。
【项目设计】

利用ESP32 EYE采集视频图像，将图像通过TCP传送到行空板上显示，通过按键截取图像传到时百度云进行人脸识别，将识别的文字通过pyttsx3库进行语音合成，行空板通过蓝牙连接蓝牙耳机，告知眼前的这个亲人是谁。
【项目硬件】
ESP32 EYE、行空板

【ESP32 EYE程序代码】
在Arduino IDE中修改ESP32摄像头示例：
1.行空板连接WIFI，获取IP地址，修改下面代码中的IP地址。

// 用于上传照片的服务器地址，行空板IP地址
const char *serverName = "http://192.168.43.120:9000/upload";
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2.注册Easy IOT物联网平台，获取相关参数，修改物联网配置程序代码。

EspMQTTClient client(
  "wifi名",
  "wifi密码",
  "182.254.130.180",  // MQTT Broker server ip
  "X8jykxFnR",   // Iot_id(user)
  "u8jskbFngz",   // Iot_pwd(password)
  "yuntian365",     // Client name that uniquely identify your device
  1883              // The MQTT port, default to 1883.
);
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3.接收行空板通过物联网平台发送的指令，设置标识，主循环体程序根据标识执行任务。

void onConnectionEstablished()
{
  // Subscribe to "mytopic/wildcardtest/#" and display received message to Serial
  client.subscribe("1DXAmWJ4g", [](const String & topic, const String & payload) {
    Serial.println("(From wildcard) topic: " + topic + ", payload: " + payload);
    if(payload=="a"){
      bs=1;
    }
    if(payload=="b"){
      bs=0;
    }
  });
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4.主循环体程序，开启和关闭向行空板传送图像。

void loop() {
  if(bs==1){
 // 拍摄照片
    camera_fb_t *fb = esp_camera_fb_get();
    if (!fb)
    {
      Serial.println("获取摄像头帧缓冲失败");
      return;
    }
    // 建立HTTP客户端
    HTTPClient http;
    // 将照片上传到服务器
    http.begin(serverName);
    http.addHeader("Content-Type", "image/jpeg");
    int httpResponseCode = http.POST(fb->buf, fb->len);
    if (httpResponseCode > 0)
    {
      Serial.printf("照片上传成功，服务器返回代码：%d\n", httpResponseCode);

      // 再闪一下提示上传成功
    
    }
    else
    {
      Serial.printf("照片上传失败，错误代码：%s\n", http.errorToString(httpResponseCode).c_str());
    }
    http.end();

    // 释放帧缓冲
    esp_camera_fb_return(fb);
  }
   client.loop();
}
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5.完整程序

#include "esp_camera.h"
#include <WiFi.h>

#include <HTTPClient.h>

// 用于上传照片的服务器地址，行空板IP地址
const char *serverName = "http://192.168.43.120:9000/upload";
// ===================
// Select camera model

#define CAMERA_MODEL_ESP_EYE // Has PSRAM

#include "camera_pins.h"
#include "EspMQTTClient.h"

EspMQTTClient client(
  "sxs",
  "smj080823",
  "182.254.130.180",  // MQTT Broker server ip
  "X8jykxFnR",   // Can be omitted if not needed
  "u8jskbFngz",   // Can be omitted if not needed
  "yuntian365",     // Client name that uniquely identify your device
  1883              // The MQTT port, default to 1883. this line can be omitted
);
// ===========================
// Enter your WiFi credentials
// ===========================
const char* ssid = "sxs";
const char* password = "smj080823";

int bs;

void setup() {
  Serial.begin(115200);
  Serial.setDebugOutput(true);
  Serial.println();
 
  camera_config_t config;
  config.ledc_channel = LEDC_CHANNEL_0;
  config.ledc_timer = LEDC_TIMER_0;
  config.pin_d0 = Y2_GPIO_NUM;
  config.pin_d1 = Y3_GPIO_NUM;
  config.pin_d2 = Y4_GPIO_NUM;
  config.pin_d3 = Y5_GPIO_NUM;
  config.pin_d4 = Y6_GPIO_NUM;
  config.pin_d5 = Y7_GPIO_NUM;
  config.pin_d6 = Y8_GPIO_NUM;
  config.pin_d7 = Y9_GPIO_NUM;
  config.pin_xclk = XCLK_GPIO_NUM;
  config.pin_pclk = PCLK_GPIO_NUM;
  config.pin_vsync = VSYNC_GPIO_NUM;
  config.pin_href = HREF_GPIO_NUM;
  config.pin_sccb_sda = SIOD_GPIO_NUM;
  config.pin_sccb_scl = SIOC_GPIO_NUM;
  config.pin_pwdn = PWDN_GPIO_NUM;
  config.pin_reset = RESET_GPIO_NUM;
  config.xclk_freq_hz = 20000000;
  config.frame_size = FRAMESIZE_UXGA;
  config.pixel_format = PIXFORMAT_JPEG; // for streaming
  //config.pixel_format = PIXFORMAT_RGB565; // for face detection/recognition
  config.grab_mode = CAMERA_GRAB_WHEN_EMPTY;
  config.fb_location = CAMERA_FB_IN_PSRAM;
  config.jpeg_quality = 12;
  config.fb_count = 1;
  
  // if PSRAM IC present, init with UXGA resolution and higher JPEG quality
  //                      for larger pre-allocated frame buffer.
  if(config.pixel_format == PIXFORMAT_JPEG){
    if(psramFound()){
      config.jpeg_quality = 10;
      config.fb_count = 2;
      config.grab_mode = CAMERA_GRAB_LATEST;
    } else {
      // Limit the frame size when PSRAM is not available
      config.frame_size = FRAMESIZE_SVGA;
      config.fb_location = CAMERA_FB_IN_DRAM;
    }
  } else {
    // Best option for face detection/recognition
    config.frame_size = FRAMESIZE_240X240;
#if CONFIG_IDF_TARGET_ESP32S3
    config.fb_count = 2;
#endif
  }

#if defined(CAMERA_MODEL_ESP_EYE)
  pinMode(13, INPUT_PULLUP);
  pinMode(14, INPUT_PULLUP);
#endif

  // camera init
  esp_err_t err = esp_camera_init(&config);
  if (err != ESP_OK) {
    Serial.printf("Camera init failed with error 0x%x", err);
    return;
  }

  sensor_t * s = esp_camera_sensor_get();
  // initial sensors are flipped vertically and colors are a bit saturated
  if (s->id.PID == OV3660_PID) {
    s->set_vflip(s, 1); // flip it back
    s->set_brightness(s, 1); // up the brightness just a bit
    s->set_saturation(s, -2); // lower the saturation
  }
  // drop down frame size for higher initial frame rate
  if(config.pixel_format == PIXFORMAT_JPEG){
    s->set_framesize(s, FRAMESIZE_QVGA);
  }

#if defined(CAMERA_MODEL_M5STACK_WIDE) || defined(CAMERA_MODEL_M5STACK_ESP32CAM)
  s->set_vflip(s, 1);
  s->set_hmirror(s, 1);
#endif

#if defined(CAMERA_MODEL_ESP32S3_EYE)
  s->set_vflip(s, 1);
#endif



  WiFi.begin(ssid, password);
  WiFi.setSleep(false);

  while (WiFi.status() != WL_CONNECTED) {
    delay(500);
    Serial.print(".");
  }
  Serial.println("");
  Serial.println("WiFi connected");

  bs=0;
  client.enableDebuggingMessages(); // Enable debugging messages sent to serial output
  client.enableHTTPWebUpdater(); // Enable the web updater. User and password default to values of MQTTUsername and MQTTPassword. These can be overridded with enableHTTPWebUpdater("user", "password").
  client.enableOTA(); // Enable OTA (Over The Air) updates. Password defaults to MQTTPassword. Port is the default OTA port. Can be overridden with enableOTA("password", port).
  client.enableLastWillMessage("MNpA1p_4R", "I am going offline");  // You can activate the retain flag by setting the third parameter to true
 
}
void onConnectionEstablished()
{
  // Subscribe to "mytopic/wildcardtest/#" and display received message to Serial
  client.subscribe("1DXAmWJ4g", [](const String & topic, const String & payload) {
    Serial.println("(From wildcard) topic: " + topic + ", payload: " + payload);
    if(payload=="a"){
      bs=1;
    }
    if(payload=="b"){
      bs=0;
    }
  });

  // Publish a message to "mytopic/test"
  client.publish("k_eT7HUVR", "This is a message"); // You can activate the retain flag by setting the third parameter to true

  // Execute delayed instructions
  client.executeDelayed(5 * 1000, []() {
    client.publish("k_eT7HUVR", "This is a message sent 5 seconds later");
  });
}
void loop() {
  if(bs==1){
 // 拍摄照片
    camera_fb_t *fb = esp_camera_fb_get();
    if (!fb)
    {
      Serial.println("获取摄像头帧缓冲失败");
      return;
    }
    // 建立HTTP客户端
    HTTPClient http;
    // 将照片上传到服务器
    http.begin(serverName);
    http.addHeader("Content-Type", "image/jpeg");
    int httpResponseCode = http.POST(fb->buf, fb->len);
    if (httpResponseCode > 0)
    {
      Serial.printf("照片上传成功，服务器返回代码：%d\n", httpResponseCode);

      // 再闪一下提示上传成功
    
    }
    else
    {
      Serial.printf("照片上传失败，错误代码：%s\n", http.errorToString(httpResponseCode).c_str());
    }
    http.end();

    // 释放帧缓冲
    esp_camera_fb_return(fb);
  }
   client.loop();
}

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【百度智能云】
1.申请账号，获取相关参数。
行空板 ESP32智能眼镜图4

2.可视人脸库，建用户，添加人脸。
行空板 ESP32智能眼镜图5

3.增加用户信息


from aip import AipFace
""" 你的 APPID AK SK """
APP_ID = '17893916'
API_KEY = 'uEunHuOhiSTeYHfZcdcUIq60'
SECRET_KEY = 'oOPx8FerIBGx4wVOYE3khD9rNLzPRGGy'
client = AipFace(APP_ID, API_KEY, SECRET_KEY)

image = "37c0a46ef66c11b09452956dfd653820"

imageType = "FACE_TOKEN"

groupId = "AI1"

userId = "yuntian"
options = {}
options["user_info"] = "yuntian"
""" 调用人脸更新 """
res=client.updateUser(image, imageType, groupId, userId, options)
print(res)
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【行空板程序】
1.测试接收图片，传百度云，打印信息


from aip import AipFace
import myimg

from flask import Flask, request
from unihiker import GUI
import siot
import time
import base64
u_gui=GUI()
i=0
显图=u_gui.draw_image(image="back.png",h=320,x=0,y=0)
app = Flask(__name__)
@app.route('/upload', methods=['POST'])
def upload():
   try:
        image = request.data
        # 保存照片到指定目录
       
        with open('base.png', 'wb') as f:
            f.write(image)
            f.close()
        显图.config(image="base.png")      
        return "照片上传成功", 200
        
   except Exception as e:
       return "照片上传失败", 500      
     
# 事件回调函数
def on_buttona_click_callback():
    global i
    if i==0:
       i=1
       siot.publish(topic="1DXAmWJ4g", data="a")
# 事件回调函数
def on_buttonb_click_callback():
    global i
    if i==1:
       i=0
       
       siot.publish(topic="1DXAmWJ4g", data="b")

       
       with open('base.png', 'rb') as f:
            encoded_string = base64.b64encode(f.read())
            encoded_string = encoded_string.decode("utf-8")
            f.close()
       image = encoded_string
       """ 调用人脸检测 """
       imageType = "BASE64"
       res=client.detect(image, imageType);
       print(res)
       if(res['error_code']==0):
        if(res['result']['face_num']==1):
            print(res['result']['face_list'][0]['face_token'])
            print(res['result']['face_list'][0]['location'])
       显图.config(image="base.png")
"""https://ai.baidu.com/ai-doc/FACE/ek37c1qiz"""
""" 你的 APPID AK SK """
APP_ID = '17893916'
API_KEY = 'uEunHuOhiSTeYHfZcdcUIq60'
SECRET_KEY = 'oOPx8FerIBGx4wVOYE3khD9rNLzPRGGy'

client = AipFace(APP_ID, API_KEY, SECRET_KEY)

if __name__ == '__main__':
    siot.init(client_id="yuntian367",server="iot.dfrobot.com.cn",port=1883,user="X8jykxFnR",password="u8jskbFngz")
    siot.connect()
    siot.loop()
    
    u_gui.on_a_click(on_buttona_click_callback)
    u_gui.on_b_click(on_buttonb_click_callback)
    try:
       app.run(host='192.168.31.71', port=9000)
    except Exception as e:
       print("照片上传失败：", str(e))
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2.增加开机画面，并在图像上画识别到人脸方框


from aip import AipFace
import myimg

from flask import Flask, request
from unihiker import GUI
import siot
import time
import base64
import cv2
u_gui=GUI()
i=0
显图=u_gui.draw_image(image="back.png",h=320,x=0,y=0)
画框=u_gui.draw_rect(x=0,y=0,w=0,h=0,width=4,color="#0000FF")
app = Flask(__name__)
@app.route('/upload', methods=['POST'])
def upload():
   try:
        image = request.data
        # 保存照片到指定目录
       
        with open('base.png', 'wb') as f:
            f.write(image)
        
            f.close()
        img = cv2.imread('base.png')
        #img_re = cv2.resize(img, (240, 320))
        height, width = img.shape[:2]
        rotation_matrix = cv2.getRotationMatrix2D((120,120), -90, 1)
        rotated_image = cv2.warpAffine(img, rotation_matrix, (240,320))
        cv2.imwrite("base.png",rotated_image)
        显图.config(image="base.png")
        return "照片上传成功", 200
        
   except Exception as e:
       print(str(e))
       return "照片上传失败", 500      
     
# 事件回调函数
def on_buttona_click_callback():
    global i
    if i==0:
       i=1
       
       画框.config(width=0)
       siot.publish(topic="1DXAmWJ4g", data="a")
# 事件回调函数
def on_buttonb_click_callback():
    global i
    if i==1:
       i=0
       
       siot.publish(topic="1DXAmWJ4g", data="b")

       
       with open('base.png', 'rb') as f:
            encoded_string = base64.b64encode(f.read())
            encoded_string = encoded_string.decode("utf-8")
            f.close()
       image = encoded_string
       """ 调用人脸检测 """
       imageType = "BASE64"
       res=client.detect(image, imageType);
       print(res)
       if(res['error_code']==0):
        if(res['result']['face_num']==1):
            print(res['result']['face_list'][0]['face_token'])
            print(res['result']['face_list'][0]['location'])
            left=res['result']['face_list'][0]['location']['left']
            top=res['result']['face_list'][0]['location']['top']
            width=res['result']['face_list'][0]['location']['width']
            height=res['result']['face_list'][0]['location']['height']
            显图.config(image="base.png")
            画框.config(width=3)
            画框.config(x=left-height)
            画框.config(y=top)
            画框.config(w=height)
            画框.config(h=width)

"""https://ai.baidu.com/ai-doc/FACE/ek37c1qiz"""
""" 你的 APPID AK SK """
APP_ID = '17893916'
API_KEY = 'uEunHuOhiSTeYHfZcdcUIq60'
SECRET_KEY = 'oOPx8FerIBGx4wVOYE3khD9rNLzPRGGy'

client = AipFace(APP_ID, API_KEY, SECRET_KEY)

if __name__ == '__main__':
    siot.init(client_id="yuntian367",server="iot.dfrobot.com.cn",port=1883,user="X8jykxFnR",password="u8jskbFngz")
    siot.connect()
    siot.loop()
    
    u_gui.on_a_click(on_buttona_click_callback)
    u_gui.on_b_click(on_buttonb_click_callback)
    try:
       app.run(host='192.168.31.71', port=9000)
    except Exception as e:
       print("照片上传失败：", str(e))
复制代码

3.识别人脸信息并打印


from aip import AipFace
import name

from flask import Flask, request
from unihiker import GUI
import siot
import time
import base64
import cv2
u_gui=GUI()
i=0
显图=u_gui.draw_image(image="back.png",h=320,x=0,y=0)
画框=u_gui.draw_rect(x=0,y=0,w=0,h=0,width=4,color="#0000FF")
app = Flask(__name__)
@app.route('/upload', methods=['POST'])
def upload():
   try:
        image = request.data
        # 保存照片到指定目录
       
        with open('base.png', 'wb') as f:
            f.write(image)
        
            f.close()
        img = cv2.imread('base.png')
        #img_re = cv2.resize(img, (240, 320))
        height, width = img.shape[:2]
        rotation_matrix = cv2.getRotationMatrix2D((120,120), -90, 1)
        rotated_image = cv2.warpAffine(img, rotation_matrix, (240,320))
        cv2.imwrite("base.png",rotated_image)
        显图.config(image="base.png")
        return "照片上传成功", 200
        
   except Exception as e:
       print(str(e))
       return "照片上传失败", 500      
     
# 事件回调函数
def on_buttona_click_callback():
    global i
    if i==0:
       i=1
       
       画框.config(width=0)
       siot.publish(topic="1DXAmWJ4g", data="a")
# 事件回调函数
def on_buttonb_click_callback():
    global i
    if i==1:
       i=0
       
       siot.publish(topic="1DXAmWJ4g", data="b")

       
       with open('base.png', 'rb') as f:
            encoded_string = base64.b64encode(f.read())
            encoded_string = encoded_string.decode("utf-8")
            f.close()
       image = encoded_string
       """ 调用人脸检测 """
       imageType = "BASE64"
       res=client.detect(image, imageType);
       print(res)
       if(res['error_code']==0):
        if(res['result']['face_num']==1):
            print(res['result']['face_list'][0]['face_token'])
            print(res['result']['face_list'][0]['location'])
            left=res['result']['face_list'][0]['location']['left']
            top=res['result']['face_list'][0]['location']['top']
            width=res['result']['face_list'][0]['location']['width']
            height=res['result']['face_list'][0]['location']['height']
            显图.config(image="base.png")
            画框.config(width=3)
            画框.config(x=abs(height-left))
            画框.config(y=top)
            画框.config(w=height)
            画框.config(h=width)

            image=res['result']['face_list'][0]['face_token']
            groupIdList = "AI1"
            imageType = "FACE_TOKEN"
            """ 如果有可选参数 """
            options = {}
            options["match_threshold"] = 70
            options["quality_control"] = "NORMAL"
            options["liveness_control"] = "LOW"
            
            options["max_user_num"] =1

            """ 带参数调用人脸搜索 """
            res1=client.search(image, imageType, groupIdList, options)

            if(res1['error_code']==0):
                user_id=res1['result']['user_list'][0]['user_id']
                if(user_id in name.name_id):
                    print(name.name_id[user_id])
           
"""https://ai.baidu.com/ai-doc/FACE/ek37c1qiz"""
""" 你的 APPID AK SK """
APP_ID = '17893916'
API_KEY = 'uEunHuOhiSTeYHfZcdcUIq60'
SECRET_KEY = 'oOPx8FerIBGx4wVOYE3khD9rNLzPRGGy'

client = AipFace(APP_ID, API_KEY, SECRET_KEY)
if __name__ == '__main__':
    siot.init(client_id="yuntian367",server="iot.dfrobot.com.cn",port=1883,user="X8jykxFnR",password="u8jskbFngz")
    siot.connect()
    siot.loop()
    
    u_gui.on_a_click(on_buttona_click_callback)
    u_gui.on_b_click(on_buttonb_click_callback)
    try:
       app.run(host='192.168.31.71', port=9000)
    except Exception as e:
       print("照片上传失败：", str(e))
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4.行空板配置连接蓝牙音箱
论坛有配置文章，下面备注一下自己的操作记录。


#可以通过bluetoothctl实现，蓝牙设备之间的配对，bluetoothctl工具，类似一个shell工具，提供许多子命令集合。
#使用命令 agent on (推荐)选择要连接的设备类型或者去选择一个特定的类型: 如果你在 agent 命令后按下两次tab键, 你应该看到一些可以使用的类型列表,比如DisplayOnly KeyboardDisplay NoInputNoOutput DisplayYesNo KeyboardOnly off on.
#使用命令 default-agent 去确认并完成要连接的设备类型
#power on蓝牙适配器上电，打开蓝牙，蓝牙默认是关闭的，重启后默认也是关闭的
#scan on/off开启蓝牙适配的扫描过程，扫描周边的蓝牙设备。
bluetoothctl
agent on
default-agent
power on
#依次键入以下命令，进行设备配对,trust 授信蓝牙设备,pair配对设备，connect连接设备
trust 41:42:48:46:68:C7
pair 41:42:48:46:68:C7
connect 41:42:48:46:68:C7
#退出
exit
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5.连接蓝牙音箱，识别成功后，语音输出亲人信息。（最终完整程序）


from aip import AipFace
import name

from flask import Flask, request
from unihiker import GUI
import siot
import time
import base64
import cv2
#语音播放 
import pyttsx3

u_gui=GUI()
i=0
显图=u_gui.draw_image(image="back.png",h=320,x=0,y=0)
画框=u_gui.draw_rect(x=0,y=0,w=0,h=0,width=4,color="#0000FF")
app = Flask(__name__)
@app.route('/upload', methods=['POST'])
def upload():
   try:
        image = request.data
        # 保存照片到指定目录
       
        with open('base.png', 'wb') as f:
            f.write(image)
        
            
        img = cv2.imread('base.png')
        #img_re = cv2.resize(img, (240, 320))
        height, width = img.shape[:2]
        rotation_matrix = cv2.getRotationMatrix2D((120,120), -90, 1)
        rotated_image = cv2.warpAffine(img, rotation_matrix, (240,320))
        cv2.imwrite("base.png",rotated_image)
        显图.config(image="base.png")
        return "照片上传成功", 200
        
   except Exception as e:
       print(str(e))
       return "照片上传失败", 500      
     
# 事件回调函数
def on_buttona_click_callback():
    global i
    if i==0:
       i=1
       
       画框.config(width=0)
       siot.publish(topic="1DXAmWJ4g", data="a")
# 事件回调函数
def on_buttonb_click_callback():
    global i
    if i==1:
       i=0
       
       siot.publish(topic="1DXAmWJ4g", data="b")

       
       with open('base.png', 'rb') as f:
            encoded_string = base64.b64encode(f.read())
            encoded_string = encoded_string.decode("utf-8")
           
       image = encoded_string
       """ 调用人脸检测 """
       imageType = "BASE64"
       res=client.detect(image, imageType);
       print(res)
       if(res['error_code']==0):
        if(res['result']['face_num']==1):
            print(res['result']['face_list'][0]['face_token'])
            print(res['result']['face_list'][0]['location'])
            left=res['result']['face_list'][0]['location']['left']
            top=res['result']['face_list'][0]['location']['top']
            width=res['result']['face_list'][0]['location']['width']
            height=res['result']['face_list'][0]['location']['height']
            显图.config(image="base.png")
            画框.config(width=3)
            画框.config(x=abs(height-left))
            画框.config(y=top)
            画框.config(w=height)
            画框.config(h=width)

            image=res['result']['face_list'][0]['face_token']
            groupIdList = "AI1"
            imageType = "FACE_TOKEN"
            """ 如果有可选参数 """
            options = {}
            options["match_threshold"] = 70
            options["quality_control"] = "NORMAL"
            options["liveness_control"] = "LOW"
            
            options["max_user_num"] =1

            """ 带参数调用人脸搜索 """
            res1=client.search(image, imageType, groupIdList, options)
            print(res1)
            if(res1['error_code']==0):
                user_id=res1['result']['user_list'][0]['user_id']
                score=res1['result']['user_list'][0]['score']
                if score>60:
                 print(user_id)
                 if user_id in name.name_id:
                    print(name.name_id[user_id])
                    pyttsx3.speak("这个人是："+name.name_id[user_id])
                    
                else:
                    pyttsx3.speak("请重新识别")
            elif res1['error_code']==223120:
                pyttsx3.speak("请不要使用照片进行识别")
"""https://ai.baidu.com/ai-doc/FACE/ek37c1qiz"""
""" 你的 APPID AK SK """
APP_ID = '17893916'
API_KEY = 'uEunHuOhiSTeYHfZcdcUIq60'
SECRET_KEY = 'oOPx8FerIBGx4wVOYE3khD9rNLzPRGGy'

client = AipFace(APP_ID, API_KEY, SECRET_KEY)
if __name__ == '__main__':
    siot.init(client_id="yuntian367",server="iot.dfrobot.com.cn",port=1883,user="X8jykxFnR",password="u8jskbFngz")
    siot.connect()
    siot.loop()
    
    u_gui.on_a_click(on_buttona_click_callback)
    u_gui.on_b_click(on_buttonb_click_callback)
    try:
       app.run(host='192.168.31.70', port=9000)
    except Exception as e:
       print("照片上传失败：", str(e))
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