esp32cam -＞服务器 | 手机 -＞服务器直接服务器传输图片

服务器先下载python

：

一、Python环境搭建（CentOS/Ubuntu通用）

一条一条执行

安装基础依赖

# CentOS

sudo yum install gcc openssl-devel bzip2-devel libffi-devel zlib-devel

# Ubuntu

sudo apt update && sudo apt install build-essential libssl-dev libffi-dev zlib1g-dev

下载并编译Python 3.7+

wget https://www.python.org/ftp/python/3.7.12/Python-3.7.12.tgz

tar xvf Python-3.7.12.tgz

cd Python-3.7.12

./configure --enable-optimizations

make -j 2 # 根据CPU核心数调整

sudo make altinstall # 保留系统默认Python

验证安装

python3.7 -V # 应显示Python 3.7.12

需要配置的环境：

创建目录并设置权限

mkdir -p images

chmod 777 images #一定要确保images的777 因为它原理是esp32上传图片到images的文件夹

#由用户访问5000端口时反回最后一张图片给他

安装依赖

pip install flask

运行服务（后台运行）

nohup python app.py > server.log 2>&1 &

也可以直接 python3 cam_server.py一次性调用

使用步骤：

服务器端：

bash

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# 创建目录并设置权限
mkdir -p images
chmod 777 images

# 安装依赖
pip install flask

# 运行服务（后台运行）
nohup python app.py > server.log 2>&1 &

Arduino端：

使用PlatformIO或Arduino IDE上传代码
打开串口监视器查看连接状态

手机访问：

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http://159.75.100.98:5000

关键修正点说明：

服务器端：

使用send_from_directory函数前必须从flask导入
简化了图片接收逻辑，直接读取原始数据
添加时间戳防止浏览器缓存
设置严格的文件夹权限

Arduino端：

优化多部分格式的构建方式
确保分三次发送完整请求
增加更详细的错误提示

如果仍遇到问题，请按以下步骤排查：

检查服务器5000端口是否开放
查看服务器日志：tail -f server.log
在服务器测试图片上传：

bash

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curl -X POST http://localhost:5000/upload -F "[email protected]"

bash

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ls -ld images

arduino代码适配AI Thinker ESP32-CAM板子

cs 复制代码

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

const char* ssid = "Redmi K70";
const char* password = "ss20051512";
const char* serverIP = "159.75.100.98";
const int serverPort = 5000;

// 摄像头引脚配置（保持原样）
#define PWDN_GPIO_NUM     32
#define RESET_GPIO_NUM    -1
#define XCLK_GPIO_NUM      0
#define SIOD_GPIO_NUM     26
#define SIOC_GPIO_NUM     27
#define Y9_GPIO_NUM       35
#define Y8_GPIO_NUM       34
#define Y7_GPIO_NUM       39
#define Y6_GPIO_NUM       36
#define Y5_GPIO_NUM       21
#define Y4_GPIO_NUM       19
#define Y3_GPIO_NUM       18
#define Y2_GPIO_NUM        5
#define VSYNC_GPIO_NUM    25
#define HREF_GPIO_NUM     23
#define PCLK_GPIO_NUM     22

void setup() {
  Serial.begin(115200);
  
  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;
  esp_err_t err = esp_camera_init(&config);
  if (err != ESP_OK) {
    Serial.printf("Camera init failed: 0x%x", err);
    return;
  }

  WiFi.begin(ssid, password);
  WiFi.begin(ssid, password);
  while (WiFi.status() != WL_CONNECTED) {
    delay(500);
    Serial.print(".");
  }
  Serial.println("\nWiFi Connected");
}

void loop() {
  if (WiFi.status() == WL_CONNECTED) {
    camera_fb_t *fb = esp_camera_fb_get();
    if(!fb || fb->len == 0) {
      Serial.println("Capture Failed");
      return;
    }

    HTTPClient http;
    String url = "http://" + String(serverIP) + ":" + String(serverPort) + "/upload";
    http.begin(url);
    
    // 直接发送JPEG二进制数据
    http.addHeader("Content-Type", "image/jpeg");
    http.addHeader("Content-Length", String(fb->len));
    
    int httpCode = http.POST(fb->buf, fb->len);
    
    if(httpCode == HTTP_CODE_OK) {
      Serial.printf("Image Sent. Size: %dB\n", fb->len);
    } else {
      Serial.printf("Error Code: %d\n", httpCode);
    }
    
    http.end();
    esp_camera_fb_return(fb);
  }
  delay(3000); // 适当缩短延时
}

服务器代码：

python 复制代码

from flask import Flask, request, render_template_string, send_from_directory
import os
import time

app = Flask(__name__)
UPLOAD_FOLDER = './images'
os.makedirs(UPLOAD_FOLDER, exist_ok=True)

# 强制设置权限
os.chmod(UPLOAD_FOLDER, 0o777)

HTML_TEMPLATE = """
<!DOCTYPE html>
<html>
<head>
    <title>实时监控</title>
    <meta http-equiv="refresh" content="3">
    <style>
        img { max-width: 100%; height: auto; border: 2px solid #333; }
    </style>
</head>
<body>
    <h1>ESP32-CAM 实时画面</h1>
    <img src="/latest.jpg?t={timestamp}">
</body>
</html>
"""

@app.route('/')
def index():
    return render_template_string(HTML_TEMPLATE.replace("{timestamp}", str(time.time())))

@app.route('/upload', methods=['POST'])
def upload():
    try:
        # 直接读取二进制数据
        raw_data = request.get_data()
        if len(raw_data) < 100:  # 简单验证数据有效性
            return "Invalid image data", 400
            
        timestamp = str(int(time.time()))
        filename = f"{timestamp}.jpg"
        filepath = os.path.join(UPLOAD_FOLDER, filename)
        
        with open(filepath, 'wb') as f:
            f.write(raw_data)
        
        # 更新符号链接
        latest_path = os.path.join(UPLOAD_FOLDER, 'latest.jpg')
        if os.path.lexists(latest_path):
            os.remove(latest_path)
        os.symlink(filename, latest_path)
        
        return f"Received {len(raw_data)} bytes", 200
        
    except Exception as e:
        return f"Server Error: {str(e)}", 500

@app.route('/latest.jpg')
def serve_latest():
    try:
        return send_from_directory(UPLOAD_FOLDER, 'latest.jpg', mimetype='image/jpeg')
    except:
        return "Image not available", 404

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=5000, debug=False)

esp32cam -＞ 服务器 | 手机 -＞ 服务器 直接服务器传输图片

一、Python环境搭建（CentOS/Ubuntu通用）

创建目录并设置权限

安装依赖

运行服务（后台运行）

使用步骤：

esp32cam -＞服务器 | 手机 -＞服务器直接服务器传输图片