下载开发工具:Software | Arduino
下载usb转com驱动程序:
驱动程序 - 南京沁恒微电子股份有限公司
下载Raspberry Pi image工具:Raspberry Pi OS – Raspberry Pi
购买ESP32 CAM和烧录底坐:https://m.tb.cn/h.5KxUeY5dNjn9Z6Z?tk=irVsW7tTRxp CZ3457
注意:要确认下是不是AI Thinker Esp32的板子(其它主板也可以,但本人没有测试过)
准备好一条microusb的数据线和5V/2A的电源
准备工作就绪
第一部份:通过Arduino和Camerawebserver设置ESP32 Cam
- 安装开发程序Arduino,我用的是最新版2.2.1
- 安装完成配置首选项,填加ESP32的开发管理器,打开文件---首选项
将以下两个网址加上,一行一个,确定退出
https://dl.espressif.com/dl/package_esp32_index.json
https://espressif.github.io/arduino-esp32/package_esp32_index.json
在 Arduino IDE 中,找到 工具>开发板>开发板开发板管理,搜索 ESP32 或者直接选择 ESP32WroverModule
- 选择开发板,Ai Thinker ESP32-CAM,并将底坐和主板,microusb连接到电脑,注意Com口,如果没有显示COM口,可能是你没有安装驱动程序,可打开工具---串口监视器来看是否连接上
- 选择 文件>示例>ESP32>Camera>CameraWebServer ,进入示例代码界面。
- 修改程序代码,修改红色字体部份
#include "esp_camera.h"
#include <WiFi.h>
//
// WARNING!!! PSRAM IC required for UXGA resolution and high JPEG quality
// Ensure ESP32 Wrover Module or other board with PSRAM is selected
// Partial images will be transmitted if image exceeds buffer size
//
// You must select partition scheme from the board menu that has at least 3MB APP space.
// Face Recognition is DISABLED for ESP32 and ESP32-S2, because it takes up from 15
// seconds to process single frame. Face Detection is ENABLED if PSRAM is enabled as well
// ===================
// Select camera model
// ===================
//#define CAMERA_MODEL_WROVER_KIT // Has PSRAM
//#define CAMERA_MODEL_ESP_EYE // Has PSRAM
//#define CAMERA_MODEL_ESP32S3_EYE // Has PSRAM
//#define CAMERA_MODEL_M5STACK_PSRAM // Has PSRAM
//#define CAMERA_MODEL_M5STACK_V2_PSRAM // M5Camera version B Has PSRAM
//#define CAMERA_MODEL_M5STACK_WIDE // Has PSRAM
//#define CAMERA_MODEL_M5STACK_ESP32CAM // No PSRAM
//#define CAMERA_MODEL_M5STACK_UNITCAM // No PSRAM
#define CAMERA_MODEL_AI_THINKER // Has PSRAM
//#define CAMERA_MODEL_TTGO_T_JOURNAL // No PSRAM
//#define CAMERA_MODEL_XIAO_ESP32S3 // Has PSRAM
// ** Espressif Internal Boards **
//#define CAMERA_MODEL_ESP32_CAM_BOARD
//#define CAMERA_MODEL_ESP32S2_CAM_BOARD
//#define CAMERA_MODEL_ESP32S3_CAM_LCD
//#define CAMERA_MODEL_DFRobot_FireBeetle2_ESP32S3 // Has PSRAM
//#define CAMERA_MODEL_DFRobot_Romeo_ESP32S3 // Has PSRAM
#include "camera_pins.h"
// ===========================
// Enter your WiFi credentials
// ===========================
//修改成自己的wifi ssid和密码,注意这里的wifi,要启用2.4G,有些主板不支持5G信道
const char* ssid = "Guest";
const char* password = "2021###";
void startCameraServer();
void setupLedFlash(int pin);
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
//修改此处摄像头型号,可选用OV5640和OV2640
if (s->id.PID == OV2640_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
// Setup LED FLash if LED pin is defined in camera_pins.h
#if defined(LED_GPIO_NUM)
setupLedFlash(LED_GPIO_NUM);
#endif
WiFi.begin(ssid, password);
WiFi.setSleep(false);
while (WiFi.status() != WL_CONNECTED) {
delay(500);
Serial.print(".");
}
Serial.println("");
Serial.println("WiFi connected");
startCameraServer();
Serial.print("Camera Ready! Use 'http://");
Serial.print(WiFi.localIP());
Serial.println("' to connect");
}
void loop() {
// Do nothing. Everything is done in another task by the web server
delay(10000);
}
- 修改完成后,点Arduino的编译,上传,将程序烧录到ESP32-CAM,出现红色标注内容说明烧录成功
- 打开串口连接器,进行查看,此时可以看到Wifi已经连接,并有IP地址
- 将你的电脑wifi与ESP32 CAM的网络设置到同一SSID或VLAN,确保网络能通讯,打开浏览器,输入上面的联接,你就可以连接到摄像头。记住以下三个地址
http://ip
http://ip:81/stream:查看视频流
http://ip/capture:查看静态页面
- 点Get Still和Start Stream,这时你就可以看到有摄像头和视频流,如果要启用人脸识别,需要按红色框设置
- 到此,可以通过Web来设置摄像头,另外在设置过程中,可能会有图像不清楚,翻转等问题,可通过设置参数,更换电源尝试,如果摄像头翻转,调整V-Flip参数