基于FireBeetle 2 ESP32-S3和行空板的无线图传相机
本帖最后由 豆爸 于 2023-9-6 10:42 编辑【项目背景】
FireBeetle 2 ESP32-S3是一款基于ESP32-S3-WROOM-1-N16R8模组设计的主控板，拥有16MB Flash和8MB PSRAM，板载摄像头接口。
开发板附带了一个OV2640摄像头，该摄像头拥有200万像素和68°视场角，最高支持1600*1200分辨率。本项目使用FireBeetle 2 ESP32-S3与行空板来做一款相机，实现无线拍照。
【硬件介绍】
1.FireBeetle 2 ESP32-S3
功能
引脚
GPIO分配
2.行空板
【FireBeetle 2 ESP32-S3编程】
1.将DFRobot FireBeetle 2 ESP32-S3通过 USB线连接到电脑。打开Arduino IDE，选择开发板：DFRobot FireBeetle 2 ESP32-S3，选择端口，如下图所示。
2.下载AXP313A库
https://github.com/cdjq/DFRobot_AXP313A/archive/refs/heads/master.zip
3.新建程序
#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
#define CAMERA_MODEL_DFRobot_FireBeetle2_ESP32S3 // Has PSRAN
// ** Espressif Internal Boards **
//#define CAMERA_MODEL_ESP32_CAM_BOARD
//#define CAMERA_MODEL_ESP32S2_CAM_BOARD
//#define CAMERA_MODEL_ESP32S3_CAM_LCD
#include "camera_pins.h"
#include "DFRobot_AXP313A.h"
DFRobot_AXP313A axp;
// ===========================
// Enter your WiFi credentials
// ===========================
const char* ssid = "xiaogui";
const char* password = "88888888";
void startCameraServer();
void setupLedFlash(int pin);
void setup() {
Serial.begin(115200);
Serial.setDebugOutput(true);
Serial.println();
while(axp.begin() != 0){
Serial.println("init error");
delay(1000);
}
axp.enableCameraPower(axp.eOV2640);//设置摄像头供电
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
// Setup LED FLash if LED pin is defined in camera_pins.h
#if defined(LED_GPIO_NUM)
setupLedFlash(LED_GPIO_NUM);
#endif
Serial.println("Connect to WiFi");
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);
}
4.修改上述程序中wifi的ssid、password，为您所在网络wifi的ssid与密码
const char* ssid = "xiaogui";
const char* password = "88888888";
5.修改camera_pins.h文件，增加如下代码：
#elif defined(CAMERA_MODEL_DFRobot_FireBeetle2_ESP32S3)
#define PWDN_GPIO_NUM -1
#define RESET_GPIO_NUM -1
#define XCLK_GPIO_NUM 45
#define SIOD_GPIO_NUM 1
#define SIOC_GPIO_NUM 2
#define Y9_GPIO_NUM 48
#define Y8_GPIO_NUM 46
#define Y7_GPIO_NUM 8
#define Y6_GPIO_NUM 7
#define Y5_GPIO_NUM 4
#define Y4_GPIO_NUM 41
#define Y3_GPIO_NUM 40
#define Y2_GPIO_NUM 39
#define VSYNC_GPIO_NUM 6
#define HREF_GPIO_NUM 42
#define PCLK_GPIO_NUM 5
6.修改相应设置，如下图所示
7.上传程序，等待上传完成。
8.打开串口监视器，查看启动信息
从串口监视器可看到：“Connect to WiFi”、“WiFi connected”、“Camera Ready! Use 'http://192.168.2.234' to connect”等信息，记住这个IP地址。通过这个IP地址就可以访问摄像头了。
9.OV2640设置
在浏览器中，输入刚才记住的IP地址，如192.168.2.234，即可打开设置页面。修改相应的选项，可以对摄像头进行设置。
将网页垂直滑块向下拉，一直到网页的最底端。点击“start Stream”，即可打开视频浏览串口，位于页面最顶端。
【行空板编程】
1.将行空板通过 USB线连接到电脑。打开Mind+，选择Python模式，如下图所示。
2.添加“行空板”库，如下图所示。
3.拖到积木，完成编程，如下图所示。并修改192.168.2.234为刚才记住的IP地址。
4.点击“连接远程终端”，选择“10.1.2.3”，如下图所示。
5.点击“运行”，如下图所示。
行空板的屏幕上显示DFRobot FireBeetle 2 ESP32-S3摄像头画面。按下A键，完成拍照，并保存。如下图所示
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