ESP 32 AI-THINKER: example showing error on the Serial Monitor

I am using a ESP32 CAM for an object detection program, the code loads up normally, when i check the Serial Monitor, the program says:
"rst:0x1 (POWERON_RESET),boot:0x13 (SPI_FAST_FLASH_BOOT)
configsip: 0, SPIWP:0xee
clk_drv:0x00,q_drv:0x00,d_drv:0x00,cs0_drv:0x00,hd_drv:0x00,wp_drv:0x00
mode:DIO, clock div:1
load:0x3fff0030,len:1344
load:0x40078000,len:13964
load:0x40080400,len:3600
entry 0x400805f0
Edge Impulse Inferencing Demo
E (499) camera: Camera probe failed with error 0x105(ESP_ERR_NOT_FOUND)
Camera init failed with error 0x105
Failed to initialize Camera!

Starting continious inference in 2 seconds…
ERR: Camera is not initialized

Failed to capture image

"
What that error indicates?
How can i solve this problem?
Could it be an error in the camera installation?

project:
/* Edge Impulse Arduino examples

  • Copyright (c) 2022 EdgeImpulse Inc.
  • Permission is hereby granted, free of charge, to any person obtaining a copy
  • of this software and associated documentation files (the “Software”), to deal
  • in the Software without restriction, including without limitation the rights
  • to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  • copies of the Software, and to permit persons to whom the Software is
  • furnished to do so, subject to the following conditions:
  • The above copyright notice and this permission notice shall be included in
  • all copies or substantial portions of the Software.
  • THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  • IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  • FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  • AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  • LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  • OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  • SOFTWARE.
    */

// These sketches are tested with 2.0.4 ESP32 Arduino Core
// Release ESP32 Arduino 2.0.4 based on ESP-IDF 4.4.1 · espressif/arduino-esp32 · GitHub

/* Includes ---------------------------------------------------------------- */
#include <OBR_-_REA_DE_RESGATE_inferencing.h>
#include “edge-impulse-sdk/dsp/image/image.hpp”

#include “esp_camera.h”

// Select camera model - find more camera models in camera_pins.h file here
// arduino-esp32/libraries/ESP32/examples/Camera/CameraWebServer/camera_pins.h at master · espressif/arduino-esp32 · GitHub

//#define CAMERA_MODEL_ESP_EYE // Has PSRAM
#define CAMERA_MODEL_AI_THINKER // Has PSRAM

#if defined(CAMERA_MODEL_ESP_EYE)
#define PWDN_GPIO_NUM -1
#define RESET_GPIO_NUM -1
#define XCLK_GPIO_NUM 4
#define SIOD_GPIO_NUM 18
#define SIOC_GPIO_NUM 23

#define Y9_GPIO_NUM 36
#define Y8_GPIO_NUM 37
#define Y7_GPIO_NUM 38
#define Y6_GPIO_NUM 39
#define Y5_GPIO_NUM 35
#define Y4_GPIO_NUM 14
#define Y3_GPIO_NUM 13
#define Y2_GPIO_NUM 34
#define VSYNC_GPIO_NUM 5
#define HREF_GPIO_NUM 27
#define PCLK_GPIO_NUM 25

#elif defined(CAMERA_MODEL_AI_THINKER)
#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

#else
#error “Camera model not selected”
#endif

/* Constant defines -------------------------------------------------------- */
#define EI_CAMERA_RAW_FRAME_BUFFER_COLS 320
#define EI_CAMERA_RAW_FRAME_BUFFER_ROWS 240
#define EI_CAMERA_FRAME_BYTE_SIZE 3

/* Private variables ------------------------------------------------------- */
static bool debug_nn = false; // Set this to true to see e.g. features generated from the raw signal
static bool is_initialised = false;
uint8_t *snapshot_buf; //points to the output of the capture

static camera_config_t camera_config = {
.pin_pwdn = PWDN_GPIO_NUM,
.pin_reset = RESET_GPIO_NUM,
.pin_xclk = XCLK_GPIO_NUM,
.pin_sscb_sda = SIOD_GPIO_NUM,
.pin_sscb_scl = SIOC_GPIO_NUM,

.pin_d7 = Y9_GPIO_NUM,
.pin_d6 = Y8_GPIO_NUM,
.pin_d5 = Y7_GPIO_NUM,
.pin_d4 = Y6_GPIO_NUM,
.pin_d3 = Y5_GPIO_NUM,
.pin_d2 = Y4_GPIO_NUM,
.pin_d1 = Y3_GPIO_NUM,
.pin_d0 = Y2_GPIO_NUM,
.pin_vsync = VSYNC_GPIO_NUM,
.pin_href = HREF_GPIO_NUM,
.pin_pclk = PCLK_GPIO_NUM,

//XCLK 20MHz or 10MHz for OV2640 double FPS (Experimental)
.xclk_freq_hz = 20000000,
.ledc_timer = LEDC_TIMER_0,
.ledc_channel = LEDC_CHANNEL_0,

.pixel_format = PIXFORMAT_JPEG, //YUV422,GRAYSCALE,RGB565,JPEG
.frame_size = FRAMESIZE_QVGA,    //QQVGA-UXGA Do not use sizes above QVGA when not JPEG

.jpeg_quality = 12, //0-63 lower number means higher quality
.fb_count = 1,       //if more than one, i2s runs in continuous mode. Use only with JPEG
.fb_location = CAMERA_FB_IN_PSRAM,
.grab_mode = CAMERA_GRAB_WHEN_EMPTY,

};

/* Function definitions ------------------------------------------------------- */
bool ei_camera_init(void);
void ei_camera_deinit(void);
bool ei_camera_capture(uint32_t img_width, uint32_t img_height, uint8_t *out_buf) ;

/**

  • @brief Arduino setup function
    */
    void setup()
    {
    // put your setup code here, to run once:
    Serial.begin(115200);
    //comment out the below line to start inference immediately after upload
    while (!Serial);
    Serial.println(“Edge Impulse Inferencing Demo”);
    if (ei_camera_init() == false) {
    ei_printf(“Failed to initialize Camera!\r\n”);
    }
    else {
    ei_printf(“Camera initialized\r\n”);
    }

    ei_printf(“\nStarting continious inference in 2 seconds…\n”);
    ei_sleep(2000);
    }

/**

  • @brief Get data and run inferencing

  • @param[in] debug Get debug info if true
    */
    void loop()
    {

    // instead of wait_ms, we’ll wait on the signal, this allows threads to cancel us…
    if (ei_sleep(5) != EI_IMPULSE_OK) {
    return;
    }

    snapshot_buf = (uint8_t*)malloc(EI_CAMERA_RAW_FRAME_BUFFER_COLS * EI_CAMERA_RAW_FRAME_BUFFER_ROWS * EI_CAMERA_FRAME_BYTE_SIZE);

    // check if allocation was successful
    if(snapshot_buf == nullptr) {
    ei_printf(“ERR: Failed to allocate snapshot buffer!\n”);
    return;
    }

    ei::signal_t signal;
    signal.total_length = EI_CLASSIFIER_INPUT_WIDTH * EI_CLASSIFIER_INPUT_HEIGHT;
    signal.get_data = &ei_camera_get_data;

    if (ei_camera_capture((size_t)EI_CLASSIFIER_INPUT_WIDTH, (size_t)EI_CLASSIFIER_INPUT_HEIGHT, snapshot_buf) == false) {
    ei_printf(“Failed to capture image\r\n”);
    free(snapshot_buf);
    return;
    }

    // Run the classifier
    ei_impulse_result_t result = { 0 };

    EI_IMPULSE_ERROR err = run_classifier(&signal, &result, debug_nn);
    if (err != EI_IMPULSE_OK) {
    ei_printf(“ERR: Failed to run classifier (%d)\n”, err);
    return;
    }

    // print the predictions
    ei_printf(“Predictions (DSP: %d ms., Classification: %d ms., Anomaly: %d ms.): \n”,
    result.timing.dsp, result.timing.classification, result.timing.anomaly);

#if EI_CLASSIFIER_OBJECT_DETECTION == 1
bool bb_found = result.bounding_boxes[0].value > 0;
for (size_t ix = 0; ix < result.bounding_boxes_count; ix++) {
auto bb = result.bounding_boxes[ix];
if (bb.value == 0) {
continue;
}
ei_printf(" %s (%f) [ x: %u, y: %u, width: %u, height: %u ]\n", bb.label, bb.value, bb.x, bb.y, bb.width, bb.height);
}
if (!bb_found) {
ei_printf(" No objects found\n");
}
#else
for (size_t ix = 0; ix < EI_CLASSIFIER_LABEL_COUNT; ix++) {
ei_printf(" %s: %.5f\n", result.classification[ix].label,
result.classification[ix].value);
}
#endif

#if EI_CLASSIFIER_HAS_ANOMALY == 1
ei_printf(" anomaly score: %.3f\n", result.anomaly);
#endif

free(snapshot_buf);

}

/**

  • @brief Setup image sensor & start streaming

  • @retval false if initialisation failed
    */
    bool ei_camera_init(void) {

    if (is_initialised) return true;

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

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

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, 0); // lower the saturation
}

#if defined(CAMERA_MODEL_M5STACK_WIDE)
s->set_vflip(s, 1);
s->set_hmirror(s, 1);
#elif defined(CAMERA_MODEL_ESP_EYE)
s->set_vflip(s, 1);
s->set_hmirror(s, 1);
s->set_awb_gain(s, 1);
#endif

is_initialised = true;
return true;

}

/**

  • @brief Stop streaming of sensor data
    */
    void ei_camera_deinit(void) {

    //deinitialize the camera
    esp_err_t err = esp_camera_deinit();

    if (err != ESP_OK)
    {
    ei_printf(“Camera deinit failed\n”);
    return;
    }

    is_initialised = false;
    return;
    }

/**

  • @brief Capture, rescale and crop image
  • @param[in] img_width width of output image
  • @param[in] img_height height of output image
  • @param[in] out_buf pointer to store output image, NULL may be used
  •                       if ei_camera_frame_buffer is to be used for capture and resize/cropping.
    
  • @retval false if not initialised, image captured, rescaled or cropped failed

*/
bool ei_camera_capture(uint32_t img_width, uint32_t img_height, uint8_t *out_buf) {
bool do_resize = false;

if (!is_initialised) {
    ei_printf("ERR: Camera is not initialized\r\n");
    return false;
}

camera_fb_t *fb = esp_camera_fb_get();

if (!fb) {
    ei_printf("Camera capture failed\n");
    return false;
}

bool converted = fmt2rgb888(fb->buf, fb->len, PIXFORMAT_JPEG, snapshot_buf);

esp_camera_fb_return(fb);

if(!converted){
ei_printf(“Conversion failed\n”);
return false;
}

if ((img_width != EI_CAMERA_RAW_FRAME_BUFFER_COLS)
    || (img_height != EI_CAMERA_RAW_FRAME_BUFFER_ROWS)) {
    do_resize = true;
}

if (do_resize) {
    ei::image::processing::crop_and_interpolate_rgb888(
    out_buf,
    EI_CAMERA_RAW_FRAME_BUFFER_COLS,
    EI_CAMERA_RAW_FRAME_BUFFER_ROWS,
    out_buf,
    img_width,
    img_height);
}


return true;

}

static int ei_camera_get_data(size_t offset, size_t length, float *out_ptr)
{
// we already have a RGB888 buffer, so recalculate offset into pixel index
size_t pixel_ix = offset * 3;
size_t pixels_left = length;
size_t out_ptr_ix = 0;

while (pixels_left != 0) {
    // Swap BGR to RGB here
    // due to https://github.com/espressif/esp32-camera/issues/379
    out_ptr[out_ptr_ix] = (snapshot_buf[pixel_ix + 2] << 16) + (snapshot_buf[pixel_ix + 1] << 8) + snapshot_buf[pixel_ix];

    // go to the next pixel
    out_ptr_ix++;
    pixel_ix+=3;
    pixels_left--;
}
// and done!
return 0;

}

#if !defined(EI_CLASSIFIER_SENSOR) || EI_CLASSIFIER_SENSOR != EI_CLASSIFIER_SENSOR_CAMERA
#error “Invalid model for current sensor”
#endif

I am using Arduino IDE to code the example program to the esp 32, and I am using an arduino to build a bridge to code the esp32, it worked.
The Program uses about of 27% of the memory.
My AI uses RGB to detect the objects (i need to identify colors as well).
I have changed the type of camara in the Program to AI-THINKER.