From ESP32-CAM rookie to PRO

All the ESP32-CAM features exposed in in less than 10 lines of code.. Pictures, videos, Telegram notifications, motion detection, artificial intelligence... You name it!

This book is for you if:

You are a beginner and...

  • you want to start learning from the basics. You are not comfortable with complex, convoluted code that makes you wonder which line is doing what
  • you like to learn by doing. You want to see the code in action and see how it works
  • you want features out-of-the-box (sd storage, cloud storage, Telegram notifications, motion detection...)

You are an expert and...

  • you want to kickstart your projects by abstracting repetitive code
  • you want to access advanced features like AI, multithreading, MQTT...

What's inside?

Quickstart

Configure the image sensor and take your first picture

Live streaming

View the camera feed in real-time from any web browser

Example: How to take picture 

/**
 * Get started with the EloquentEsp32Cam library.
 * Configure camera and grab frames.
 * Turn on INFO logging in the Tools menu to see
 * debug messages.
 */
#include <eloquent_esp32cam3.h>

eloquent::camera::Camera camera;


void setup() {
    Serial.begin(115200);
    Serial.println("Take picture");

    // configure hardware parts
    camera.hardware.brownout.disable();
    camera.hardware.clock.fast();
    camera.hardware.pinout.ask();

    // configure frame
    camera.frame.pixformat.jpeg();
    camera.frame.resolution.vga();
    camera.frame.quality.high();

    // you can still access the camera_config_t instance directly
    camera.config.fb_count = 2;
    camera.config.grab_mode = CAMERA_GRAB_LATEST;

    // initialize camera
    camera.begin();

    // raise() will throw a std::runtime_error
    // only if something went wrong
    // useful for debugging
    // in production you should handle the exception
    // (see image.failed() later)
    camera.raise();

    Serial.println("Init OK");
}


void loop() {
    // grab a new frame
    auto image = camera.grab();

    // frame grabbing may fail sometimes
    // since it is a recoverable error,
    // handle it instead of raising
    if (image.failed()) {
        Serial.println(image.error);
        delay(1000);
        return;
    }

    ESP_LOGI("App", "Frame size: %d bytes", image.size());
    delay(1000);
}

Example: Motion detection 

/**
 * Motion detection example, simple case.
 * Includes events throttling.
 *
 * All configurations in the setup() method
 * for the motion detection are optional.
 * Feel free to delete the ones you don't need.
 *
 * Requires the JPEGDEC library
 * (https://github.com/bitbank2/JPEGDEC)
 */
#include <JPEGDEC.h>
#include <eloquent_esp32cam3.h>
#include <eloquent_esp32cam3/modules/motion.h>

using eloquent::camera::Camera;
using eloquent::camera::helpers::Throttle;
using eloquent::camera::motion::Motion;
using eloquent::camera::motion::dtypes::Result;


Camera camera;
Motion motion;
Throttle throttle("3 seconds");


void setup() {
    Serial.begin(115200);
    delay(3000);
    Serial.println("Motion detection: simple case");

    // see "GetStarted.ino" for more comments
    camera.hardware.brownout.disable();
    camera.hardware.clock.fast();
    camera.hardware.pinout.ask();
    camera.frame.pixformat.jpeg();
    camera.frame.resolution.vga();
    camera.frame.quality.high();

    // run motion detection on a 1/16th version
    // of the frame to make it faster and
    // use less resources
    // must be a power of 2 or a multiple of 8
    motion.config.stride(16);

    // how much should two pixels differ
    // to be included into the motion count?
    motion.config.differBy(20);

    // how much to smooth pixels when updating
    // previous state.
    // 0 means no smooth at all (use latest frame as is)
    // 1 means no update al all (use first frame only)
    // 0.5 is the mean between current and prev
    motion.config.smoothBy(0.2);

    // while training, the background model is updated
    // but no motion detection is performed.
    // also, skip the first few frames while the camera stabilizes
    motion.config.trainFor(10);

    // decide which pixels to consider
    motion.config.consider([](size_t x, size_t y, uint8_t pixel) {
        // only consider pixels whose x is > 80 and y < 320
        return x <= 160 && y <= 320;
    });

    // you can register a function to call when
    // moving ratio is above a certain value
    motion.callbacks.onMotion(0.3, [](Result &result) {
        // ignore throttle, always print
        Serial.printf(
                "[callback] %.0f%% of the image changed (%d/%d)\n",
                result.ratio * 100,
                result.moving,
                result.total
        );
    });

    // init camera and discard first 2 frames
    camera.begin();
    camera.raise();
    camera.discard(2);

    // motion doesn't require init
}


void loop() {
    auto image = camera.grab();

    if (image.failed()) {
        Serial.print("Camera error: ");
        Serial.println(image.error);
        return;
    }

    motion.update(image);

    if (motion.failed()) {
        Serial.print("Motion error: ");
        Serial.println(motion.error);
        return;
    }

    // check how much of the image changed
    // also, don't fire too many events (throttle)
    if (motion.result.ratio > 0.3 && throttle) {
        Serial.printf(
                "%.0f%% of the image changed (%d/%d)\n",
                motion.result.ratio * 100,
                motion.result.moving,
                motion.result.total
        );

        Serial.printf(
                "Center of mass at x=%d, y=%d\n",
                motion.result.centerOfMass.x,
                motion.result.centerOfMass.y
        );

        // start counting time from now
        // no event will trigger for the next 3 seconds
        throttle.touch();
    }

    delay(100);
}