Arducam Esp8266 Uno V2 Not Working Upload Mem Failed

This article is a quick getting started guide for the ESP32-CAM board. We'll testify you lot how to setup a video streaming web server with face recognition and detection in less than v minutes with Arduino IDE.

Note: in this tutorial nosotros use the instance from the arduino-esp32 library. This tutorial doesn't cover how to modify the example.

Related project: ESP32-CAM Video Streaming Web Server (works with Home Banana and Node-Ruby)

Watch the Video Tutorial

You can watch the video tutorial or keep reading this folio for the written instructions.

Parts Required

To follow this tutorial you need the following components:

ESP32-CAM with OV2640 – read All-time ESP32-CAM Dev Boards
FTDI developer
Female-to-female jumper wires

You can employ the preceding links or get directly to MakerAdvisor.com/tools to discover all the parts for your projects at the best price!

Introducing the ESP32-CAM

The ESP32-CAM is a very small camera module with the ESP32-S flake that costs approximately $10. Besides the OV2640 camera, and several GPIOs to connect peripherals, information technology likewise features a microSD menu slot that can exist useful to store images taken with the camera or to store files to serve to clients.

The ESP32-CAM doesn't come with a USB connector, so yous demand an FTDI programmer to upload lawmaking through the U0R and U0T pins (series pins).

Features

Here is a list with the ESP32-CAM features:

The smallest 802.11b/1000/n Wi-Fi BT SoC module
Depression power 32-bit CPU,tin too serve the application processor
Up to 160MHz clock speed, summary computing ability up to 600 DMIPS
Built-in 520 KB SRAM, external 4MPSRAM
Supports UART/SPI/I2C/PWM/ADC/DAC
Support OV2640 and OV7670 cameras, built-in flash lamp
Support image WiFI upload
Support TF card
Supports multiple sleep modes
Embedded Lwip and FreeRTOS
Supports STA/AP/STA+AP operation mode
Support Smart Config/AirKiss technology
Support for serial port local and remote firmware upgrades (FOTA)

ESP32-CAM Pinout

The following figure shows the ESP32-CAM pinout (AI-Thinker module).

There are 3 GND pins and two pins for ability: either 3.3V or 5V.

GPIO i and GPIO three are the series pins. You demand these pins to upload code to your lath. Additionally, GPIO 0 besides plays an important role, since information technology determines whether the ESP32 is in flashing style or not. When GPIO 0 is continued to GND, the ESP32 is in flashing fashion.

The following pins are internally connected to the microSD card reader:

GPIO 14: CLK
GPIO xv: CMD
GPIO two: Data 0
GPIO iv: Information 1 (besides connected to the on-lath LED)
GPIO 12: Information 2
GPIO 13: Data 3

Video Streaming Server

Follow the next steps to build a video streaming web server with the ESP32-CAM that you tin access on your local network.

Important: Make sure yous accept your Arduino IDE updated besides as the latest version of the ESP32 add-on.

i. Install the ESP32 improver

In this example, we utilize Arduino IDE to plan the ESP32-CAM lath. So, you need to accept Arduino IDE installed as well every bit the ESP32 add-on. Follow ane of the side by side tutorials to install the ESP32 addition, if y'all haven't already:

Installing the ESP32 Board in Arduino IDE (Windows instructions)
Installing the ESP32 Board in Arduino IDE (Mac and Linux instructions)

2. CameraWebServer Case Code

In your Arduino IDE, go to File > Examples > ESP32 > Photographic camera and open up the CameraWebServer example.

The post-obit lawmaking should load.

Earlier uploading the code, you lot demand to insert your network credentials in the following variables:

          const char* ssid = "REPLACE_WITH_YOUR_SSID"; const char* countersign = "REPLACE_WITH_YOUR_PASSWORD";

Then, make sure you select the correct camera module. In this case, nosotros're using the AI-THINKER Model.

And then, comment all the other models and uncomment this one:

          // Select photographic camera model //#define CAMERA_MODEL_WROVER_KIT //#define CAMERA_MODEL_ESP_EYE //#ascertain CAMERA_MODEL_M5STACK_PSRAM //#define CAMERA_MODEL_M5STACK_WIDE #define CAMERA_MODEL_AI_THINKER

If none of these correspond to the camera y'all're using, you need to add together the pin assignment for your specific board in the camera_pins.h tab.

Now, the code is prepare to be uploaded to your ESP32.

3. ESP32-CAM Upload Lawmaking

Connect the ESP32-CAM board to your computer using an FTDI programmer. Follow the next schematic diagram:

Many FTDI programmers have a jumper that allows you to select 3.3V or 5V. Make certain the jumper is in the right place to select 5V.

Important: GPIO 0 needs to exist connected to GND so that yous're able to upload lawmaking.

ESP32-CAM	FTDI Programmer
GND	GND
5V	VCC (5V)
U0R	TX
U0T	RX
GPIO 0	GND

To upload the code, follow the adjacent steps:

i) Go to Tools > Lath and select AI-Thinker ESP32-CAM.

2) Go to Tools > Port and select the COM port the ESP32 is connected to.

3) And then, click the upload button to upload the lawmaking.

four) When you start to come across these dots on the debugging window as shown below, press the ESP32-CAM on-board RST button.

Later a few seconds, the code should exist successfully uploaded to your board.

Getting the IP accost

Afterward uploading the code, disconnect GPIO 0 from GND.

Open the Series Monitor at a baud rate of 115200. Press the ESP32-CAM on-board Reset push.

The ESP32 IP address should be printed in the Serial Monitor.

Accessing the Video Streaming Server

At present, you can access your camera streaming server on your local network. Open up a browser and blazon the ESP32-CAM IP address. Press the Outset Streaming push button to start video streaming.

You lot also take the choice to take photos by clicking the Get Notwithstanding push. Unfortunately, this instance doesn't save the photos, but you can modify it to use the on lath microSD Card to shop the captured photos.

At that place are also several photographic camera settings that yous can play with to adjust the image settings.

Finally, you can do confront recognition and detection.

First, y'all need to enroll a new face. It will make several attempts to save the face up. After enrolling a new user, information technology should detect the confront later on (field of study 0).

And that's information technology. At present you accept your video streaming web server up and running with face detection and recognition with the case from the library.

Troubleshooting

If you lot're getting whatsoever of the post-obit errors, read ourESP32-CAM Troubleshooting Guide: Well-nigh Common Problems Fixed

Failed to connect to ESP32: Timed out waiting for bundle header
Camera init failed with error 0x20001 or like
Brownout detector or Guru meditation error
Sketch likewise large fault – Wrong sectionalisation scheme selected
Lath at COMX is non available – COM Port Non Selected
Psram error: GPIO isr service is non installed
Weak Wi-Fi Bespeak
No IP Address in Arduino IDE Serial Monitor
Can't open web server
The image lags/shows lots of latency

Wrapping Up

The ESP32-CAM provides an inexpensive way to build more advanced home automation projects that feature video, taking photos, and face recognition.

In this tutorial nosotros've tested the CameraWebServer example to test the camera functionalities. At present, the idea is to change the instance or write a completely new code to build other projects. For example, accept photos and save them to the microSD card when move is detected, integrate video streaming in your home automation platform (like Node-RED or Dwelling house Assistant), and much more.

Nosotros hope you've find this tutorial useful. If you don't accept an ESP32-CAM even so, yous can grab information technology hither.

If you like this project, you may too like other projects with the ESP32-CAM:

ESP32-CAM Video Streaming Web Server (works with Domicile Assistant and Node-RED)
ESP32-CAM Take Photo and Save to MicroSD Carte
ESP32-CAM PIR Motion Detector with Photo Capture (saves to microSD card)
ESP32-CAM Accept Photo and Brandish in Web Server
Build ESP32-CAM Projects (eBook)
Read all our ESP32-CAM Projects, Tutorials and Guides

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Source: https://randomnerdtutorials.com/esp32-cam-video-streaming-face-recognition-arduino-ide/