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This article is a quick getting started guide for the ESP32-CAM board. We'll show yous how to setup a video streaming spider web server with face recognition and detection in less than 5 minutes with Arduino IDE.

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

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

Watch the Video Tutorial

You can watch the video tutorial or go along reading this page for the written instructions.

Parts Required

To follow this tutorial you need the following components:

ESP32-CAM with OV2640 – read Best ESP32-CAM Dev Boards
FTDI programmer
Female person-to-female person jumper wires

You tin use the preceding links or go directly to MakerAdvisor.com/tools to detect all the parts for your projects at the best toll!

Introducing the ESP32-CAM

The ESP32-CAM is a very pocket-size photographic camera module with the ESP32-Due south chip that costs approximately $10. Also the OV2640 camera, and several GPIOs to connect peripherals, it also features a microSD card slot that tin can exist useful to store images taken with the camera or to store files to serve to clients.

The ESP32-CAM doesn't come up with a USB connector, and so you need an FTDI programmer to upload code through the U0R and U0T pins (serial pins).

Features

Here is a listing with the ESP32-CAM features:

The smallest 802.11b/g/n Wi-Fi BT SoC module
Low power 32-bit CPU,can also serve the awarding processor
Upwards 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, congenital-in flash lamp
Support image WiFI upload
Support TF card
Supports multiple sleep modes
Embedded Lwip and FreeRTOS
Supports STA/AP/STA+AP operation style
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).

In that location are 3 GND pins and 2 pins for ability: either three.3V or 5V.

GPIO i and GPIO three are the series pins. You need these pins to upload lawmaking to your board. Additionally, GPIO 0 likewise plays an important role, since information technology determines whether the ESP32 is in flashing style or not. When GPIO 0 is connected to GND, the ESP32 is in flashing mode.

The following pins are internally connected to the microSD carte du jour reader:

GPIO 14: CLK
GPIO fifteen: CMD
GPIO 2: Data 0
GPIO 4: Data ane (also connected to the on-board LED)
GPIO 12: Information ii
GPIO thirteen: Data 3

Video Streaming Server

Follow the side by side steps to build a video streaming web server with the ESP32-CAM that y'all can access on your local network.

Important: Brand sure you have your Arduino IDE updated also as the latest version of the ESP32 addition.

i. Install the ESP32 add-on

In this example, nosotros use Arduino IDE to program the ESP32-CAM board. So, you need to have Arduino IDE installed as well as the ESP32 add-on. Follow ane of the next tutorials to install the ESP32 improver, if you 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 Example Code

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

The post-obit lawmaking should load.

Before uploading the code, you need to insert your network credentials in the following variables:

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

Then, make certain y'all select the right camera module. In this case, we're using the AI-THINKER Model.

Then, comment all the other models and uncomment this one:

          // Select camera model //#define CAMERA_MODEL_WROVER_KIT //#ascertain CAMERA_MODEL_ESP_EYE //#define 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 the pin assignment for your specific lath in the camera_pins.h tab.

At present, the lawmaking is set to be uploaded to your ESP32.

3. ESP32-CAM Upload Code

Connect the ESP32-CAM lath to your computer using an FTDI programmer. Follow the side by side schematic diagram:

Many FTDI programmers have a jumper that allows you lot to select three.3V or 5V. Brand sure the jumper is in the right place to select 5V.

Important: GPIO 0 needs to be connected to GND so that you'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 next steps:

1) Go to Tools > Board and select AI-Thinker ESP32-CAM.

2) Get to Tools > Port and select the COM port the ESP32 is continued to.

3) Then, click the upload button to upload the code.

four) When yous start to see these dots on the debugging window equally shown beneath, press the ESP32-CAM on-board RST push button.

After a few seconds, the code should be successfully uploaded to your board.

Getting the IP address

After uploading the code, disconnect GPIO 0 from GND.

Open the Serial Monitor at a baud rate of 115200. Press the ESP32-CAM on-lath Reset button.

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

Accessing the Video Streaming Server

Now, you can access your camera streaming server on your local network. Open up a browser and type the ESP32-CAM IP address. Press the Start Streaming push to offset video streaming.

Y'all also take the option to take photos past clicking the Get However button. Unfortunately, this example doesn't save the photos, just you can modify information technology to use the on board microSD Card to store the captured photos.

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

Finally, y'all can exercise face recognition and detection.

First, you demand to enroll a new confront. It will make several attempts to relieve the face. Afterward enrolling a new user, it should find the face subsequently on (subject area 0).

And that'due south it. Now yous have your video streaming spider web server up and running with face detection and recognition with the example from the library.

Troubleshooting

If you're getting any of the post-obit errors, read ourESP32-CAM Troubleshooting Guide: Most Mutual Problems Fixed

Failed to connect to ESP32: Timed out waiting for packet header
Camera init failed with error 0x20001 or similar
Brownout detector or Guru meditation error
Sketch also big error – Wrong partition scheme selected
Board at COMX is not bachelor – COM Port Not Selected
Psram error: GPIO isr service is not installed
Weak Wi-Fi Signal
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 than avant-garde home automation projects that feature video, taking photos, and face recognition.

In this tutorial we've tested the CameraWebServer example to test the camera functionalities. Now, the thought is to modify the case or write a completely new code to build other projects. For example, take photos and relieve them to the microSD carte du jour when movement is detected, integrate video streaming in your dwelling house automation platform (like Node-RED or Home Assistant), and much more than.

Nosotros hope you've find this tutorial useful. If you don't take an ESP32-CAM even so, you can take hold of it here.

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

ESP32-CAM Video Streaming Web Server (works with Abode Assistant and Node-RED)
ESP32-CAM Have Photo and Salve to MicroSD Carte du jour
ESP32-CAM PIR Movement Detector with Photo Capture (saves to microSD menu)
ESP32-CAM Accept Photo and Display in Spider web Server
Build ESP32-CAM Projects (eBook)
Read all our ESP32-CAM Projects, Tutorials and Guides

williamstwounds.blogspot.com

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