A beautiful 3.5” touchscreen display, based on ESP32-WROVER, with a built-in 2M pixel OV2640 camera, which makes it an ever perfect platform for your ESP32 projects.

Makerfabs ESP32 3.5” Touch with camera is absolutely open for makers, and besides, Makerfabs provide plenty of Demos to help the users on the usage. Have a try at this fantastic display in your next ESP32 project!~

This ESP32-CAM Project covers how to use ESP32-CAM with a TFT display to show the picture captured by the cam. We have covered several times how to use ESP32-CAM in different projects and we have described how to use ESP32-CAM in Machine Learning projects. Even if we can use ESP32-CAM with a Web server to show pictures, in this post we want to cover how to show a picture on a TFT screen (ST7735). Therefore, we would like to visualize the picture taken by the ESP32-CAM directly on the display. In this case, we use an ST7735s display, anyway, you can select a different TFT if you like.

You should already know how to take a picture using an ESP32-CAM therefore we will focus on two aspects only:How to connect the ESP32-CAM to TFT display

This is the most interesting part because here we will show the picture taken by the ESP32-CAM on the TFT display. To do it, we will use the TJpg_Decoder library because it simplifies our work. First of all, we use a low-resolution such as 120×160 so that the picture fits in the TFT.

defining the scale and the callback method used to render the picture:bool tft_output(int16_t x, int16_t y, uint16_t w, uint16_t h, uint16_t* bitmap){

At the end of this tutorial, you have learned how to use ESP32-CAM with TFT display. In this project we have integrated ESP32-CAM with ST7735 to show the image captured. We have build a simple camera machine using ESP32-CAM.

For this tutorial I’ve used an ESP32 -CAM, a 1.8″ TFT screen, an 18650 USB powerbank and a 3D printed case to make a selfie camera that automatically takes a photo when it sees a person’s face. The project has a lot of steps but is fairly simple. You can make it version without having a 3D printer.

Before uploading the code a few things need to be set up in the Arduino IDE. If this is your first time with the ESP32-CAM in the Arduino IDE you need to set up the ESP32 hardware libraries, learn to connect and test by following this tutorial ESP32-CAM in the Arduino IDE

There’s three libraries that need to be installed. The TFT_eSPI can easily be installed from the IDE library manager (Tools > Manage Libraries) by searching for TFT_eSPI. The TFT_eFEX and ESPAsyncWebserver libraries need to be installed by downloading the libraries using the the ‘Download ZIP’ link and in the IDE installing them with Sketch > Include Library > Add .ZIP Library.

The TFT_eSPI library needs to be configured to work with the ST7735S TFT panel. Copy the contents of the User_Setup.h file into the newly installed library file User_Setup.h file found in Documents > Arduino > libraries > TFT_eSPI. If you find the image quality is poor you can try other xxxxTAB versions. These refer to the colours of the tab on the screen protector but don’t match 100%.

The project only needs a few components. An ESP32-CAM, a 1.8″ ST7735S TFT screen, 10 male to male dupont cables, a USB powerbank, one 18650 battery and a spare USB cable or terminal block.

The project is wired as below. You need to connect two dupont cables to one connector so you can use 3v on the ESP32 to power the LED and VCC pins on the display.

Optionally there are two extra parts to print. A clip that holds the ESP32-CAM in place and a diffuser for the flash. The diffuser should be printed using a transparent filament.

Below is a quick video showing the the selfie capture sequence, starting with the face being detected, the flash lighting up, the photo being taken and finally the photo being displayed from the ESP32 SPIFFS storage:

The ESP32-CAM board is a $7 device that combines an ESP32-S chip and an OV2640 camera. It allows you to set up a video streaming web server, build a surveillance camera to integrate with your home automation system, do face recognition and detection, and much more.

Besides the OV2640 camera and several GPIOs to connect peripherals, the ESP32-CAM also features a microSD card slot that can be useful to store images taken with the camera or to store files to serve to clients.

Note: to upload code to the ESP32-CAM board, you need an FTDI programmer, so you might consider getting one when you buy your board. Or you can get the best ESP32-CAM-MB Micro USB Programmer – CH340G Serial Chip.

For a quick introduction to the ESP32-CAM, you can watch the video below or read our full getting started guide: ESP32-CAM Video Streaming and Face Recognition with Arduino IDE. This guide shows you how to quickly set up a video streaming with face recognition and detection in less than 5 minutes.

The following video shows how to build a simple video streaming web server with the ESP32-CAM and how to integrate it with Home Assistant. For the written instructions, you can read our tutorial: ESP32-CAM Video Streaming Web Server (works with Home Assistant).

Learn how to take photos with the ESP32-CAM and save them in the microSD card by watching the following video tutorial. You can read our project page or the written instructions and code: ESP32-CAM Take Photo and Save to MicroSD Card.

In this project, we’ve built a motion sensor detector with photo capture using an ESP32-CAM. When your PIR sensor detects motion, it wakes up, takes a photo, and saves it in the microSD card. Read project page: ESP32-CAM PIR Motion Detector with Photo Capture.

Learn how to build a web server with the ESP32-CAM board that allows you to send a command to take a photo and visualize the latest captured photo in your browser saved in SPIFFS. We also added the option to rotate the image if necessary. Read project page: ESP32-CAM Take Photo and Display in Web Server.

Free 16G SanDisk SD Card for ESP32 3.5"/3.2" TFT Touch, so you can test the display and camera by simply powering it up. Check this video: https://youtu.be/ep8f4jEe2gE

A beautiful 3.5” touchscreen display, based on ESP32-WROVER, with built-in 2M pixel OV2640 camera, which makes it an ever perfect platform for your ESP32 projects.

The 3.5” 320x480 TFT LCD driver is ILI9488, it uses SPI for communication with ESP32, the SPI main clock could be up to 60M~80M, make the display smooth enough for videos; and the camera OV2640 with pixel 2M, with this camera, you can make applications such as remote photography, face recognition…. While the camera not used, you can freely use all these pins with the breakout connectors, to connect the ESP32 display with sensors/ actuators, suitable for IoT applications.

The ESP32 TFT Touch support Arduino or MicroPython programming. This version is Touch Capacitive, you can also get the Touch Resistive here, both precisely and stable, select the one you prefer.

Makerfabs ESP32 3.5” Touch with camera is absolutely open for makers, and besides, Makerfabs provide plenty of Demos to help the users on the usage. Have a try of this fantastic display in your next ESP32 project!~

In this guide we’re going to show you how you can use the 1.8 TFT display with the Arduino. You’ll learn how to wire the display, write text, draw shapes and display images on the screen.

The 1.8 TFT is a colorful display with 128 x 160 color pixels. The display can load images from an SD card – it has an SD card slot at the back. The following figure shows the screen front and back view.

This module uses SPI communication – see the wiring below . To control the display we’ll use the TFT library, which is already included with Arduino IDE 1.0.5 and later.

The TFT display communicates with the Arduino via SPI communication, so you need to include the SPI library on your code. We also use the TFT library to write and draw on the display.

In which “Hello, World!” is the text you want to display and the (x, y) coordinate is the location where you want to start display text on the screen.

The 1.8 TFT display can load images from the SD card. To read from the SD card you use the SD library, already included in the Arduino IDE software. Follow the next steps to display an image on the display:

Note: some people find issues with this display when trying to read from the SD card. We don’t know why that happens. In fact, we tested a couple of times and it worked well, and then, when we were about to record to show you the final result, the display didn’t recognized the SD card anymore – we’re not sure if it’s a problem with the SD card holder that doesn’t establish a proper connection with the SD card. However, we are sure these instructions work, because we’ve tested them.

In this guide we’ve shown you how to use the 1.8 TFT display with the Arduino: display text, draw shapes and display images. You can easily add a nice visual interface to your projects using this display.