esp32-cam tft display price

Learn how to take photos with the ESP32-CAM board and save them to a microSD card using Arduino IDE. When you press the ESP32-CAM RESET button, it wakes up, takes a photo and saves it in the microSD card.

We’ll be using the ESP32-CAM board labelled as AI-Thinker module, but other modules should also work by making the correct pin assignment in the code.

To learn how to take photos with the ESP32-CAM and save them in the microSD card, you can watch the following video tutorial or keep reading this page for the written instructions and all the resources.

Note: according to the product specifications, the ESP32-CAM should only support 4 GB SD cards. However, we’ve tested with 16 GB SD card and it works well.

When the ESP32-CAM takes a photo, it flashes the on-board LED. After taking the photo, the LED remains on, so we send instructions to turn it off. The LED is connected to GPIO 4.

Open the Serial Monitor at a baud rate of 115200. Press the ESP32-CAM reset button. It should initialize and take a photo. When it takes a photo it turns on the flash (GPIO 4).

Note: if you’re having issues with the ESP32-CAM, take a look at our troubleshooting guide and see if it helps: ESP32-CAM Troubleshooting Guide: Most Common Problems Fixed

After making sure that everything is working as expected, you can disconnect the ESP32-CAM from the FTDI programmer and power it using an independent power supply.

We hope you’ve found this tutorial useful and you are able to use it in your projects. If you don’t have an ESP32-CAM board, you can click here to get one.

The ESP32-CAM AI-Thinker is one of the most popular ESP32 development boards with camera – it comes with a lot of useful features and costs around $7 or less!

The ESP32-CAM board comes with an on-board antenna, but also with an IPEX connector allowing you to alternatively use an external antenna to improve the Wi-Fi communication range.

One of the major drawbacks of the ESP32-CAM is that is doesn’t have USB-to-UART interface. This means that you can’t connect the ESP32-CAM directly to your computer using an USB cable. You need to use an FTDI programmer. Nonetheless, this is one of the most versatile and cheapest ESP32 development boards with camera.

The TTGO T-Journal is a $12-$15 ESP32 Camera Development Board with an OV2640 camera, an external antenna, an I2C SSD1306 0.91 inch OLED display, some exposed GPIOs, function button, battery connector and a micro-USB interface.

The OLED display is a great addition to the board. You can display the board IP address, or any errors while debugging. There are four accessible GPIOs. Two of them are for I2C communication and other two are perfect to connect servo motors (you can also connect other peripherals).

The TTGO T-Camera Plus comes with all the functionalities we would want in such development board and for a very reasonable price. The board comes with microSD card support, microphone, support for a 3.7V lithium battery as well as battery management circuit, 1.3 TFT display (color screen), microUSB interface and on-board reset button.

This camera features a OV2640 camera, a 0.96 inch SSD1306 OLED display, a grove connector (ideal to connect I2C devices), battery connector, a PIR motion sensor, on-board RESET button and function button connected to GPIO 34. Like the previous board, it also features 8MB PSRAM, but it doesn’t support microSD card.

This is another ESP32 board with camera from M5-Stack. This ESP32-Camera doesn’t have PSRAM. In practical terms this means the camera is not able to do face recognition and detection and doesn’t support picture resolution higher than SVGA (800×600). You may also have a hard time with video streaming. Some people reported that his camera heats up very fast with video streaming. Usually, when you get one of these boards, you also get an heat-sink precisely because of that.

In our opinion, the ESP32-CAM AI-Thinker is the most versatile for beginners (and it’s also cheaper) but it needs an FTDI programmer to upload code. If you don’t want to use the FTDI programmer there are other boards to choose from, like the TTGO T-Journal. The TTGO T-Plus is the one with more functionalities: microphone, microSD card, a color screen, and much more.

In this project we will develop an AI Camera using Google Vision API & ESP32 CAM Module. This is basically detailed testing of Google Vision API with ESP32 Camera for the applications of Artificial Intelligence and Machine Learning. The developedAI camera can detect objects in the frame captured and displays the frame as well as detected labels on the TFT LCD Screen.

The project requires some time and patience as a lot of steps are involved in it. We will write the Arduino Code for ESP32 CAM Module and add some libraries like TFT Library, JSON Library & Decoder Library. The next process involves setting up Google Vision API & NodeJS installation with some settings required for GCP. All the hardware setup along with Arduino & NodeJS code is fully explained in this article. Thus developing a homemade AI Camera using Google Vision & ESP32 CAM Module would be easy.

In order to program the ESP32 CAM Module, you can use the above schematic. But the schematic for the project Google Vision API with ESP32 Camera is a little different. We have used the ILI9341 2.8″ TFT LCD Display so that the display will be used for displaying the captured image. Here is the connection diagram for the project.

Here we have explained the whole workflow, from how the object is detected to displaying labels on the screen. We are having our ESP32 CAM module which captures the image of the environment or the object and then sends it to the TFT screen using SPI protocol so that the image is displayed on the screen.

The NodeJS server sends the image to the Vision AI API. But to interact with the API it needs some authentication which is done using the Authentication ID. Once the frame is sent, the API returns the labels to the server, and from the server, these labels are sent to the ESP-CAM and from there, labels are displayed on TFT-Screen.

Now in order to the use TFT screen and read the data from the server we require a few libraries which can be installed using the Arduino library manager. To open Library manager press Ctrl+shift+I, it might take a few seconds to open according to the system specifications. Now in the search bar type the name of libraries and install them.

Makerfabs has launched a 3.5-inch TFT touchscreen display with built-in WiFi and Bluetooth connectivity through an ESP32-S3 dual-core Tensilica LX7 microcontroller clocked at 240 MHz with vector instructions for AI acceleration.

This display offers a 320×480 resolution through the ILI9488 LCD driver, uses a 16-bit parallel interface for communication with ESP32-S3 clocked at up to 20 Mhz making it suitable for smooth graphics user interface, and the company also claims it is smooth enough for video displays, but more on that later.

Display – 3.5-inch color TFT LCD with 480×320 resolution, 16-bit parallel interface (ILI94988 driver), and capacitive touch panel (FT6263); backlight controller

The display can be programmed with the Arduino IDE. Sample code using the LovyanGFX library and EAGLE schematics and PCB layout can be found on Github. Makerfabs also designed an ESP32-S2 model that lacks Bluetooth connectivity, and the ESP32-S3 touchscreen display comes with more RAM and eMMC flash.

I was tipped about this display by Jon, a regular reader and commenter on CNX Software, who bought it, and said it works as advertised. The ESP32-S3 can really drive a high-speed display with a parallel LCD interface. However, it can’t stream video because there is no H.264 decoder, but it is great if you want a responsive GUI.

Makerfabs ESP32-S3 16-bit parallel capacitive touchscreen display is sold for $39.80 plus shipping, and the ESP32-S2 model is the same price with a resistive display, and there’s a capacitive display option for $4 more. As a side note, we previously wrote about another, smaller ESP32-S3 display, namely the LilyGO T-Display-S3, with a 1.9-inch display connected over a slower 8-bit parallel interface, and no touchscreen function that sells for around $17.

Today, we will build a robot car that uses Mecanum Wheels. Our vehicle will also have a remote control with a joystick, a TFT display, and a rechargeable battery.Read More »

Today we will use the I2S protocol and some I2S peripherals with an ESP32. We"ll display microphone waveforms and build an MP3 player and an Internet Radio.Read More »

Learn how to use one of the ESP32-CAM board"s most neglected features - the MicroSD card. In this article, I"ll show you how to use the MicroSD card to store photos taken with the camera.

Today we will look at the amazing ESP32-CAM module from A-Thinker. This 10-dollar module features a 2MP camera, microSD card socket, WiFi, and Bluetooth.

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

This module is the 3.2” version of the ESP32 touchscreen display, based on ESP32-WROVER, with a built-in 2M pixel OV2640 camera. The LCD is 320x240 TFT, with driver is ILI9341, 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.