We will require the following components for this project Output formats include: YUV422, YUV420, RGB565, RGB555įor more information about ESP32-CAM, you can refer to the following article:.Contains OV2640/OV7670 video cameras with built-in flash, image Wi-Fi upload, TF card, FOTA upgrades and various sleep modesĮSP32-CAM OV2640 Video Camera Specifications.160MHz clock speed with computing power up to 600 DMIPS.Supports UART/SPI/I2C/PWM/ADC/DAC interfaces.Main frequency ranges from 80MHz-240MHz.

Equipped with Hall, on-chip and temperature sensor.

802.11b/g/n Wi-Fi, Classic Bluetooth 4.2 and BLE.

The key features of ESP32-CAM are given below: It can be used in various projects including facial recognition, image tracking, wireless monitoring, and identification.

It contains the ESP32-S chip, OV2640 video camera and a microSD card slot making it an inexpensive choice for IoT projects. The ESP32-CAM is part of the ESP32 development boards. The ESP32-CAM will be programmed in VS Code with ESP-IDF extension.īefore we move ahead, make sure you have the latest version of VS Code installed on your system with the ESP-IDF extension configured. Furthermore, An input pin of ESP32-CAM will be connected with a push button which will trigger the module to capture the photos and save them to SD card. We will see how to add ESP-CAM library in esp-idf. In this tutorial, we will learn how to use ESP32-CAM with ESP-IDF to capture photos and save them to a microSD card.

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