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ESP32 CAM WiFi Module Bluetooth with OV2640 Camera Module 2MP For Face Recognization (Free 5 Jumper Wire)

ESP32 CAM WiFi Module Bluetooth with OV2640 Camera Module 2MP For Face Recognization (Free 5 Jumper Wire)

Regular price Rs. 540.00
Regular price Rs. 600.00 Sale price Rs. 540.00
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Specification

  • Connectivity: Wi-Fi
  • Camera: 2MP
  • Designed For: IoT Applications
  • More: See Description

Watch video click on the link below

https://www.youtube.com/watch?v=5MiCkSWRVv4

Description

  • The smallest 802.11b/g/n Wi-Fi BT SoC module.
  • Low power 32-bit CPU, can also serve the application processor.
  • Up to 160MHz clock speed, summary computing power 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.
  • Supports 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).

Short desc:

The ESP32-CAM is a compact development board based on the ESP32 microcontroller and equipped with a camera module. It is designed for building Internet of Things (IoT) applications that require image capturing and streaming capabilities. The board supports Wi-Fi and Bluetooth connectivity, has GPIO pins for connecting external components, includes a microSD card slot for local storage, and can be programmed using the Arduino IDE or ESP-IDF. It is a versatile and affordable solution for creating projects involving camera functionalities in the IoT domain.

Long desc:

The ESP32-CAM is a popular development board featuring the ESP32 microcontroller and a camera module, designed for building Internet of Things (IoT) applications that involve image capturing and streaming. Here’s a description of the ESP32-CAM:

1. ESP32 Microcontroller: The ESP32 is a powerful and versatile microcontroller manufactured by Espressif Systems. It combines a dual-core processor, Wi-Fi and Bluetooth connectivity, ample amounts of memory, and various peripherals, making it suitable for a wide range of IoT applications.

2. Camera Module: The ESP32-CAM board comes with a camera module attached to it. The camera module typically consists of an OV2640 or OV7670 image sensor, capable of capturing still images and streaming video.

3. Wi-Fi and Bluetooth Connectivity: The ESP32-CAM supports both Wi-Fi and Bluetooth connectivity. It can connect to a local Wi-Fi network, enabling it to communicate with other devices or send captured images and video over the internet. Bluetooth support allows for wireless communication with nearby devices.

4. GPIO Pins: The board provides a series of GPIO (General Purpose Input/Output) pins, allowing you to connect and control external components such as sensors, actuators, or displays. These pins can be configured for digital input/output, analog input, or specialized functions such as UART, I2C, or SPI.

5. MicroSD Card Slot: The ESP32-CAM board includes a microSD card slot, which allows you to store captured images or video locally on a microSD card.

6. USB Interface: The board features a micro USB port for power supply and programming. It can be connected to a computer for uploading firmware or interacting with the microcontroller.

7. Development Environment: The ESP32-CAM can be programmed using the Arduino IDE (Integrated Development Environment) or using the Espressif’s native ESP-IDF (Espressif IoT Development Framework). These environments provide libraries and tools to facilitate the development of IoT applications.

8. Support for AI Frameworks: The ESP32-CAM is capable of running lightweight machine learning models using frameworks such as TensorFlow Lite or MicroPython. This allows for on-device image recognition or other AI-related tasks.

Overall, the ESP32-CAM is a versatile and affordable development board that combines the power of the ESP32 microcontroller with a camera module, enabling the creation of IoT projects involving image capturing, streaming, and other related functionalities.

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