ESP32 CAM Wifi+Blueooth Camera Module

Description

The ESP32-CAM is a compact, low-cost Wi-Fi and Bluetooth-enabled development board with an integrated OV2640 camera, ideal for IoT and surveillance projects. It can be programmed using the Arduino IDE and is widely used for applications like wireless monitoring and facial recognition.

Key Features and Specifications

The ESP32-CAM module integrates an ESP32-S chip with a 2-megapixel camera and other components for a complete, self-contained system.

• Microcontroller: Features a low-power dual-core 32-bit CPU (ESP32-D0WD) with a main frequency range of 80MHz to 240MHz.
• Memory: Includes 520 KB internal SRAM and 4 MB external PSRAM for buffering images and videos, along with 4 MB of flash memory for firmware storage.
• Camera: Typically comes with an OV2640 camera module, which supports resolutions up to 1600×1200 (UXGA) and image formats like JPEG, BMP, and GRAYSCALE. Some versions also support the OV7670 camera.
• Connectivity: Offers integrated Wi-Fi (802.11b/g/n) and Bluetooth 4.2 BR/EDR and BLE standards, enabling wireless communication for various IoT applications.
• Storage: Includes an onboard microSD card slot that supports up to 4GB TF cards for data and image storage.
• Interfaces & GPIO:  Provides 9 general-purpose input/output (GPIO) pins and supports interfaces such as UART, SPI, I2C, and PWM for connecting external sensors and peripherals.
• Power: Operates on a 5V power supply, which is recommended for image stability. It supports multiple sleep modes for low-power applications, with deep-sleep current as low as 6mA.
• Dimensions: The module is very compact, with a footprint of approximately 40.5mm x 27mm.

Programming and Usage Notes

• Programming: The ESP32-CAM lacks a built-in USB port and requires an external FTDI programmer or UART module to upload code using the Arduino IDE or ESP-IDF.
• Power Supply: A power supply of at least 5V 2A is recommended to ensure stable operation and avoid image instability.
• Applications: Common applications include building cost-effective surveillance systems, remote wildlife monitoring, face detection and recognition, and robotic vision