ESP32 CAM WiFi Module Bluetooth with Camera Module 2MP Face Recognition

The ESP32-CAM is an advanced development board that integrates a powerful ESP32 SoC with Wi-Fi, Bluetooth, and a 2MP camera module, enabling high-performance wireless image processing and video streaming applications. Designed for AI-powered IoT solutions, this compact module supports face detection and face recognition algorithms, making it ideal for smart surveillance, home automation, and AI-driven embedded systems.

With its onboard microSD card slot, GPIOs, and low-power design, the ESP32-CAM is a cost-effective platform for wireless camera projects, image-based AI applications, and remote monitoring systems. Fully compatible with Arduino IDE and ESP-IDF, it offers a versatile development environment for rapid prototyping.

Key Features:

• Microcontroller: ESP32-D0WDQ6 Dual-Core Xtensa LX6 CPU (up to 240MHz)

• Wireless Connectivity: Wi-Fi 802.11 b/g/n & Bluetooth 4.2 (BLE)

• Camera Module: 2 Megapixel (1600x1200 resolution)

• External Storage: MicroSD Card Slot (up to 4GB)

• GPIO Pins: Up to 9 GPIOs available for peripheral interfacing (SPI, I2C, PWM, UART)

• Onboard Flash Memory: 4MB

• Support for Face Detection & Recognition using ESP-WHO AI framework

• Low Power Consumption Mode for battery-powered applications

• Programming Support: Arduino IDE, ESP-IDF, PlatformIO

Applications:

• Wireless Video Streaming & IP Cameras

• Smart Home Security & Surveillance Systems

• Face Recognition Access Control

• IoT-Based Remote Monitoring Solutions

• AI Camera Projects and Image Processing

• Robotics Vision Systems

Package Includes:

• 1 x ESP32-CAM WiFi Module with Camera (2MP)

Why Choose This ESP32-CAM Module?

• Combines powerful dual-core processing with high-resolution camera capabilities.

• Enables AI-based Face Recognition & Detection directly on-device.

• Fully compatible with Arduino IDE & ESP-IDF for flexible development.

• Compact design ideal for DIY IoT camera solutions and edge AI projects.

• Cost-effective module for rapid AI+IoT project deployment.