The ESP32 Camera Module with OV2640 2MP sensor is a powerful, low-cost IoT camera solution designed for AI, surveillance, and wireless image processing projects. Built around the ESP32-S chip, this module supports WiFi and Bluetooth connectivity, enabling real-time image transmission and remote monitoring. With its compact size, onboard antenna, and SD card slot for local storage, the ESP32 Camera is perfect for smart home automation, security systems, and AI vision applications.
Specification:
- Microcontroller: ESP32-S (dual-core 32-bit processor)
- Camera Sensor: OV2640, 2MP resolution
- Image Output Format: JPEG, BMP, or grayscale
- WiFi: 802.11 b/g/n, supports AP & STA mode
- Bluetooth: Integrated Bluetooth 4.2
- Flash Memory: 4MB
- PSRAM: 8MB
- MicroSD Slot: Supports up to 4GB of storage
- Antenna: Onboard PCB antenna
- Operating Voltage: 3.3V
- Current Consumption: ~180mA in active mode
- Interface: UART, I2C, SPI, PWM, GPIO
- Board Dimensions: 27mm x 40.5mm
Key Features:
- High-Resolution Camera: 2MP OV2640 sensor for capturing detailed images.
- WiFi & Bluetooth Support: Wireless image transmission and remote control via IoT networks.
- MicroSD Storage: Supports external storage for local image and video recording.
- Compact & Lightweight: Ideal for embedded and portable applications.
- Low Power Consumption: Efficient performance for battery-powered IoT projects.
- AI & Machine Learning Ready: Compatible with TensorFlow Lite for AI vision processing.
- Flexible Programming: Works with Arduino IDE, ESP-IDF, and MicroPython.
- Multiple Interfaces: Supports GPIO, PWM, I2C, SPI, and UART for extended functionality.
Applications:
- Home & Industrial Surveillance: Wireless monitoring and remote security cameras.
- Smart Home Automation: Motion detection and facial recognition projects.
- AI Vision & Object Detection: Edge AI-based real-time image recognition.
- Wireless IoT Applications: Cloud-connected live streaming and remote image capturing.
- Robotics & Drones: Vision-based navigation and obstacle detection.
- Wildlife Monitoring: Remote observation and wildlife conservation research.
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