The ESP32-CAM-CH340 Development Board is a robust and versatile module that combines WiFi and Bluetooth capabilities with an integrated high-resolution OV2640 camera, along with the CH340 USB-to-serial chip for easier programming and setup. This development board is powered by the ESP32 chip, providing advanced processing power for IoT applications, image capture, and video streaming. With its compact design and high connectivity options, the ESP32-CAM-CH340 is ideal for applications in security systems, home automation, and AI projects that require visual data. The CH340 chip allows for easy serial communication with a USB interface, making it convenient to program and integrate into a variety of projects.
- OV2640 Camera Integration: Equipped with a high-quality OV2640 camera sensor for capturing images and video, suitable for surveillance and AI applications.
- WiFi and Bluetooth Connectivity: Dual connectivity options allow for flexible integration in IoT and smart home setups.
- ESP32 Processor: Powered by the ESP32 chip, offering excellent performance for handling IoT, networking, and processing tasks.
- CH340 USB-to-Serial Chip: Simplifies programming via USB, making it user-friendly and accessible for various development environments.
- Compact Form Factor: Small design enables easy integration into embedded systems and compact devices.
ESP32-CAM-CH340 Development Board Test Board WiFi + Bluetooth Module ESP32 Serial Port With OV2640 Camera Specifications
- Processor: ESP32
- Camera: OV2640 with up to 2MP resolution
- USB-to-Serial Chip: CH340
- Connectivity: WiFi 802.11 b/g/n, Bluetooth 4.2
- Flash Memory: 4MB, expandable via microSD
- Power Supply: 5V via USB or external power
- Dimensions: Compact and lightweight for easy integration
ESP32-CAM-CH340 Development Board Test Board WiFi + Bluetooth Module ESP32 Serial Port With OV2640 Camera Applications
- Security and Surveillance: Ideal for creating low-cost security cameras and monitoring systems with remote access.
- IoT Projects: Perfect for IoT applications that require both connectivity and visual data, such as remote monitoring or environmental analysis.
- Smart Home Integration: Easily integrated into smart home systems for automation, including facial recognition and motion detection.
- AI and Machine Learning: Supports applications in facial and object recognition, making it suitable for AI-powered projects.
- DIY Robotics: Adds vision capabilities to robotic systems for autonomous navigation and object tracking.