LILYGO T-TWR REV2.1
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LILYGO T-TWR REV2.1
The LILYGO T-TWR REV2.1 is a versatile development board designed for LoRa (Long Range) wireless communication applications. It integrates the ESP32 microcontroller with LoRa capabilities, making it ideal for IoT projects, remote sensing, and wireless data transmission over long distances.
Key Features
- Microcontroller: ESP32 with dual-core processor, providing robust performance for various applications.
- LoRa Communication: Integrated LoRa module for long-range wireless communication, suitable for IoT and remote monitoring.
- Display: Equipped with an OLED display, allowing for real-time data visualization and interaction.
- Power Management: Supports battery power with charging capabilities, enabling portable and energy-efficient designs.
- Expansion: Includes GPIO pins for easy expansion and integration with other sensors and modules.
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Programming: Compatible with popular development platforms such as Arduino IDE and PlatformIO, facilitating easy programming and customization.
Technical Specifications
| Specification | Details |
|---|---|
| Microcontroller | ESP32 dual-core processor |
| Wireless Connectivity | LoRa, Wi-Fi, Bluetooth |
| Display | OLED display |
| Power Supply | Battery-powered with charging support |
| GPIO Pins | Available for expansion |
| Programming Interface | USB |
| Dimensions | Compact form factor suitable for various applications |
Includes
Applications
- IoT Projects: Ideal for developing Internet of Things applications requiring long-range communication.
- Remote Sensing: Suitable for environmental monitoring and data collection over extended distances.
- Wireless Data Transmission: Perfect for projects needing reliable data transmission without relying on existing network infrastructure.
Refference
GitHub Repository: Access libraries, sample codes, and documentation on the LILYGO GitHub page
The LILYGO T-TWR REV2.1 offers a comprehensive solution for developers and hobbyists looking to implement LoRa communication in their projects, providing a robust platform with extensive features and support.
Effective Date: March 27, 2025
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