LILYGO® T-LoRa Pager ESP32-S3 Handheld IoT Device, 2.33" Display, QWERTY Keyboard, GPS NFC/RFID, SX1262 LoRa Versions, Al Sensor

Sale price
$119.98
List price
$171.40
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$51.42 (30%)

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Color:T-LoRa Pager
Version:SX1262(433MHz)
In stock, usually dispatched in 2-3 business days.


 

 

T-Lora PagerProduct Description:

  • The LILYGO® T-Lora Pager is a handheld ESP32-S3-based programmable IoT development device designed for compact, stylish, and powerful wireless applications. Featuring a foldable antenna design, it ensures excellent RF performance while maintaining a clean and portable look.

     
  • Available in multiple versions — LR1121, SX1262, or CC1101 — it offers flexibility for different IoT and wireless communication needs, from LoRa to sub-GHz connectivity.

     
  • This versatile device integrates a 2.33-inch 222×480 display, full QWERTY keyboard, AI-enabled IMU (BHI260AP), U-blox GPS (MIA-M10Q), and NFC/RFID with RTC. For audio, it includes the ES8311 chip supporting microphone, speaker, and headset. Developers can expand further with the 2×8 GPIO header, encoder with push button, and NRF24L01 module compatibility. Power management is handled by TI monitoring chips for stability and efficiency.

     
  • Out of the box, the T-Lora Pager comes with a LILYGO-designed UI demo, enabling smooth interaction through the encoder and offering a foundation for custom development. With mounting options including a 1/4-inch screw interface, four M2 standoff mounts, and an included branded lanyard, it is ideal for wearable devices, GPS trackers, smart terminals, and portable IoT prototypes.

     
  • Whether you are building wireless communication systems, AIoT applications, or handheld IoT gadgets, the T-Lora Pager delivers a compact, powerful, and developer-friendly platform for innovation.

 

ℹ️Product Information

Check out our GitHub repository for sample code and more detailed information about this board.

  • https://github.com/Xinyuan-LilyGO/LilyGoLib

Technical support

Visit our GitHub community, post a description of the problem and our engineers will help you directly.

  • https://github.com/Xinyuan-LilyGo

 

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