T5 E-Paper S3 Pro
T5 E-Paper S3 Pro
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Description ▼
Note: This is the LILYGO T5 E-Paper S3 Pro (915MHz with GPS) — a powerful ESP32-S3 development board featuring a 4.7-inch E-Paper display, SX1262 LoRa, GPS, touch input, TF card slot, and RTC. Ideal for low-power IoT dashboards, digital signage, Meshtastic nodes, and e-paper projects.
The LILYGO T5 E-Paper S3 Pro is a high-performance e-paper development platform built on the ESP32-S3. It combines a large 4.7-inch touch E-Paper display, long-range SX1262 LoRa (915MHz), GPS positioning, rich storage options, and ultra-low power consumption — making it perfect for battery-powered IoT applications, digital signs, and advanced Meshtastic or MeshCore projects.
KEY FEATURES
- 4.7-inch E-Paper Display: High-resolution touch-enabled e-ink screen with excellent sunlight readability and ultra-low power.
- ESP32-S3 Processor: Powerful dual-core MCU with Wi-Fi and Bluetooth 5.0.
- SX1262 LoRa (915MHz): Long-range, low-power wireless communication.
- Built-in GPS: High-sensitivity GNSS module for accurate location tracking.
- Rich Peripherals: TF Card slot, RTC (PCF8563), capacitive touch, and battery management.
- Low Power Design: Ideal for long-term battery-powered deployments and e-paper applications.
- Expandable: Full support for Arduino IDE, ESP-IDF, and MicroPython.
SPECIFICATIONS
| Product Name | LILYGO T5 E-Paper S3 Pro (915MHz with GPS) |
| MCU | ESP32-S3 |
| Display | 4.7-inch E-Paper (Touch) |
| LoRa | SX1262 (915MHz) |
| GNSS | Built-in GPS module |
| Memory | 16MB Flash + 8MB PSRAM |
| Storage | TF Card Slot |
| RTC | PCF8563 |
| Wireless | Wi-Fi 802.11 b/g/n + Bluetooth 5.0 |
| Touch | Capacitive Touch (GT911 or similar) |
| Power | Battery management with charging support |
| Compatibility | Arduino IDE, ESP-IDF, MicroPython |
WHAT'S INCLUDED

NOTES
- Excellent for low-power e-paper dashboards, digital signage, GPS tracking, and Meshtastic/MeshCore applications.
- Ultra-low power E-Paper makes it ideal for always-on battery-powered displays.
- Full development support via Arduino, ESP-IDF, and MicroPython.
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