T-Watch S3
T-Watch S3
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Description ▼
Note: This is the LILYGO T-Watch S3 (915MHz Gun Color) — a compact ESP32-S3 based programmable smartwatch development board with LoRa (SX1262), 1.54" touch display, haptic feedback, and a 470mAh battery. Perfect for wearable DIY projects, education, and maker applications.
The LILYGO T-Watch S3 is a feature-packed wearable development platform powered by the ESP32-S3. It includes a crisp 1.54" capacitive touch display, SX1262 LoRa for long-range communication, rich sensors, haptic feedback, and a rechargeable battery — making it an excellent choice for custom smartwatch projects, fitness trackers, and educational wearable development.
KEY FEATURES
- ESP32-S3 Processor: Powerful dual-core MCU with Wi-Fi and Bluetooth 5.0 support.
- 1.54" Capacitive Touch Display: 240×240 IPS LCD with smooth touch interaction.
- SX1262 LoRa (915MHz): Long-range, low-power wireless communication.
- Rich Sensors & Feedback: BMA423 accelerometer, RTC, microphone, speaker, and haptic motor.
- Power Management: Advanced AXP2101 PMU with 470mAh rechargeable battery.
- Compact Wearable Design: Stylish Gun Color finish suitable for daily wear and prototyping.
- Full Development Support: Arduino IDE, ESP-IDF, VS Code, and MicroPython compatible.
SPECIFICATIONS
| Product Name | LILYGO T-Watch S3 (915MHz Gun Color) |
| MCU | ESP32-S3 (Dual-core) |
| Display | 1.54" IPS Capacitive Touch (240×240) |
| LoRa | SX1262 (915MHz) |
| Memory | 8MB PSRAM + 16MB Flash |
| Battery | 470mAh Li-Po |
| Wireless | Wi-Fi 802.11 b/g/n + Bluetooth 5.0 |
| Sensors | BMA423 3-axis Accelerometer, RTC |
| Audio & Feedback | Microphone + Speaker + Haptic Motor (DRV2605) |
| Power Management | AXP2101 PMU |
| Dimensions | Compact wearable form factor |
| Compatibility | Arduino IDE, ESP-IDF, MicroPython, VS Code |
WHAT'S INCLUDED
- 1 × LILYGO T-Watch S3 (915MHz, Gun Color)
- 1 × USB Cable
NOTES
- Excellent platform for wearable development, custom smartwatches, and educational projects.
- Supports full programming and customization via Arduino, ESP-IDF, and MicroPython.
- Great for makers and students interested in IoT wearables and LoRa communication.
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SKU:E1003
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