LILYGO T‑Watch S3 Plus is a powerful and developer-friendly ESP32‑S3 IoT smartwatch designed for makers, engineers, and wearable tech enthusiasts. With its dual-core ESP32‑S3 MCU, 16MB Flash, and 8MB PSRAM, it delivers the performance needed for advanced Arduino, Micropython, and ESP‑IDF projects.
Whether you're building a wearable GPS tracker, a LoRa-based sensor node, or a connected health monitor, the LILYGO T‑Watch S3 Plus is ready to go — in the lab, in the field, or on your wrist.
✨ Key Features of LILYGO T‑Watch S3 Plus
- 🧠 ESP32‑S3 Dual-Core MCU with 16MB Flash + 8MB PSRAM
- 📡 LoRa SX1262 for long-range, low-power wireless communication
- 📍 Built-in GPS module for precise location tracking
- 🌐 Wi-Fi 802.11 b/g/n + Bluetooth 5.0 BLE for flexible connectivity
- 🎤 Microphone + BMA423 motion sensor for rich data input
- 🔋 940mAh battery with AXP2101 PMU for efficient power management
- 🎮 DRV2605 haptic driver for ERM/LRA vibration feedback
- 💻 Compatible with Arduino IDE, ESP‑IDF, VS Code, and Micropython
- 🛠️ Open-source ecosystem with sample code and libraries on GitHub
📐 Specifications of LILYGO T‑Watch S3 Plus
| MCU | ESP32-S3 dual-core |
| Flash | 16MB |
| PSRAM | 8MB |
| Platform | Arduino IDE, ESP-IDF, VS Code, Micropython |
| Wireless | Wi-Fi 802.11 b/g/n; BLE V5.0 |
| Onboard Functions | Microphone, MAX98357A, Power Detection, BMA423, GPS, 940mAh Battery |
| LoRa Transceiver | SX1262 |
| Haptic Driver | DRV2605 (ERM & LRA) |
| Power Management | AXP2101 PMU |
🧑💻 Developer Resources
- ℹ️ Product Information — Sample projects, Arduino examples, and Micropython guides for LILYGO T‑Watch S3 Plus
- 💻 Technical Support — Join the community for ESP32‑S3 IoT smartwatch development tips and troubleshooting
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