Product Overview
If you are looking for a board that can truly handle your next Internet of Things project, look no further. The SparkFun Artemis Thing Plus combines the powerful Artemis module with our popular Thing Plus footprint. It packs 1MB flash, 384k RAM, and a 48MHz Cortex-M4F (with 96MHz turbo) into a compact, versatile form factor that offers the perfect balance of power and flexibility.
Ease of Use
We've designed this board to ensure that "time-to-first-blink" is less than five minutes, regardless of your experience level:
- Arduino Core: We wrote the core from scratch to be lightweight and fast, making programming the Artemis as familiar as typing
Serial.begin(9600)in the Arduino IDE. - Modern Connections: Includes a reversible USB-C connector for easy programming and reliable power delivery.
Feather & Qwiic Ecosystems
The Artemis Thing Plus is designed to serve as the ultimate hardware bridge, giving you simultaneous access to two of the most extensive hardware ecosystems available today:
- Feather Compatible: We have carefully arranged the pins to be fully compatible with the Feather footprint, allowing you to stack shields and utilize existing accessories.
- Qwiic Connect System: The onboard Qwiic connector allows you to daisy-chain sensors and actuators without ever picking up a soldering iron.
Machine Learning & Advanced Features
The Artemis Thing Plus is much more than a simple IoT node. It is a competent edge computing platform featuring dedicated hardware designed to support professional development workflows and modern AI implementation:
- Voice & AI Ready: An onboard digital MEMS microphone allows you to experiment with always-on voice commands and TensorFlow Lite machine learning models right out of the box.
- Pro-Level Tools: For advanced users, we’ve exposed the JTAG connector for professional debugging, enabling you to leverage the power and speed of professional-grade tools.
With Bluetooth built in, the SparkFun Artemis Thing Plus is the ideal choice for connected projects that need to scale as needed.
