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SparkFun RedBoard Artemis Nano - Machine Learning Development Board Includes BLE 1 megabyte of Flash USB-C Qwiic I2C MEMS Microphone Compatible with
ZAR 603
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A light weight, 0.8mm thick PCB, with on board LiPo-battery charging and a Qwiic connector
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What Stands Out
Product Details
- A light weight, 0.8mm thick PCB, with on board LiPo-battery charging and a Qwiic connector
- Dual row of ground connections make it easy to add lots of buttons, LEDs, and anything that requires its own GND connection
- Fully compatible with the SparkFun's compatible with Arduino core and can be programmed easily under the Arduino IDE platform
- With 1MB flash and 384k RAM you'll have plenty of room for your sketches.
- The Artemis module runs at 48MHz with a 96MHz turbo mode available and compatible with Bluetooth to boot. FCC/IC/CE Certified 8/16/2019 (ID Number 2ASW8-ART3MIS)
| RAM Memory Installed | 1 MB |
| Memory Storage Capacity | 1 MB |
| Processor Speed | 48 MHz |
| Connectivity Technology | I2C, USB |
| Operating System | Linux, Windows, macOS |
| Processor Brand | Nordic |
| Wireless Compability | Bluetooth |
| Compatible Devices | Qwiic compatible devices, Breadboard compatible devices |
| RAM Memory Technology | LPDDR3 |
| Processor Count | 1 |
| Total Usb Ports | 1 |
| Brand | SparkFun |
| Model Name | RedBoard Artemis Nano |
| Built-In Media | 17 GPIO, 8 ADC channels, 17 PWM channels, 2 UARTs, 4 I2C buses, 2 SPI buses, PDM Digital Microphone, Qwiic Connector |
| UPC | 845156009824 |
| Model Number | DEV-15443 |
| Mfr Part Number | DEV-15443 |
| Manufacturer | SparkFun Electronics |
| Ram Memory Installed Size | 1 MB |
| CPU Speed | 48 MHz |
| Item Weight | 0.03 lbs (10 grams) |
What's in the box
17 GPIO, 8 ADC channels, 17 PWM channels, 2 UARTs, 4 I2C buses, 2 SPI buses, PDM Digital Microphone, Qwiic Connector
Who Should Buy?
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Machine Learning Enthusiasts
Ideal for users wanting to explore and implement machine learning models in a compact, user-friendly development environment.
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Wearable Developers
Perfect for developers creating small wearable electronics, needing Bluetooth connectivity and efficient processing in limited space.
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Educational Purposes
Great choice for educators and students learning about machine learning, programming, and hardware integration with Arduino IDE.
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Beginner Electronics Users
Not suitable for complete beginners who may struggle with setup and programming of advanced features like machine learning.
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High Processing Demands
Users requiring substantial computational power for complex models may find the board's specifications limiting and insufficient.
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Non-Embedded Projects
Not ideal for users focused on non-embedded applications where a larger, more powerful system would be necessary.
Product Description
Customer Questions & Answers
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Is SparkFun RedBoard Artemis Nano - Machine Learning Available to Shop Online in South Africa?
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SparkFun Single Board Computers DEV-15443 Editorial Review
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Pros
- Compact and lightweight design
- Supports Bluetooth Low Energy
- Easy to use with Arduino IDE
- Compatible with TensorFlow models
- Includes MEMS microphone
Cons
- Limited storage space for complex projects.
Product Price History
Important information
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ZAR 603
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Features & Benefits
- Lightweight, thin PCB with on-board LiPo-battery charging and Qwiic connector
- Dual row of ground connections for easy addition of buttons, LEDs, and other components
- Fully compatible with SparkFun's Arduino core for easy programming
- 1MB flash and 384k RAM provide ample room for sketches
- Artemis module runs at 48MHz with 96MHz turbo mode and Bluetooth capability
- FCC/IC/CE Certified 8/16/2019 (ID Number 2ASW8-ART3MIS)
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