Arduino TINY Machine Learning Kit
- RS Stock No.:
- 260-3519
- Distrelec Article No.:
- 302-20-736
- Mfr. Part No.:
- AKX00028
- Manufacturer:
- Arduino
Bulk discount available
Subtotal (1 unit)*
SGD90.25
(exc. GST)
SGD98.37
(inc. GST)
FREE delivery for orders over $150, or create a business account to enjoy free delivery from just $28
In Stock
- 39 unit(s) ready to ship from another location
- Plus 54 unit(s) shipping from 21 May 2026
- Plus 54 unit(s) shipping from 11 June 2026
Need more? Click ‘Check delivery dates’ to find extra stock and lead times.
Units | Per unit |
|---|---|
| 1 - 9 | SGD90.25 |
| 10 - 24 | SGD88.34 |
| 25 + | SGD86.59 |
*price indicative
- RS Stock No.:
- 260-3519
- Distrelec Article No.:
- 302-20-736
- Mfr. Part No.:
- AKX00028
- Manufacturer:
- Arduino
Specifications
Technical data sheets
Legislation and Compliance
Product Details
Find similar products by selecting one or more attributes.
Select all | Attribute | Value |
|---|---|---|
| Brand | Arduino | |
| Product Name | TINY Machine Learning Kit | |
| Kit Classification | Arduino Board | |
| Processor Part Number | AKX00028 | |
| Select all | ||
|---|---|---|
Brand Arduino | ||
Product Name TINY Machine Learning Kit | ||
Kit Classification Arduino Board | ||
Processor Part Number AKX00028 | ||
- COO (Country of Origin):
- IT
The Tiny Machine Learning Kit, combined with the exciting TinyML Applications and Deploying TinyML on Microcontrollers courses from EdX will equip you with all the tools to bring your ML visions to life! Build a small intelligent device that reacts to sounds like a keyword being spoken and recognizes gestures and even faces.
The kit consists of a powerful board equipped with a microcontroller and a wide variety of sensors (Arduino Nano 33 BLE Sense). The board can sense movement, acceleration, rotation, barometric pressure, sounds, gestures, proximity, colour, and light intensity. The kit also includes a camera module (OV7675) and custom Arduino shield to make it easy to attach your components and create your very own unique TinyML project. You will be able to explore practical ML use cases using classical algorithms as well as deep neural networks powered by TensorFlow Lite Micro.
Whats included in the kit:
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