DFRobot Study Pack of HUSKYLENS for micro:bit
- RS-artikelnummer:
- 358-195
- Tillv. art.nr:
- KIT0179-EN
- Tillverkare / varumärke:
- DFRobot
Antal (1 enhet)*
582,67 kr
(exkl. moms)
728,34 kr
(inkl. moms)
GRATIS leverans för online beställningar över 500,00 kr
I lager
- Dessutom levereras 17 enhet(er) från den 08 december 2025
- Dessutom levereras 10 enhet(er) från den 04 maj 2026
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Enheter | Per enhet |
|---|---|
| 1 + | 582,67 kr |
*vägledande pris
- RS-artikelnummer:
- 358-195
- Tillv. art.nr:
- KIT0179-EN
- Tillverkare / varumärke:
- DFRobot
Specifikationer
Datablad
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Produktdetaljer
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| Brand | DFRobot | |
| Product Name | DFRobot Study Pack of HUSKYLENS for micro:bit | |
| Accessory Category | Sensor | |
| Välj alla | ||
|---|---|---|
Brand DFRobot | ||
Product Name DFRobot Study Pack of HUSKYLENS for micro:bit | ||
Accessory Category Sensor | ||
- COO (Country of Origin):
- CN
The DFRobot Study Pack of HUSKYLENS for micro bit is an Husky Lens extension kit based on micro bit programming. It is suitable for students aged 8 to 19. Centered around Al image recognition, the kit is equipped with 7 external modules and 28 cards that are applicable to teaching scenarios. Study Pack of HUSKYLENS for micro bit Focusing on computer science, the tutorial provided for this kit aims to help students learn knowledge related to Al image recognition in an enjoyable and engaging way. In the tutorial, they will explore how the image recognition technology is applied to real-life through projects like face unlocking, Al camera, pet feeding, self-service charging, scanning code payment, target tracking, etc. And each project comes with corresponding teaching cards to help them get started easily.
A variety of tutorial cases, 25 fun projects in 12 lessons
28 teaching cards help you easily learn the AI image recognition function
Cards people, colors, objects, barcodes, labels, QR codes, object tracking
28 teaching cards help you easily learn the AI image recognition function
Cards people, colors, objects, barcodes, labels, QR codes, object tracking
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