K210 Vision Camera Module for Arduino Raspberry Pi Jetson Nano ESP32, Touch Control Smart AI USB Camera Open Source Robot Maker Python Development Board CanMV Sensor - WonderMV
K210 Vision Camera Module for Arduino Raspberry Pi Jetson Nano ESP32, Touch Control Smart AI USB Camera Open Source Robot Maker Python Development Board CanMV Sensor - WonderMV
K210 Vision Camera Module for Arduino Raspberry Pi Jetson Nano ESP32, Touch Control Smart AI USB Camera Open Source Robot Maker Python Development Board CanMV Sensor - WonderMV
K210 Vision Camera Module for Arduino Raspberry Pi Jetson Nano ESP32, Touch Control Smart AI USB Camera Open Source Robot Maker Python Development Board CanMV Sensor - WonderMV
K210 Vision Camera Module for Arduino Raspberry Pi Jetson Nano ESP32, Touch Control Smart AI USB Camera Open Source Robot Maker Python Development Board CanMV Sensor - WonderMV
K210 Vision Camera Module for Arduino Raspberry Pi Jetson Nano ESP32, Touch Control Smart AI USB Camera Open Source Robot Maker Python Development Board CanMV Sensor - WonderMV
K210 Vision Camera Module for Arduino Raspberry Pi Jetson Nano ESP32, Touch Control Smart AI USB Camera Open Source Robot Maker Python Development Board CanMV Sensor - WonderMV
Built on the Kendryte K210 AI chip, WonderMV guarantees stable and smooth neural network operations, making it perfect for efficient AI image recognition.
K210 Vision Camera Module for Arduino Raspberry Pi Jetson Nano ESP32, Touch Control Smart AI USB Camera Open Source Robot Maker Python Development Board CanMV Sensor - WonderMV
Č. položky: 119382224

K210 Vision Camera Module for Arduino Raspberry Pi Jetson Nano ESP32, Touch Control Smart AI USB Camera Open Source Robot Maker Python Development

Č. položky: 119382224

€ 72

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from USA

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USA Importované z obchodu USA

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Objednajte teraz a dostanete to okolo Sobota, Jún 27
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Built on the Kendryte K210 AI chip, WonderMV guarantees stable and smooth neural network operations, making it perfect for efficient AI image recognition.
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What Stands Out

Versatile Compatibility
The K210 Vision Camera Module seamlessly integrates with Arduino, Raspberry Pi, Jetson Nano, and ESP32, making it a flexible choice for various projects and enhancing user creativity in robotics and AI applications.
Touch Control
Equipped with touch control functionality, this camera module simplifies interaction, allowing users to easily adjust settings and enhance usability, which is particularly beneficial for educational and development environments.
Open Source Support
The module supports open-source development, encouraging innovation and collaboration within the maker community, allowing users to customize and expand their projects without proprietary restrictions.

Detaily produktu

Shop K210 Vision Camera Module for Arduino Raspberry Pi Jetson Nano ESP32, Touch Control Smart AI USB Camera Open Source Robot Maker Python Development Board CanMV Sensor - WonderMV online at a best price in Slovakia. B0DRPDTSV6
  • Based on K210 Chip, High-Performance Camera Module: Built on the Kendryte K210 AI chip, this camera module features a 64-bit RISC-V kernel processor and a 1TOPS high-performance computing chip. It ensures stable and smooth neural network operations, supporting AI image recognition, and handling complex computing tasks with efficiency.
  • Multi-Functional AI Vision Camera: WonderMV open source vision module is built on the K210 chip, boasting features such as color recognition, road sign recognition, vision line following, face recognition, tag recognition, QR code & barcode recognition, feature detection, number recognition, and more.
  • LCD Capacitive Touch Screen & I2C Port: Featuring a 2 inch LCD capacitive touch screen with a clear display resolution of 320*240 and 2 megapixel camera, WonderMV vision module facilitates swift debugging and control. Integrates a serial port and an I2C port, allowing WonderMV for easy connectivity with various sensors to expand functionality.
  • Open-Source Code: The program code of WonderMV vision module is fully open-source. This makes it easier for users to develop and customize their vision-based application programs. We provide extensive development materials and tutorials to help users learn and build their own AI projects.
  • Multi-controller compatibility: WonderMV vision module is equipped with serial and IIC interfaces, allowing seamless connection with a wide range of controllers, including Arduino, Raspberry Pi, Micro , STM32, and more. You can easily output visual recognition results to external controller via the serial port without diving into complex vision algorithms, making it easy to create innovative AI projects.
CPU Model210
Connectivity TechnologyI2C, Serial
Operating SystemLinux
Processor BrandKendryte
Compatible DevicesArduino, Raspberry Pi, Micro, STM32
RAM Memory TechnologyLPDDR4
Processor Count1
Total Usb Ports1
Smart Home CompatibilityNot Smart Home Compatible
BrandLewanSoul
Model NameWonderMV
Built-In Mediano
ManufacturerHiwonder
Unit Count1.0 Count
Included Componentsno
Item Weight0.5 lbs (230 grams)

What's in the box

no

Who Should Buy?

Suitable For
  • Educators & Students

    Ideal for teaching robotics and AI concepts, enabling hands-on learning experiences with coding and hardware integration.

  • Hobbyist Developers

    Perfect for DIY enthusiasts looking to explore computer vision projects and enhance their robotics skills with open-source tools.

  • AI Researchers

    Useful for conducting experiments in machine learning and vision applications, providing a flexible platform for innovative research.

Not Suitable For
  • Beginners

    May be overwhelming for those with no prior experience in programming or robotics due to its complexity and configuration needs.

  • Professional Photographers

    Lacks advanced features and image quality required for professional photography, making it unsuitable for high-end photographic applications.

  • Casual Users

    Not ideal for simple, casual use as it requires set-up and knowledge that may deter non-technical users.

OPIS PRODUKTU

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Otázky zákazníkov a odpovede na ne

  • otázka: What types of recognition can WonderMV perform?

    odpoveď: WonderMV can perform color recognition, face recognition, road sign recognition, QR code and barcode recognition, among others.
  • otázka: How do I interface WonderMV with my existing controller?

    odpoveď: WonderMV comes with serial and I2C ports for easy connection to various controllers such as Arduino and Raspberry Pi.
  • otázka: Is the software for WonderMV easy to modify?

    odpoveď: Yes, the code is fully open-source, allowing users to easily develop and customize their AI vision applications.

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Customer Reviews & Ratings

3.5
2 hodnotenia zákazníkov
  • 5 hviezda
    50%
  • 4 hviezda
    0%
  • 3 hviezda
    0%
  • 2 hviezda
    50%
  • 1 hviezda
    0%

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Pros

  • Good image quality
  • Compatible with multiple platforms
  • Easy to set up
  • Flexible for AI projects

Zápory

  • Some users find the instructions unclear.

Product Price History

Dôležité informácie

  • Obmedzenia: Pre produkty s medzinárodnou dopravou, berte, prosím, do úvahy, že záruka výrobcu nemusí platiť, možnosti servisu od výrobcu nemusia byť dostupné, návody a pokyny pre výrobky a bezpečnostná záruka nemusia byť v jazyku destinácie, výrobky (a doplnkové materiály) nemusia mať podobu podľa štandardov krajiny, špecifikácií alebo požadovaných označení, produkty nemusia spĺňať štandard napätia a iné elektrické štandardy destinácie (môže sa vyžadovať použitie adaptéra alebo konvertora, ak je to možné). Príjemca je povinný zabezpečiť, aby mohol byť výrobok importovaný do krajiny destinácie v súlade so zákonom. Pri objednávaní z Ubuy alebo od pridružených spoločností je príjemca je dovozcom tovaru a musí sa riadiť všetkými platnými právnymi predpismi krajiny destinácie.
  • Nie všetky výrobky, ktoré nájdete na Ubuy, sú na predaj, keďže Ubuy je globálny vyhľadávač. Produkty podliehajú aj pravidlám vývozu a obchodným pravidlám.