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Item #:
119382224
K210 Vision Camera Module for Arduino Raspberry Pi Jetson Nano ESP32, Touch Control Smart AI USB Camera Open Source Robot Maker Python Development
Item #:
119382224
KWD 26
Price Details
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Imported from USA store
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Order now and get it around Monday, August 17
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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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Note: Step Down Voltage Transformer required for using electronics products of US store (110-120). Recommended power converters Buy Now.
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.
Product Details
| CPU Model | 210 |
| Connectivity Technology | I2C, Serial |
| Operating System | Linux |
| Processor Brand | Kendryte |
| Compatible Devices | Arduino, Raspberry Pi, Micro, STM32 |
| RAM Memory Technology | LPDDR4 |
| Processor Count | 1 |
| Total Usb Ports | 1 |
| Smart Home Compatibility | Not Smart Home Compatible |
| Brand | LewanSoul |
| Model Name | WonderMV |
| Built-In Media | no |
| Manufacturer | Hiwonder |
| Unit Count | 1.0 Count |
| Included Components | no |
| Item Weight | 0.5 lbs (230 grams) |
Who Should Buy?
-
Educators & Students
Ideal for teaching robotics and AI concepts, enabling hands-on learning experiences with coding and hardware integration.
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Hobbyist Developers
Perfect for DIY enthusiasts looking to explore computer vision projects and enhance their robotics skills with open-source tools.
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AI Researchers
Useful for conducting experiments in machine learning and vision applications, providing a flexible platform for innovative research.
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Beginners
May be overwhelming for those with no prior experience in programming or robotics due to its complexity and configuration needs.
Product Description
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
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
What types of recognition can WonderMV perform?
Answer: WonderMV can perform color recognition, face recognition, road sign recognition, QR code and barcode recognition, among others. -
Question:
How do I interface WonderMV with my existing controller?
Answer: WonderMV comes with serial and I2C ports for easy connection to various controllers such as Arduino and Raspberry Pi. -
Question:
Is the software for WonderMV easy to modify?
Answer: Yes, the code is fully open-source, allowing users to easily develop and customize their AI vision applications.
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Ahmad
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“Fast delivery, great experience overall.”
03-Jul-26 · via Trustpilot
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abbas
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“Excellent item received as expected and before the estimated time. Thanks for the great service.”
19-Jul-26 · via Trustpilot
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Waleed
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“Thank you for your message. I received the product and it is very good ? I?m really impressed with how great it works! I will be happy to share my feedback on the website.”
11 February 2026 · via Trustpilot
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Ahmed
Verified buyer
“Very good the same exact product that i wanted good shipping and delivery”
10 June 2026 · via Trustpilot
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Ambhita
Verified buyer
“Package delivered on time”
10 July 2026 · via Trustpilot
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KWD 26
Order now and get it around Monday, August 17
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Fastest cross-border delivery
Features & Benefits
- High-performance camera module powered by Kendryte K210 AI chip.
- Supports various AI functionalities including color, face, and tag recognition.
- Features a 2-inch LCD capacitive touch screen for easy control and debugging.
- Fully open-source code for customizable vision-based applications.
- Compatible with popular controllers like Arduino and Raspberry Pi.
- Ideal for developers looking to create innovative AI projects.
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