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K210 Vision Camera Module for Arduino Raspberry Pi Jetson Nano ESP32, Touch Control Smart AI USB Camera Open Source Robot Maker Python Development
HKD 626
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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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產品詳情
| Item Weight | 0.5 lbs (230 grams) |
產品敘述
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
客戶問題&回答
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題:
What types of recognition can WonderMV perform?
回答: WonderMV can perform color recognition, face recognition, road sign recognition, QR code and barcode recognition, among others. -
題:
How do I interface WonderMV with my existing controller?
回答: WonderMV comes with serial and I2C ports for easy connection to various controllers such as Arduino and Raspberry Pi. -
題:
Is the software for WonderMV easy to modify?
回答: Yes, the code is fully open-source, allowing users to easily develop and customize their AI vision applications.
LewanSoul Single Board Computers Editorial Review
Customer Reviews & Ratings
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優點
- Good image quality
- Compatible with multiple platforms
- Easy to set up
- Flexible for AI projects
缺點
- Some users find the instructions unclear.
Product Price History
重要資訊
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HKD 626
現在訂購,約可在下列時間收貨: 星期三, 七月 01
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
特色和優勢
- 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.