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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
CLP 108120
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from Estados Unidos
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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
Detalles de producto
| Item Weight | 0.5 lbs (230 grams) |
Who Should Buy?
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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.
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Professional Photographers
Lacks advanced features and image quality required for professional photography, making it unsuitable for high-end photographic applications.
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Casual Users
Not ideal for simple, casual use as it requires set-up and knowledge that may deter non-technical users.
DESCRIPCIÓN DEL PRODUCTO
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
Preguntas y respuestas de los clientes
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Pregunta:
What types of recognition can WonderMV perform?
Respuesta: WonderMV can perform color recognition, face recognition, road sign recognition, QR code and barcode recognition, among others. -
Pregunta:
How do I interface WonderMV with my existing controller?
Respuesta: WonderMV comes with serial and I2C ports for easy connection to various controllers such as Arduino and Raspberry Pi. -
Pregunta:
Is the software for WonderMV easy to modify?
Respuesta: 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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5 estrella
100%
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4 estrella
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3 estrella
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2 estrella
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1 estrella
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ventajas
- Good image quality
- Compatible with multiple platforms
- Easy to set up
- Flexible for AI projects
Contras
- Some users find the instructions unclear.
Product Price History
Información importante
- Limitaciones: Para los productos enviados al extranjero, ten en cuenta que cualquier garantía del fabricante puede no ser válida; las opciones de servicio del fabricante pueden no estar disponibles; los manuales del producto, las instrucciones y las advertencias de seguridad pueden no estar en los idiomas del país de destino; los productos (y los materiales que los acompañan) pueden no estar diseñados de acuerdo con las normas, especificaciones y requisitos de etiquetado del país de destino; y los productos pueden no ajustarse al voltaje del país de destino y a otras normas eléctricas (lo que requiere el uso de un adaptador o convertidor, si procede). El destinatario es responsable de asegurarse de que el producto puede ser importado legalmente al país de destino. Cuando hagas un pedido a Ubuy o a sus filiales, el destinatario es el importador registrado y debe cumplir todas las leyes y normativas del país de destino.
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CLP 108120
Haz tu pedido ahora y recíbelo por ahí Sábado, Junio 27
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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.
características y beneficios
- 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.