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Yahboom K210 Vision Sensor Module for UNO RaspberryPi AI Smart Camera Open-Source Code,Face|QR|Object| Color| Road Sign Recognition, Feature
85% of respondents would recommend this to a friend
CLP 69755
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Yahboom K210 visual recognition module is an image processing module based on artificial intelligence technology.
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What Stands Out
Detalles de producto
- 1Tops computing power, efficient image processing capabilities
- Simplified AI vision development learning using MicroPython programming
- Multi-controller compatibility with serial interface for various controllers
- Open source code for easy development and customization
- Diverse application scenarios in electronic competitions, teaching, robot projects, and smart homes
- High-tech enterprise providing AI and robot education solutions
| Connectivity Technology | USB |
| Operating System | Linux |
| Wireless Compability | Bluetooth |
| Compatible Devices | STM32, Raspberry Pi Pico, Arduino, BBC-V2 |
| RAM Memory Technology | LPDDR4 |
| Processor Count | 2 |
| Total Usb Ports | 1 |
| Brand | Yahboom |
| Model Name | K210 Vision Sensor Module |
| Built-In Media | 32G TF card, Adjustable Stand, K210 Vision Module, Micro USB Data Line |
| Manufacturer | Yahboom |
| Model Number | K210 Vision Sensor Module |
| Included Components | 32G TF card, Adjustable Stand, K210 Vision Module, Micro USB Data Line |
| Item Weight | 0.6 lbs (270 grams) |
Who Should Buy?
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AI Enthusiasts
Ideal for hobbyists and professionals exploring AI technologies like facial and object recognition in projects.
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Educational Use
Great for classrooms and workshops teaching students about computer vision, robotics, and programming.
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Robotics Projects
Perfect for those creating robots that require vision capabilities for navigation and interaction with the environment.
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Casual Users
Not suitable for individuals looking for a simple or plug-and-play camera solution without coding.
DESCRIPCIÓN DEL PRODUCTO
Yahboom K210 Vision Sensor Module for UNO RaspberryPi AI Smart Camera Open-Source Code,Face|QR|Object| Color| Road Sign Recognition, Feature Detection,Line Tracking
About This Item
Introducing the Yahboom K210 Vision Sensor Module - the ultimate tool for revolutionizing your e-commerce experience. Whether you're a tech enthusiast, a small business owner, or simply someone who loves innovation, this smart camera is a game-changer. With its powerful AI capabilities and open-source code, the Yahboom K210 Vision Sensor Module is designed to enhance your online shopping experience like never before. Armed with face recognition, QR code detection, object recognition, color recognition, road sign recognition, and feature detection, this smart camera will elevate your product browsing and purchasing process to a whole new level. Designed to work seamlessly with popular platforms including Arduino, Raspberry Pi, and Micro:bit, this versatile camera can be easily integrated into your existing setup.
Whether you're using it for inventory management, retail analytics, customer tracking, personalized recommendations, or even augmented reality shopping, the Yahboom K210 Vision Sensor Module has got you covered. Experience the power of intelligent packaging and order fulfillment. With this smart camera, you can achieve automated product recognition, identify fraudulent activities, and even create personalized shopping experiences through interactive features like virtual try-on. The possibilities are endless. Built on the foundation of open-source code, the Yahboom K210 Vision Sensor Module encourages exploration and customization.
Unleash your creativity and adapt this smart camera to fit your unique needs. Its user-friendly interface and extensive documentation make it easy for anyone to get started. Don't settle for ordinary. Upgrade your e-commerce journey with the Yahboom K210 Vision Sensor Module.
Elevate your store's efficiency, security, and customer experience. Shop now and unlock the door to the future of online shopping.
Preguntas y respuestas de los clientes
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¿Cómo comprar Yahboom K210 Vision Sensor Module for UNO en línea desde Ubuy?
Respuesta: Es fácil comprar Yahboom K210 Vision Sensor Module for UNO en línea desde Ubuy.. Solo tiene que buscar el producto, elegir su método de envío al pagar y recibirlo en su ubicación. -
Pregunta:
¿Está Yahboom K210 Vision Sensor Module for UNO disponible para comprar en línea en Chile?
Respuesta: Sí, en Ubuy Chile, este producto está disponible para que lo compre a un precio razonable.. El Yahboom K210 Vision Sensor Module for UNO no está disponible localmente, pero puede confiar en nosotros con nuestros servicios de envío exprés. -
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Yahboom Single Board Computers K210 Vision Sensor Module Editorial Review
Customer Reviews & Ratings
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5 estrella
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- 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 69755
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características y beneficios
- Yahboom K210 visual recognition module is an AI-based image processing module
- Possesses a dual-core 64-bit processor, computing power up to 1TOPS
- Integrates a serial interface for easy connectivity with various controllers
- Suitable for embedded systems and intelligent hardware products
- Enables creation of creative AI projects
- Capable of QR code, bar code, and machine code recognition
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