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Yahboom K210 Vision Sensor Module Kendryte for UNO RaspberryPi AI Smart Camera Open-Source Code,Face|QR|Object| Color with 32GB TF Card, Adjustable Bracket
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Yahboom K210 Vision Sensor Module Kendryte for UNO RaspberryPi AI Smart Camera Open-Source Code,Face|QR|Object| Color with 32GB TF Card, Adjustable Bracket
Yahboom K210 visual recognition module is an image processing module based on artificial intelligence technology.
Yahboom K210 Vision Sensor Module Kendryte for UNO RaspberryPi AI Smart Camera Open-Source Code,Face|QR|Object| Color with 32GB TF Card, Adjustable Bracket
Item #: 255122572

Yahboom K210 Vision Sensor Module Kendryte for UNO RaspberryPi AI Smart Camera Open-Source Code,Face|QR|Object| Color with 32GB TF Card, Adjustable

87% of respondents would recommend this to a friend

Item #: 255122572

DKK 541

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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

Versatile Detection
Equipped with advanced AI capabilities, the Yahboom K210 Vision Sensor can detect faces, QR codes, objects, and colors, making it an ideal choice for diverse applications.
Open-Source Flexibility
The open-source code allows developers to customize and innovate, ensuring that the K210 Vision Sensor can be tailored to meet specific project requirements or personal preferences.
Complete Package
Included 32GB TF card and 2-inch LCD touchscreen enhance user experience, providing ample storage and immediate visual feedback, streamlining project setups without extra purchases.

Product Details

Shop for the Yahboom K210 Vision Sensor Module at Ubuy Greenland. Compatible with Arduino, Raspberry Pi, Micro:bit and more. Open-source code for AI Smart Camera, Face Recognition, Object Detection and more.
  • 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 TechnologyUSB
Operating SystemLinux
Wireless CompabilityBluetooth
Compatible DevicesSTM32, Raspberry Pi Pico, Arduino, BBC-V2
RAM Memory TechnologyLPDDR4
Processor Count2
Total Usb Ports1
BrandYahboom
Model NameK210 Module
Built-In MediaUser Manual
Number of Items1
ManufacturerYahboom
Model NumberK210 Vision Sensor Module
Mfr Part NumberK210 Module Adjustable Bracket
Included ComponentsUser Manual
Item Weight0.6 lbs (270 grams)

Who Should Buy?

Suitable For
  • AI Enthusiasts

    Ideal for individuals interested in developing AI-powered applications with face and object recognition capabilities.

  • Educators and Students

    Perfect for teaching and learning about AI and computer vision through hands-on projects and experiments.

  • Hobbyist Developers

    Great for hobbyists looking to create personalized projects combining AI and visual recognition features easily.

Not Suitable For
  • Beginner Users

    May not be suitable for complete beginners unfamiliar with programming and AI concepts, requiring prior knowledge.

Product Description

Yahboom K210 Vision Sensor Module Kendryte for UNO RaspberryPi AI Smart Camera Open-Source Code,Face|QR|Object| Color with 32GB TF Card, Adjustable Bracket

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.

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Customer Questions & Answers

  • Question: What is the Yahboom K210 Vision Sensor Module?

    Answer: The Yahboom K210 Vision Sensor Module is an advanced AI module designed for integrating with UNO and Raspberry Pi platforms. It supports multiple functionalities including face recognition, QR code decoding, object detection, color classification, and road sign recognition. This module is built with open-source code, allowing developers and hobbyists to create customized applications and smart devices. It is particularly useful for projects in robotics, surveillance, and automation.
  • Question: How do I connect the Yahboom K210 module to my Raspberry Pi?

    Answer: To connect the Yahboom K210 module to your Raspberry Pi, you'll first need to ensure that both devices are powered off. Use the GPIO pins for communication; typically, connect the module's I2C or UART pins to the corresponding pins on the Raspberry Pi. After establishing the connection, you can use open-source libraries provided with the module to initiate communication. This setup is ideal for projects requiring real-time image processing and analysis.
  • Question: Can the Yahboom K210 recognize multiple objects simultaneously?

    Answer: Yes, the Yahboom K210 Vision Sensor Module is capable of recognizing multiple objects simultaneously. Its AI algorithms are designed to analyze images in real-time, allowing for instant detection of various items within a single frame. This feature is particularly useful in applications like autonomous vehicles or smart surveillance systems, where recognizing several objects is crucial for navigation and safety.
  • Question: What kind of projects can I use the Yahboom K210 for?

    Answer: The Yahboom K210 module can be utilized in versatile projects such as smart cameras, robotic systems, and interactive kiosks. For instance, one could create a face recognition system for security purposes or develop a color-sorting robot that categorizes items based on color detection. These applications highlight the module's flexibility and integration capabilities, making it popular among developers and tech enthusiasts.
  • Question: Is the Yahboom K210 compatible with Arduino?

    Answer: Yes, the Yahboom K210 Vision Sensor Module is compatible with Arduino. This opens up a multitude of possibilities for hobbyists and developers who want to leverage the simplicity of Arduino for their projects. By using the appropriate libraries and example codes available, you can easily integrate this sensor module into your Arduino-based projects for functions like face detection and object recognition.
  • Question: What programming languages can I use with the Yahboom K210?

    Answer: The Yahboom K210 supports various programming languages, primarily Python and C++. This allows developers to choose their preferred language when writing code for projects involving the module. Python is particularly favored in the AI community due to its simplicity and extensive libraries for machine learning, while C++ offers performance advantages in embedded systems. Both languages facilitate enhancing project efficiency and functionality.
  • Question: How accurate is the recognition feature of the Yahboom K210?

    Answer: The recognition accuracy of the Yahboom K210 Vision Sensor Module is noteworthy, with advanced algorithms that ensure reliable performance for face detection, QR code reading, and object identification. While the exact accuracy can fluctuate based on environmental conditions and lighting, many users find it satisfactory for various practical applications. This makes the module suitable for both hobbyist projects and more critical applications.
  • Question: Can the Yahboom K210 work in low-light environments?

    Answer: The Yahboom K210 Vision Sensor Module is optimized for better performance in various lighting conditions, but its effectiveness in low-light environments may have limitations. Adequate lighting will improve recognition rates significantly. For applications requiring low-light recognition, consider incorporating supplemental lighting or infrared sensors into your project setup to enhance visibility and recognition accuracy.
  • Question: Where can I buy the Yahboom K210 Vision Sensor Module?

    Answer: You can buy the Yahboom K210 Vision Sensor Module conveniently on Ubuy in Greenland. Ubuy offers a wide selection of tech products and often features competitive pricing, making it a reliable option for purchasing the module. Their platform also provides helpful details and specifications about the product to aid informed buying decisions.
  • Question: Are there any tutorials available for the Yahboom K210?

    Answer: Yes, there are numerous tutorials available for the Yahboom K210 Vision Sensor Module. These tutorials cover everything from hardware setup to advanced programming techniques. Many contributors have shared their experiences on platforms like GitHub and educational websites, making it easier for newcomers to get started. Engaging with these resources will empower you to maximize the module's features in your projects.

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DKK 541

Order now and get it around Saturday, October 24

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Features & Benefits

  • 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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