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
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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 Detection,Line Tracking
Yahboom K210 visual recognition module is an image processing module based on artificial intelligence technology.
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
Vare #: 68651122

Yahboom K210 Vision Sensor Module for UNO RaspberryPi AI Smart Camera Open-Source Code,Face|QR|Object| Color| Road Sign Recognition, Feature

Vare #: 68651122

DKK 486

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Yahboom K210 visual recognition module is an image processing module based on artificial intelligence technology.
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Hvad der skiller sig ud

Wide Recognition Capabilities
Equipped with advanced recognition technology for faces, QR codes, objects, colors, and road signs, enhancing project versatility for educational and development purposes.
AI Integration
Seamlessly integrates with Raspberry Pi and Arduino Uno, providing a smart camera solution that efficiently processes visual data using advanced artificial intelligence algorithms.
Open-Source Flexibility
Offers open-source code access, enabling users to customize features for specific applications, fostering innovation and collaborative development within the tech community.

Produktdetaljer

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 Vision Sensor Module
Built-In Media32G TF card, Adjustable Stand, K210 Vision Module, Micro USB Data Line
ManufacturerYahboom
Model NumberK210 Vision Sensor Module
Included Components32G TF card, Adjustable Stand, K210 Vision Module, Micro USB Data Line
Item Weight0.6 lbs (270 grams)

Hvem bør købe?

Suitable For
  • AI Enthusiasts

    Ideal for hobbyists and professionals exploring AI technologies like facial and object recognition in projects.

  • Educational Use

    Great for classrooms and workshops teaching students about computer vision, robotics, and programming.

  • Robotics Projects

    Perfect for those creating robots that require vision capabilities for navigation and interaction with the environment.

Not Suitable For
  • Casual Users

    Not suitable for individuals looking for a simple or plug-and-play camera solution without coding.

Produktbeskrivelse

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.

Har du spørgsmål? Chat med os

Kundespørgsmål og svar

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

    svar: 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.
  • spørgsmål: How do I connect the Yahboom K210 module to my Raspberry Pi?

    svar: 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.
  • spørgsmål: Can the Yahboom K210 recognize multiple objects simultaneously?

    svar: 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.
  • spørgsmål: What kind of projects can I use the Yahboom K210 for?

    svar: 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.
  • spørgsmål: Is the Yahboom K210 compatible with Arduino?

    svar: 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.
  • spørgsmål: What programming languages can I use with the Yahboom K210?

    svar: 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.
  • spørgsmål: How accurate is the recognition feature of the Yahboom K210?

    svar: 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.
  • spørgsmål: Can the Yahboom K210 work in low-light environments?

    svar: 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.
  • spørgsmål: Where can I buy the Yahboom K210 Vision Sensor Module?

    svar: 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.
  • spørgsmål: Are there any tutorials available for the Yahboom K210?

    svar: 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.

Yahboom Single Board Computers K210 Vision Sensor Module Editorial Review

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 provides an excellent entry point into machine vision. Users have noted its easy setup with MicroPython, which caters to those familiar with Python programming. Along with the included 32G TF card, the module supports various devices like STM32, Raspberry Pi Pico, and Arduino. The functionality of real-time multi-object recognition is a standout feature, making it ideal for advanced AI projects, despite minor drawbacks like the camera's quality or needing to find software online. Overall, it is a highly recommended tool for anyone looking to explore AI visual recognition.

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Fordele

  • Easy integration with various development boards
  • Supports advanced object recognition
  • Functionality right out of the box
  • Good quality build with useful components
  • Great for experimental AI projects

Ulemper

  • Camera quality is adequate but not exceptional

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DKK 486

Bestil nu og få den omkring Torsdag, September 17

QTY:

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Egenskaber og fordele

  • 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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