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- Yahboom K210 Vision Sensor Module for UNO Ras...
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Nº de artículo:
68651122
Yahboom K210 Vision Sensor Module for UNO RaspberryPi AI Smart Camera Open-Source Code,Face|QR|Object| Color| Road Sign Recognition, Feature
Nº de artículo:
68651122
MXN 1445
Price Details
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Nuestros socios logísticos principales
Yahboom K210 visual recognition module is an image processing module based on artificial intelligence technology.
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Lo que Destaca
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.
Detalles de producto
- 1Tops computing power, efficient image processing capabilities: The K210 vision module is equipped with an efficient AI chip, a 2 million pixel OV2640 camera, and a built-in 2.0-inch LCD capacitive touch screen. It can process image data at a very fast speed while consuming low power, supporting various application scenarios such as face feature recognition, barcode recognition, object detection, color recognition, and visual line tracking.
- Simplified AI vision development learning: The Smart Vision Sensor uses MicroPython programming, with CanMV as the development environment. According to Yahboom's tutorials, users can skip the complex process of deploying visual algorithms and only need to record 5 images to complete autonomous model training, lowering the learning and use threshold of AI technology.
- Multi-controller compatibility: The K210 vision recognition module is equipped with a serial interface and can be used with various controllers such as STM32, RaspberryPi Pico, Ard-uino, BBC-V2, MSPM0, etc. Users can easily output visual recognition results to an external controller through the serial port, without the need to delve into complex visual algorithms, making it easy to create creative AI projects.Identify multiple colors simultaneously
- Open source code: The program source code of the Smart AI Lens Kit is completely open source, not a closed-source product that can only be used without further development. This enables users to more easily develop and customize their own visual application programs. In addition to powerful AI recognition functions, we also provide rich development materials to facilitate users to learn and develop their own AI projects.
- Diverse application scenarios: The compact K210 vision module can be widely used in electronic competitions, efficient experimental teaching, robot extensions or personal DIY projects, and even widely used in various fields such as smart homes, industrial automation, etc., providing users with more possibilities and innovation space.
| 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) |
Contenido de la Caja
K210 Vision Module
Adjustable Stand
32G TF card
Micro USB Data Line
¿Quién Debería Comprarlo?
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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
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.
¿Tiene alguna pregunta? Chatea con nosotros
Preguntas y respuestas de los clientes
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pregunta:
What is the Yahboom K210 Vision Sensor Module?
responder: 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. -
pregunta:
How do I connect the Yahboom K210 module to my Raspberry Pi?
responder: 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. -
pregunta:
Can the Yahboom K210 recognize multiple objects simultaneously?
responder: 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. -
pregunta:
What kind of projects can I use the Yahboom K210 for?
responder: 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. -
pregunta:
Is the Yahboom K210 compatible with Arduino?
responder: 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. -
pregunta:
What programming languages can I use with the Yahboom K210?
responder: 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. -
pregunta:
How accurate is the recognition feature of the Yahboom K210?
responder: 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. -
pregunta:
Can the Yahboom K210 work in low-light environments?
responder: 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. -
pregunta:
Where can I buy the Yahboom K210 Vision Sensor Module?
responder: You can buy the Yahboom K210 Vision Sensor Module conveniently on Ubuy in Mexico. 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. -
pregunta:
Are there any tutorials available for the Yahboom K210?
responder: 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
The latest self-contained module for machine vision from Yahboom has garnered attention for its compact design and robust functionality. Users are particularly impressed with the combination of a quality screen and an adequate camera, the OV2640, which, while not top-tier, still performs satisfactorily for the intended applications. The core programming environment revolves around MicroPython, which simplifies the coding experience for those with prior Python knowledge, and Yahboom’s well-crafted training materials add significant value by providing functional code examples that enhance the learning process. One of the standout features is the inclusion of an AI vision algorithm module within its firmware, allowing users to delve into AI visual recognition with ease. This capability is a primary reason many customers commend the module for significantly lowering the barrier to entry into advanced computer intelligence programming. Users have reported having fun experimenting with real-time multi-object recognition and are excited about the endless possibilities this product opens up for their projects. However, while the product is generally well-received, a few drawbacks have been noted. Some users highlighted that the device should ideally come equipped with a rechargeable battery for more convenient usage, rather than requiring a Constant plug-in. Additionally, there were concerns raised regarding the included micro SD card, where users found it odd that the Sandisk branding was obscured, and they expressed frustration over the absence of pre-installed software or AI models, requiring them to navigate the website for downloads. In summary, Yahboom's machine vision module is being embraced for its user-friendly design and powerful features, particularly for those interested in AI and object recognition tasks. Despite minor setbacks, its potential for educational and practical applications is recognized, making it a recommended addition for tech enthusiasts and professionals alike. **
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Ventajas
- Fully self-contained module for machine vision experiments.
- High-quality screen and adequate OV2640 camera.
- Easy programming in MicroPython, supported by effective training materials.
- Firmware includes AI vision algorithm for quick start on visual recognition.
- Compact design allowing for real-time multi-object recognition.
Desventajas
- Lacks a rechargeable battery, necessitating a Constant power source.
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MXN 1445
Haz tu pedido ahora y lo recibirás alrededor del Martes, Agosto 25
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Nuestros socios logísticos principales
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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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