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JeVois-A33 Quad-Core Smart Machine Vision Camera for PC, Mac, Linux, Arduino, Raspberry Pi - Black - Beginner KIT
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JeVois-A33 Quad-Core Smart Machine Vision Camera for PC, Mac, Linux, Arduino, Raspberry Pi - Black - Beginner KIT
JeVois effortlessly adds powerful machine vision to all your PC, Mac, Linux, Arduino, and/or Raspberry Pi projects.
JeVois-A33 Quad-Core Smart Machine Vision Camera for PC, Mac, Linux, Arduino, Raspberry Pi - Black - Beginner KIT

JeVois-A33 Quad-Core Smart Machine Vision Camera for PC, Mac, Linux, Arduino, Raspberry Pi - Black - Beginner KIT

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JeVois effortlessly adds powerful machine vision to all your PC, Mac, Linux, Arduino, and/or Raspberry Pi projects.
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What Stands Out

Cross-Platform Support
Compatible with PC, Mac, Linux, Arduino, and Raspberry Pi, making it versatile for hobbyists and professionals alike, enhancing accessibility across various systems and projects.
Quad-Core Processing
Equipped with a powerful quad-core processor, enabling real-time image processing and machine vision applications, significantly improving performance compared to single-core alternatives.
Beginner-Friendly Kit
Designed for beginners, this kit includes comprehensive tutorials and support, facilitating easy setup and learning for new users, bridging the gap between concept and practical application.

Product Details

Get the JeVois-A33 Quad-Core Smart Camera for your PC, Mac, Linux, Arduino, Raspberry Pi. Experience the sense of sight in your projects immediately with its included machine vision algorithms. Shop now at Ubuy Bhutan.
  • Open-source quad-core camera with machine vision for PC, Mac, Linux, Arduino, Raspberry Pi
  • Compact self-contained package with video sensor, quad-core CPU, and 256MB DDR3
  • Includes 30+ free machine vision algorithms, open source, and ability to create custom algorithms in C++ or Python with OpenCV / TensorFlow
  • Active open-source community, documentation, and educational tutorials available at jevois.org
  • Features object recognition, face detection, road detection, object tracking, visual attention, motion detection, and more
  • Included in the package: JeVois-A33 smart camera, micro-serial cable, high-speed 8GB microSD card with pre-loaded software, Y-type 2.5ft mini-USB cable, USB card reader for microSD
Item Weight0.7 lbs (320 grams)

Who Should Buy?

Suitable For
  • Educational Purposes

    Ideal for students and educators looking to explore machine vision and robotics in a hands-on manner.

  • Hobbyist Projects

    Perfect for DIY enthusiasts using Raspberry Pi or Arduino to create custom image processing applications.

  • Prototype Development

    Useful for developers needing a cost-effective solution for rapid prototyping of vision-based applications.

Not Suitable For
  • Professional Applications

    Not suitable for high-end industrial applications requiring advanced features and robustness.

Product Description

JeVois-A33 Quad-Core Smart Machine Vision Camera for PC, Mac, Linux, Arduino, Raspberry Pi - Black - Beginner KIT

Have any Query? Chat with us

Customer Questions & Answers

  • Question: What is the JeVois-A33 Quad-Core Smart Machine Vision Camera?

    Answer: The JeVois-A33 is a compact and powerful machine vision camera that features a quad-core processor, making it suitable for a variety of applications, from robotics to AI-based projects. This versatile device can be easily integrated with PCs, Macs, Linux systems, Arduino, and Raspberry Pi setups. The camera aims to simplify the process of creating smart vision applications, enabling users to capture and process video and images in real-time.
  • Question: What are the main features of the JeVois-A33 camera?

    Answer: The JeVois-A33 comes equipped with a quad-core processor, full HD video streaming capabilities, and support for various programming interfaces. Key features include image processing functions, scene detection, and object tracking. Its versatility means users can customize the camera's functions according to their projects, making it ideal for beginners wanting to delve into the world of machine vision and image processing.
  • Question: Can I use the JeVois-A33 with my Arduino or Raspberry Pi?

    Answer: Yes, the JeVois-A33 is specifically designed for compatibility with Arduino and Raspberry Pi platforms. Users can easily integrate the camera into their existing systems, and with additional libraries and resources available, one can quickly get started on projects such as robotic vision or automated tasks. This makes the camera a perfect choice for hobbyists and enthusiasts looking to expand their projects with machine vision capabilities.
  • Question: What programming languages can I use with the JeVois-A33?

    Answer: You can use various programming languages including Python, C++, and Java with the JeVois-A33. These languages are supported due to the open-source nature of the camera's software, allowing developers to customize functionalities according to their needs. Whether creating simple scripts for image processing or complex applications involving machine learning, users have the flexibility to choose their preferred programming method.
  • Question: Is the JeVois-A33 suitable for beginners?

    Answer: Yes, the JeVois-A33 is beginner-friendly. It comes with extensive documentation, tutorials, and community support to help new users learn how to utilize its features effectively. The camera's plug-and-play design means minimal setup is required, allowing beginners to focus on experimenting with machine vision projects without overwhelming complexities. It's a great choice for educational purposes and DIY projects.
  • Question: What kind of projects can I create with the JeVois-A33?

    Answer: There are numerous projects you can create using the JeVois-A33, including autonomous robots, surveillance systems, machine learning applications, and interactive installations. For example, you can develop a line-following robot that uses camera input to navigate a path or a system that recognizes objects in real-time. The possibilities are virtually endless, limited only by your creativity and programming skills.
  • Question: Does the JeVois-A33 support video streaming?

    Answer: Absolutely, the JeVois-A33 supports full HD video streaming at various resolutions. This allows users to capture high-quality video suitable for applications such as remote monitoring and video processing projects. Additionally, the camera can stream video directly to a PC or server, facilitating real-time data transfer for computer vision tasks. You can expect this feature to be crucial for interactive applications in robotics and AI.
  • Question: How do I power the JeVois-A33 camera?

    Answer: The JeVois-A33 can be powered through a USB connection, making it convenient to use with various devices, including PCs and development boards like Raspberry Pi and Arduino. The USB power supply also simplifies integration into embedded systems, ensuring that users can easily access power while working on projects. This straightforward power requirement allows for more flexibility in project design.
  • Question: What is the image quality of the JeVois-A33?

    Answer: The JeVois-A33 offers excellent image quality with full HD resolution capabilities. This ensures that images captured are sharp and clear, making it suitable for a range of applications from simple monitoring tasks to advanced machine vision processes involving complex object recognition. Users will appreciate the clarity and detail in the imagery, which is critical for accurately processing visual data in projects.
  • Question: Where can I buy JeVois-A33 Quad-Core Smart Machine Vision Camera for PC, Mac, Linux, Arduino, Raspberry Pi - Black - Beginner KIT in Bhutan?

    Answer: You can purchase the JeVois-A33 camera on Ubuy, which offers a variety of products for tech enthusiasts including the JeVois-A33. Ubuy is a trusted platform known for providing access to international brands, ensuring that you have a reliable source for your machine vision needs in Bhutan.

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Features & Benefits

  • Contains a video sensor, quad-core 1.34GHz CPU, 256MB DDR3, USB video, and serial port.
  • Tiny and self-contained design with 28 cc of size.
  • Supports many platforms including PC, Mac, Linux, Arduino, and Raspberry Pi.
  • Includes more than 30 free machine vision algorithms for object recognition, face detection, road detection, and more.
  • Open-source software enables you to create your machine vision algorithms in C++ or Python using OpenCV or TensorFlow libraries.
  • Available modules include visual attention, object tracking, motion detection, and more.

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