AI View Depth Camera with Binocular Structured Light for Raspberry PiJetson ROS Robot
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AI View Depth Camera with Binocular Structured Light for Raspberry PiJetson ROS Robot
The AI VIEW depth camera combines advanced binocular vision and structured light technology for high-precision 3D reconstruction in a compact design.
AI View Depth Camera with Binocular Structured Light for Raspberry PiJetson ROS Robot
Προϊόν #: 139872554

AI View Depth Camera with Binocular Structured Light for Raspberry PiJetson ROS Robot

Προϊόν #: 139872554

€ 253

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The AI VIEW depth camera combines advanced binocular vision and structured light technology for high-precision 3D reconstruction in a compact design.
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What Stands Out

Depth Imaging
Utilizes advanced binocular structured light technology to deliver precise depth imaging, enhancing the perception capabilities of Raspberry Pi and Jetson-based robots for accurate navigation and obstacle detection.
ROS Compatibility
Seamlessly integrates with Robot Operating System (ROS), making it easier for developers to implement complex robotic applications and streamline the development process for both education and research purposes.
High Resolution
Offers high-resolution depth data, providing detailed environmental information that improves robotic vision applications and supports sophisticated tasks like mapping and autonomous navigation.

Λεπτομέρειες προιόντος

Shop AI View Depth Camera with Binocular Structured Light for Raspberry PiJetson ROS Robot online at a best price in Cyprus. B0DHD3MQRW
Item Weight1 lbs (450 grams)

Who Should Buy?

Suitable For
  • Robotics Developers

    Ideal for developers working on robotics projects needing depth perception and structured light for navigation and object recognition.

  • Educational Institutions

    Great for universities and colleges offering robotics courses, facilitating hands-on learning with depth perception technologies.

  • Hobbyist Makers

    Perfect for DIY enthusiasts looking to incorporate advanced sensing technology into their Raspberry Pi or Jetson projects.

Not Suitable For
  • General Consumers

    Not suitable for casual users as it requires technical knowledge of ROS and robotics programming for effective use.

  • Low-Budget Users

    May not be budget-friendly for users or projects with limited financial resources, as advanced features come at a cost.

  • Non-Technical Users

    Individuals without a background in programming or robotics may struggle to utilize the product's full potential effectively.

ΠΕΡΙΓΡΑΦΗ ΤΟΥ ΠΡΟΪΟΝΤΟΣ

AI View Depth Camera with Binocular Structured Light for Raspberry PiJetson ROS Robot

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Ερωτήσεις & Απαντήσεις Πελατών

  • ερώτηση: What is the AI View Depth Camera and how does it work?

    απάντηση: The AI View Depth Camera utilizes binocular structured light technology to capture detailed depth information. By projecting a series of light patterns and analyzing the distortions caused by objects in the camera's field of view, it generates accurate three-dimensional mappings. This technology is particularly beneficial for robotics applications, enabling robots equipped with a Raspberry Pi or Jetson platform to perceive depth and navigate complex environments effectively.
  • ερώτηση: What platforms is the AI View Depth Camera compatible with?

    απάντηση: The AI View Depth Camera is compatible with popular platforms like Raspberry Pi and NVIDIA Jetson. This versatility makes it suitable for a wide range of projects in robotics and artificial intelligence. Whether you're developing a basic robot or an advanced machine learning application, this camera's compatibility ensures a seamless integration into existing setups, allowing developers to focus more on innovation rather than hardware constraints.
  • ερώτηση: What are the primary applications for this depth camera?

    απάντηση: This depth camera is widely used in robotic navigation, obstacle detection, and 3D mapping. These capabilities allow robots to understand their surroundings better, adapt to dynamic environments, and perform tasks such as object recognition and distance measurement. For instance, in a delivery robot, the camera can help in avoiding obstacles while mapping out the most efficient routes, significantly enhancing operational efficiency.
  • ερώτηση: How does the AI View Depth Camera enhance robotic vision?

    απάντηση: The AI View Depth Camera significantly enhances robotic vision by providing depth perception, allowing robots to interpret spatial relationships with accuracy. This advanced visual information improves decision-making processes and action execution. For example, in service robots, depth perception aids in safely navigating around people and obstacles, contributing to smoother interactions and improved performance in crowded environments.
  • ερώτηση: Can the AI View Depth Camera be used for 3D modeling?

    απάντηση: Yes, the AI View Depth Camera is ideal for 3D modeling applications. Its ability to capture precise depth data allows users to create highly accurate 3D representations of physical objects. This functionality is particularly useful in fields like architecture and design, where digital models need to reflect real-world dimensions accurately, thereby facilitating effective visualization and planning.
  • ερώτηση: Is the AI View Depth Camera suitable for indoor and outdoor use?

    απάντηση: The AI View Depth Camera is designed to perform well in both indoor and outdoor environments, thanks to its robust structured light technology. Whether you're mapping indoor spaces or conducting outdoor surveys, the camera adapts to varying light conditions and produces reliable depth data. This adaptability makes it an essential tool for developers working on diverse robotics projects, from home automation systems to agricultural robots.
  • ερώτηση: What kind of software support is available for the AI View Depth Camera?

    απάντηση: The AI View Depth Camera typically comes with software support for popular frameworks such as ROS (Robot Operating System). This integration offers a range of libraries and tools for processing depth data, facilitating easier experimentation and development. This compatibility allows developers to leverage existing resources and community support, speeding up project development and reducing the learning curve associated with new technologies.
  • ερώτηση: How do I set up the AI View Depth Camera with my Raspberry Pi or Jetson?

    απάντηση: Setting up the AI View Depth Camera involves connecting it to your Raspberry Pi or Jetson board via USB or GPIO pins, depending on the model. Once connected, you'll install the necessary drivers using provided software resources. Clear documentation and example projects often guide users through the initial setup, ensuring that hobbyists and developers can quickly begin leveraging the camera's capabilities for their robotics projects.
  • ερώτηση: What type of data output can I expect from the AI View Depth Camera?

    απάντηση: The AI View Depth Camera outputs both depth images and color images, providing a comprehensive view of the environment. These data formats enable various applications, from real-time object detection to complex scene analysis. Users can leverage depth data to create interactive applications that require an understanding of spatial dynamics, enhancing the functionality of robots in diverse scenarios.
  • ερώτηση: Where can I buy the AI View Depth Camera with Binocular Structured Light for Raspberry Pi/Jetson ROS Robot in Cyprus?

    απάντηση: You can conveniently purchase the AI View Depth Camera with Binocular Structured Light for Raspberry Pi/Jetson ROS Robot on Ubuy. Ubuy offers a user-friendly shopping experience and ensures that you have access to the latest technology products available in Cyprus. Visit their website to explore options and make your purchase.

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€ 253

Παραγγείλτε τώρα και πάρτε το περίπου: Monday, Αύγουστος 10

QTY:

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Χαρακτηριστικά & Πλεονεκτήματα

  • Compact size of 68.3*25.3*19.0mm, easy to carry.
  • High-precision 3D reconstruction using binocular vision and structured light.
  • Measurement range of 0.25-2.5 meters with strong light resistance.
  • Supports various indoor scenarios and applications like automatic navigation and object recognition.
  • Includes adjustable bracket and supports ROS1/ROS2 for versatile development.
  • Wide field of view with a minimal blind zone of just 0.25 meters.

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