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- Yahboom ROS Depth Camera Nuwa-HP60C Camera RO...
Yahboom ROS Depth Camera Nuwa-HP60C Camera ROS Robot 3D Vision Mapping and Navigation Compatible with ROS2/RaspberryPi/Jetson/PC (Nuwa-HP60C + Adjust
€ 200
Price Details
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Using structured light 3D imaging, the camera provides high-precision depth maps, perfectly suited for various depth modeling applications.
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What Stands Out
Produkto Aprašymas
| Item Weight | 2.5 lbs (1.13 kg) |
Who Should Buy?
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Robotics Enthusiasts
Ideal for hobbyists building ROS-based robotic systems requiring depth perception and 3D mapping capabilities.
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Research Projects
Perfect for academic research projects focusing on navigation and environmental mapping using robot vision technologies.
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Developers
Suitable for developers creating applications for robotic systems on platforms like Raspberry Pi, Jetson, and PC.
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Casual Users
Not suitable for those seeking a simple plug-and-play camera for basic photography or video tasks.
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Budget-Conscious Buyers
May not appeal to users looking for low-cost solutions, as it targets specialized robotics applications.
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Beginner Programmers
Less suitable for individuals without programming knowledge or experience in robotic systems and ROS environments.
PRODUKTO APRAŠYMAS
Yahboom ROS Depth Camera Nuwa-HP60C Camera ROS Robot 3D Vision Mapping and Navigation Compatible with ROS2/RaspberryPi/Jetson/PC (Nuwa-HP60C + Adjust Bracket)
Klientų klausimai ir atsakymai
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klausimas:
What is the maximum range for depth mapping?
Answer: The camera provides high-precision depth maps for objects within a range of 0.2 to 4 meters. -
klausimas:
What AI functions does the camera support?
Answer: It supports functions like OpenCV, AR vision, gesture control, and motion capture. -
klausimas:
Is the camera compatible with other systems?
Answer: Yes, it supports Raspberry Pi, NVIDI-A JETSON series, PCs, and various robot platforms.
Yahboom Webcams Editorial Review
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€ 200
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Savybės ir privalumai
- Utilizes advanced structured light 3D imaging technology.
- Delivers high-precision depth maps for objects within 0.2 to 4 meters.
- Designed for indoor robot applications with robust navigation capabilities.
- Incorporates a built-in depth computing chip for efficient obstacle avoidance.
- Supports a wide range of AI functions for enhanced human-computer interaction.
- Compatible with various platforms including Raspberry Pi and NVIDI-A JETSON series.
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