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RealSense Depth Camera, RGBD 3D Mapping for ROS Robotics SLAM Camera, with Environment Perception Object Detection Tracking
MNT 1467032
Price Details
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The XR Realsense depth camera provides powerful 3D depth perception and AI computing capabilities, tailored for engineers in robotics.
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What Stands Out
Бүтээгдэхүүний дэлгэрэнгүй мэдээлэл
| Connectivity Technology | Infrared, USB |
| Special Feature | Infrared |
| Water Resistance Level | Not Water Resistant |
| Form Factor | Compact |
| Item Dimensions D x W x H | 3.54"D x 3.54"W x 3.54"H (9 x 9 x 9 cm) |
| Operating System | Android, Linux |
| Lens Type | Zoom |
| Focus Type | Auto Focus |
| Video Capture Format | MPEG 4 |
| Effective Still Resolution | 1080 pixels |
| Image Aspect Ratio | 4:3 |
| Supported Image Format | JPEG |
| File Format | JPEG |
| Effective Video Resolution | 1280 pixels |
| Brand | XiaoR Geek |
| Model Name | XiaoR Geek RealSense Depth Camera |
| Unit Count | 1 Count |
| Manufacturer | WiFi Robots |
| UPC | 713838512095 |
| Display Resolution Maximum | HD |
| Flash Memory Type | SD |
| Compatible Devices | Laptop |
| Country of Origin | This item will be imported from US |
| Date First Available | May 21, 2023 |
| What is in the box | RealSense Depth Camera, RGBD... For more details, please check description/product details |
Who Should Buy?
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Robotics Developers
Ideal for robotics developers using ROS to implement SLAM and enhance autonomous navigation with depth perception.
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Research Institutions
Perfect for research settings focusing on computer vision, robotics, or AI, facilitating advanced environment mapping and tracking.
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Prototyping Enthusiasts
Great for hobbyists or makers creating prototypes that require depth sensing for interactive and intelligent applications.
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Casual Users
Not suitable for everyday users looking for simple cameras as it requires technical skills and integration efforts.
БАРААНЫ ТАЙЛБАР
RealSense Depth Camera, RGBD 3D Mapping for ROS Robotics SLAM Camera, with Environment Perception Object Detection Tracking
Хэрэглэгчийн асуулт, хариулт
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Асуулт:
Is the XR Realsense depth camera suitable for outdoor use?
Хариулт: Yes, it is designed for a variety of indoor and outdoor environments. -
Асуулт:
What programming languages can be used with this depth camera?
Хариулт: You can program with C, C++, Java, and C#. -
Асуулт:
What are the main applications of the XR Realsense depth camera?
Хариулт: It is used for 3D face recognition, obstacle avoidance, security surveillance, and more.
XiaoR Geek Dome Cameras Editorial Review
RealSense Depth Camera, RGBD 3D Mapping for ROS Robotics SLAM Camera, with Environment Perception Object Detection Tracking features advanced infrared connectivity technology and a compact form factor, measuring just 3.54 inches in diameter. It's designed for seamless compatibility with Android and Linux operating systems, making it a versatile choice for various robotics applications. Users have praised its effective still resolution of 1080 pixels and impressive video capture format of MPEG 4, ensuring high-quality imaging for detailed object detection and environment perception tasks. This camera is particularly suitable for SLAM (Simultaneous Localization and Mapping) in robotics, providing precise tracking capabilities to engage with surroundings.
Customer Reviews & Ratings
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5 од
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4 од
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1 од
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Бусад хэрэглэгчидтэй санал бодлоо хуваалцана уу
Давуу тал
- Compact design for easy integration
- High 1080p still resolution
- Supports Android and Linux systems
- Auto focus for sharp images
- Infrared connectivity for depth sensing
Сул талууд
- Not water resistant, handle with care
Platform Trust & Buyer Confidence
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Product Price History
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MNT 1467032
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Онцлог & Давуу талууд
- Designed specifically for engineers working on robots and automation systems.
- Delivers high-definition 3D depth perception with low power consumption (1.4W).
- Supports multiple programming languages including C, C++, Java, and C#.
- Equipped with RGB and infrared cameras, plus a depth processor.
- Capable of operating in diverse indoor and outdoor environments.
- Ideal for applications in target recognition, obstacle avoidance, and 3D modeling.
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