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Ros2 Depth Camera

Die 10 besten Produkte von Dezember 2025
Letzte Aktualisierung: 10. Dezember 2025
Yahboom
Yahboom
Yahboom ROS Depth Camera Nuwa-HP60C Camera ROS Robot 3D Vision Mapping and Navigation Compatible with ROS2/RaspberryPi/Jetson/PC (Nuwa-HP60C+Adjust Bracket)
star

98

MAXIMALE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#1 GEWINNER

  • 【3D visual imaging technology】Using structured light 3D imaging, the camera can provide high-precision depth maps for objects within a range of 0.2 to 4 meters, which is very suitable for various depth modeling applications, meeting the robot's indoor environment usage scenarios to ensure the integrity of the depth camera's three-dimensional visual mapping, navigation and mapping.
  • 【High-performance depth computing】The built-in depth computing chip is designed for the robot's obstacle avoidance function, effectively eliminating the need for external computing resources.
  • 【Support AI functions】A variety of AI functions such as OpenCV, AR vision, gesture control, motion capture, etc. are implemented, suitable for various human-computer interaction scenarios. It provides an effective solution for robot perception, obstacle avoidance and navigation.
  • 【Wide compatibility】Supports RaspberryPi, NVIDI-A JETSON series controllers, PCs and industrial personal computers. Supports ROS, Raspberry Pi, JETSON series, RDK series robots.
  • 【Provide information】Supports ROS1/ROS2 systems and provides related SDKs, which is very suitable for robot and 3D vision development. 2 versions are available: separate depth camera; separate depth camera + adjustable bracket.
  • 152,99 € AUF AMAZON
Yahboom
Yahboom
Yahboom ROS2 Smart Car,Raspberry Pi5-8GB Rosmaster M1 Multimodal AI Vision Large Model, SLAM Navigation Programming, Mecanum Wheels Robot(M1 Superior Without Pi5-8GB)
star

98

MAXIMALE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#2

  • 【Flagship Performance, Outperforming All】Offers four development board options: Raspberry Pi5, Jetson Nano B01, RDK X5, and Orin Nano 8GB SUPER. The RDK X5 and Orin Nano, with their powerful computing capabilities, can perfectly run visual autonomous driving and road network planning simultaneously, achieving frame rates of up to 22-25fps for a smooth experience.
  • 【AI Large-Scale Model Fusion, AI Voice Interaction】Deeply integrates AI large-scale language models to achieve intelligent voice interaction. Integrates iFlytek Spark/OpenRouter. Pre-installed AI large-scale model fusion SLAM sandbox navigation eliminates the need for map reconstruction; experience autonomous driving right out of the box. (Map sold separately)
  • 【Dual-Core Technology, Unlocking Autonomous Driving】Innovatively integrates two core technologies: visual autonomous driving (lane keeping + road sign recognition) based on powerful GPU computing power, and road network planning technology based on ROS 2. It can simulate real-world road driving, offering more professional gameplay and closer resemblance to industrial application scenarios.
  • 【High-Performance Hardware Configuration】Utilizing a Mecanum wheel chassis for road sign and traffic light recognition, closely mimicking real-world driving and assisting users in developing autonomous driving technologies; equipped with a Nuwa-HP60C depth camera + TminiPlus Lidar/SLAM C1 Lidar, and a high-torque 520 Nm motor; a large-capacity battery provides 170% longer battery life, and includes a large-capacity TF card/SSD to meet multitasking needs.
  • 【Rich Configuration and Professional Resources, From Beginner to Expert】Includes a full-stack AI large-scale model-specific course and detailed robot resources. Yahboom provides professional technical support, helping users easily get started and deeply master ROS and AI robot technologies, from development board large-scale models to robot applications.
  • 399,99 € AUF AMAZON
Yahboom
Yahboom
Yahboom ROS Depth Camera Nuwa-HP60C Camera ROS Robot 3D Vision Mapping and Navigation Compatible with ROS2/RaspberryPi/Jetson/PC (Nuwa-HP60C Depth Camera)
star

96

BESTE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#3

  • 【3D visual imaging technology】Using structured light 3D imaging, the camera can provide high-precision depth maps for objects within a range of 0.2 to 4 meters, which is very suitable for various depth modeling applications, meeting the robot's indoor environment usage scenarios to ensure the integrity of the depth camera's three-dimensional visual mapping, navigation and mapping.
  • 【High-performance depth computing】The built-in depth computing chip is designed for the robot's obstacle avoidance function, effectively eliminating the need for external computing resources.
  • 【Support AI functions】A variety of AI functions such as OpenCV, AR vision, gesture control, motion capture, etc. are implemented, suitable for various human-computer interaction scenarios. It provides an effective solution for robot perception, obstacle avoidance and navigation.
  • 【Wide compatibility】Supports RaspberryPi, NVIDI-A JETSON series controllers, PCs and industrial personal computers. Supports ROS, Raspberry Pi, JETSON series, RDK series robots.
  • 【Provide information】Supports ROS1/ROS2 systems and provides related SDKs, which is very suitable for robot and 3D vision development. 2 versions are available: separate depth camera; separate depth camera + adjustable bracket.
  • 133,99 € AUF AMAZON
Yahboom
Yahboom
Yahboom Binocular Structured Light Depth Camera SLAM2 Mapping OpenCV Supports ROS2,Raspberry Pi,Jetson,PC,Linux Python with Adjustable Bracket Installation Ros Robot
star

92

TOP QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#4

  • AI VIEW▶ Launched the latest binocular structured light product, equipped with a more powerful new self-developed depth engine chip【MX6000】, which can provide high-precision FoV and a zero-blind zone depth measurement range of up to 2.5 meters, and stably output high-standard depth measurement results in a wider temperature range and a variety of working environments. It is suitable for robot 3D environment reconstruction and provides environmental modeling efficiency.
  • Powerful compatibility▶ Supports Raspberry Pi, N-VIDI-A Jetson series motherboards, PC computers, and Horizon RDK series development board kits; adapted to Rosmaster robots, can be used together; compatible with language platforms, supporting ROS2/ROS1, Linux, python, and c++ languages. Provide relevant system SDK technical support and data function packages. For details, please contact Yahboom.
  • Mini size▶ The depth camera is small in size and light in weight. It can be installed on the robot chassis and the elephant robot arm 280 at will. It comes with an adjustable bracket and does not need to be purchased separately; it uses a binocular architecture and has a certain ability to resist strong light. The binocular structured light depth camera is more recommended.Please note: For indoor use only.
  • AI Vision Cases▶ It can realize ORB SLAM2 PCL mapping, OpenCV image processing, hand detection, color tracking, ARtags and other AI artificial intelligence vision functions.
  • Application Scenarios▶ It can provide the optimal parameter configuration for different specific application scenarios; currently, the Dimensioning mode for measurement and reconstruction applications has been integrated to help users complete product development efficiently.
  • 209,00 € AUF AMAZON
Yahboom
Yahboom
Yahboom AI Vision Raspberry Pi 5 STEM Education Robotics ROS2 2DOF Camera Autopilot Educational Project Engineering Electronics 18+ WiFi/APP Control Provide Data Ubuntu20.04 (Without Pi 5)
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87

SICHERE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#5

  • 【First Raspberry Pi 5 robot】microROS robot is based on Raspberry Pi 5 development board, supports Raspberry Pi 5 power supply protocol, can provide 5.1V/5A power supply for Raspberry Pi 5, to avoid lag and reboot and other abnormalities, to play the full performance of the Raspberry Pi 5, the image visual processing is more clear. On-board ESP32 coprocessor, built-in Wi-Fi and Bluetooth function, can handle a number of sensor data. Please note: not compatible with raspberry pi 4B.
  • 【Fully compatible with ROS2】 Based on the Humble version of the ros2 system, it is widely used, stable and has many case tutorials; The communication technology of MicroROS is used between the main control and the driver board, the code is open-source, the programming software, one-stop learning. No need to worry about the robot hardware is not compatible, provide adaptive ROS2 exclusive function play.
  • 【MS200 is fully compatible with ROS2】supports indoor and outdoor, supports 360° scanning and detection, and realizes three-dimensional mapping; the MicroROS control board supports WiFi, Bluetooth, serial port and other communication functions, supports power supply for Raspberry Pi 5PD, and can be directly connected to the ROS2 environment for use. Easy to use and efficient; built-in 310 motor, the metal material is wear-resistant and durable and provides precise and stable motion control.
  • 【AI visual gameplay】The 2-degree-of-freedom 2MP HD camera gimbal is utilized for AI visual depth development, remote control through APP or handle,paired with the high performance of Raspberry Pi 5, enabling smooth implementation of face, QR code, and posture recognition, object tracking, line-following autonomous driving, and gesture recognition control.
  • 【What do you get】 You get a programmable robot kit with metal chassis construction, most of the accessories already installed, including expansion boards for on-board ESP co-processing and 6-axis IMU, 310-coded geared motors, 7.4V recyclable battery, Raspberry Pi 5 (depending on the version), Pi5 active radiator, radar, and 2DOF camera. High-performance hardware paired with solid electronics course content, including Yahboom's original hands-on training and theory courses.
  • 279,99 € AUF AMAZON
Yahboom
Yahboom
Yahboom ROS2 AI Voice-Controlled Robot Car, Equipped with Depth Camera and Robotic Arm Capable of 3D Grasping Objects,Includes Touch Screen, Robotics Programming Project（with DP Ver Orin NX 16GB）
star

82

SICHERE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#6

  • [Embodied Intelligence Experience] ROSMASTER M3 Pro uses the ROS2 system and the latest inference architecture, providing users with an enhanced user experience. It can see its surroundings, analyze its surroundings, and chat with users via voice, with support for free interruptions. Users don't need to issue specific voice commands; the robot will automatically understand the user's needs and execute them perfectly.
  • [Three Built-in AI Models] The ROSMASTER M3 Pro integrates a large language model, a large speech model, and a large vision model. Equipped with an AI large-scale voice module and a speaker, the robot supports real-time voice-to-text conversion. When connected to the OpenRouter platform, it can understand voice commands in real time and respond flexibly. The DABAI DCW2 depth camera gives the robot vision, enabling it to understand and analyze nearby objects.
  • [High-Performance Hardware]: The robot car features a large aluminum alloy chassis with four Mecanum wheels and a rear-wheel pendulum suspension design, enabling easy obstacle traversal and omnidirectional movement. A 6DOF robotic arm and depth camera combine to enable 3D intelligent gripping. Dual radars and a touchscreen (optional) facilitate data debugging. A choice of high-performance Jetson Orin development boards or Raspberry Pi motherboards are available.
  • [Version Note] ROSMASTER M3 Pro has 10 versions: one with a 7-inch IPS touch screen and one without. Each version is divided into 5 different master controllers: Orin NX 16GB / Orin NX 8GB / Orin Nano 8GB / Jetson Nano B01 / Raspberry Pi 16GB. To ensure the efficient operation of the robot car, it is recommended to choose a high-computing power development board.
  • [Systematic and Detailed Courses] With over 200 course materials, you'll quickly learn and experience the joy of AI. Yahboom's course code is fully open source. If you encounter technical issues, please contact Yahboom and our technical support team will assist you.
  • 2.069,00 € AUF AMAZON
youyeetoo
youyeetoo
youyeetoo Sipeed MaixSense A010 RGBD TOF 3D Depth Vision MCU & ROS Kamera
star

78

GUTE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#7

  • A010 unterstützt eine Auflösung von 100 x 100 und einen messbaren Abstand von 2,5 m, mit einem 2,9 cm großen LCD-Bildschirm für die Echtzeitvorschau. Es ist bereits zu verwenden, wenn es eingeschaltet ist, und unterstützt McU UART-Schnittstelle, ROS1/2 und USB-Schnittstelle für Pis.
  • Der leistungsstärkere AO75V mit einem zusätzlichen RGB-Sensor lMU (Inertial-Maßeinheit) hat eine Auflösung von 320 x 240, die 3D-Farbbilder und Punktwolken auf dem Host-Computer anzeigt, und alle RGBD-Daten können nur über ein uSB-Kabel abgerufen werden.
  • Unterstützt RoS-Systeme, offene Achsenpakete und Beispiele, Verbindung mit MCU und UART-Handbuch für Benutzer zu entwickeln.
  • A010 Comtool Anwendung Visuelle 3D Tiefe Bild- und Datensammlung, Kamera grafisch konfigurieren
  • WIKI: wiki.sipeed.com/hardware/en/en/maixsense/index.html
  • 47,00 € AUF AMAZON
Yahboom
Yahboom
Yahboom ROS Robot Kit Sunburst RDK Based on RDK Board SLAM Map Navigation Depth Camera Visual Recognition ROS2 Educational Robotic (RDK X5 Standard Kit)
star

78

GUTE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#8

  • The new RDK X3/RDK X5 development board has sufficient computing resources to process real-time data and complex computing tasks. Combined with Python programming and ROS2 operating system, users can develop various intelligent algorithms. Compatible with mainstream hardware interfaces in the market, it is an excellent alternative to raspberry pi and jetson, and an embedded AI development board for ecological developers.
  • Robot kit is based on ROS2 and TogetherROS robot operating system, equipped with high-performance hardware configurations such as radar, depth camera, multi-function expansion board, etc., to achieve super-multi-function applications such as visual line patrol, image classification, target inspection, radar mapping navigation, etc.
  • Users can control the car through mobile phone APP, PS2 handle, computer keyboard, ROS operating system, etc., and we have also developed a mapping navigation APP for it, so that users can realize mapping navigation at any time.
  • The all-aluminum alloy chassis is equipped with Mecanum wheel four-wheel drive independent drive, and the cube integrated stacking compact mini structure has strong maneuverability and flexibility, which is suitable for indoor development research.
  • Yahboom provides OpenCV image processing, multi-platform robot control, robot kinematics analysis robot tutorials, and any questions about robots can get online professional technical support.
  • 439,99 € AUF AMAZON
Yahboom
Yahboom
Yahboom ROS Robot Kit Sunburst RDK Based on RDK Board SLAM Map Navigation Depth Camera Visual Recognition ROS2 Educational Robotic (RDK X5 Advanced Kit)
star

71

GUTE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#9

  • The new RDK X3/RDK X5 development board has sufficient computing resources to process real-time data and complex computing tasks. Combined with Python programming and ROS2 operating system, users can develop various intelligent algorithms. Compatible with mainstream hardware interfaces in the market, it is an excellent alternative to raspberry pi and jetson, and an embedded AI development board for ecological developers.
  • Robot kit is based on ROS2 and TogetherROS robot operating system, equipped with high-performance hardware configurations such as radar, depth camera, multi-function expansion board, etc., to achieve super-multi-function applications such as visual line patrol, image classification, target inspection, radar mapping navigation, etc.
  • Users can control the car through mobile phone APP, PS2 handle, computer keyboard, ROS operating system, etc., and we have also developed a mapping navigation APP for it, so that users can realize mapping navigation at any time.
  • The all-aluminum alloy chassis is equipped with Mecanum wheel four-wheel drive independent drive, and the cube integrated stacking compact mini structure has strong maneuverability and flexibility, which is suitable for indoor development research.
  • Yahboom provides OpenCV image processing, multi-platform robot control, robot kinematics analysis robot tutorials, and any questions about robots can get online professional technical support.
  • 609,99 € AUF AMAZON
Yahboom
Yahboom
Yahboom for Jetson Orin Nano 8GB SUPER Ackerman Chassis, ROS2 AI Coding Robot with Large AI Model, SLAM Mapping and Autonomous Driving(A1-Ult-with-Orin-Nano-8GB)
star

68

GUTE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#10

  • 【AI Large Model Interaction & Embodied Intelligence】Rosmaster A1 supports dual-model dynamic reasoning, enhanced RAG search, and free conversation interruption. It recognizes the described scene and boasts superior environmental perception, reasoning, and intelligent execution capabilities, enabling natural, smooth, and context-aware human-computer interaction.
  • 【Controller Options for Diverse Applications】Rosmaster A1 Ackerman robot supports 5 different development board configurations: Jetson Orin Nano Super 8GB, Raspberry-Pi 5 (8GB), and Jetson Nano B01 4GB, catering to needs from beginners to advanced developers. Recommended for Orin Nano Super Version, high-performance deep learning research and computation, supporting more complex AI models.
  • 【High-performance hardware configuration】Adopts Ackerman steering chassis to realize road sign and traffic light recognition, close to actual driving, helping users develop autonomous driving technology; equipped with Nuwa-HP60C depth camera+TminiPlus lidar/SLAM C1 Lidar, using high-torque 520 motor; large-capacity battery, battery life increased by 170%, and comes with a large-capacity TF card to meet multi-tasking needs.
  • 【Relocalization SLAM Navigation】The upgraded SLAM with Relocalization system, high flexibility, requiring no environmental modifications. The map is stored in software, allowing for dynamic changes to tasks, paths, and destinations. It's ideal for complex, dynamic environments with frequent task changes. It also supports various AI applications such as SLAM mapping, path planning, object recognition, and target tracking.
  • 【Open Source Ecosystem & Professional Support】Compatible with ROS2/open source code, it provides detailed tutorials and an SDK. Expandable with accessories like robotic arms and sensors, it's suitable for AI research, educational experiments, smart home control, and more. It's an excellent choice for STEM education and robotics programming enthusiasts.
  • 819,00 € AUF AMAZON
depth camera