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Numéro d'article:
69956320
Arducam ToF Camera, 0.43MP Color Rolling Shutter Camera Module with Case for Raspberry Pi and Nvidia Jetson Board, Depth Sensing Solution ToF Tech
Numéro d'article:
69956320
MGA 331604
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Importé depuis la boutique USA
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Powerful depth/distance measurement with pixel-level accuracy.
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Produits 100 % originaux
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Certifié ISO 27001
Ce qui se démarque
Compact Design
The Arducam ToF Camera features a compact design that makes it easily integrable with Raspberry Pi and Nvidia Jetson boards, ensuring seamless user experience in various projects and applications.
Depth Sensing
Equipped with advanced Time-of-Flight technology, this camera provides precise depth sensing, enabling accurate distance measurements and enhanced spatial awareness for robotics and automation projects.
High Compatibility
Designed for versatility, the Arducam ToF Camera supports a wide range of applications, ensuring compatibility with multiple platforms and offering significant value for developers and hobbyists alike.
Détails du produit
- Pixel-level accuracy: powerful depth/distance measurement.
- Large working range: 2m/4m optional, and a 10-meter broader coverage with our cable extension kit.
- Outdoor usable: No worry of interference from ambient light.
- Any MV library works: 3 languages applicable. C, C++ or Python.
- Affordable decency: 3D imaging with primed point clouds at an unexpectedly low cost.
- Note: For connection on the NVIDIA Jetson AGX Orin platform, you will need an additional MIPI adapter board.
| Effective Still Resolution | 0.43 MP |
| Compatible Devices | Raspberry Pi, Nvidia Jetson Nano/NX |
| Connectivity Technology | Infrared |
| Photo Sensor Resolution | 0.43 MP |
| Brand | Arducam |
| Manufacturer | Arducam |
| Model Number | B0410C |
| Mfr Part Number | B0410C |
| Maximum Webcam Image Resolution | 0.43 MP |
| Item Weight | 0.5 lbs (230 grams) |
À qui est-ce destiné ?
-
Developers
Ideal for developers building robotics or IoT applications requiring depth sensing capabilities for enhanced interaction.
-
Educators
Perfect for educators demonstrating computer vision and robotics concepts in classroom settings with practical applications.
-
Hobbyists
Great for hobbyists who want to experiment with depth sensing technology in DIY projects using Raspberry Pi or Jetson.
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Casual Users
Not suitable for casual users seeking simple photography or general camera use without specialized knowledge.
-
Professional Photographers
Limited image quality and functionality make it unsuitable for professional photography demands and high-end projects.
-
High-Speed Applications
Not recommended for applications needing high-speed video capture due to rolling shutter limitations affecting fast movements.
DESCRIPTION DU PRODUIT
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Questions et réponses des clients
-
question:
What is the Arducam ToF Camera used for?
répondre: The Arducam ToF Camera is primarily designed for depth sensing applications, making it suitable for robotics, 3D mapping, and augmented reality projects. Its 0.43MP resolution aids in capturing precise depth information, essential for motion detection and object recognition. For instance, in robotics, it enables machines to navigate their environment accurately, avoiding obstacles and allowing for more complex interactions. -
question:
Is the Arducam ToF Camera compatible with other platforms?
répondre: While the Arducam ToF Camera is optimized for Raspberry Pi and Nvidia Jetson boards, it can potentially be integrated with other platforms, given appropriate libraries and drivers are available. This versatility allows developers to expand their projects across various hardware ecosystems, enhancing the camera's practical application in diverse technological setups, such as drones or IoT devices. -
question:
How does the rolling shutter technology in the Arducam ToF Camera work?
répondre: The rolling shutter technology captures images row by row, enabling quicker response times, which is beneficial for moving subjects or dynamic scenes. This method helps in reducing motion blur compared to Madagascar shutter systems, particularly useful in robotics. For example, when filming a fast-moving object, this feature enhances clarity and detail, making it easier to analyze and process data. -
question:
What are the ideal use cases for the Arducam ToF Camera?
répondre: The Arducam ToF Camera is ideal for applications such as robotic vision, smart homes, and interactive gaming. In robotic applications, it assists in navigation and environment mapping. In smart homes, it can detect presence or gestures, enhancing user interaction. While in gaming, it can be used to create immersive experiences by closely tracking user movements in real-time. -
question:
What kind of output can I expect from the Arducam ToF Camera?
répondre: The Arducam ToF Camera offers depth images alongside color data, facilitating enriched visual outputs. Users can expect 3D point clouds or depth maps that can be processed for various applications, such as object detection or spatial analysis. This multifaceted output proves invaluable in fields like augmented reality, where combining color images with depth information enhances user experiences. -
question:
Does the Arducam ToF Camera require any software?
répondre: Yes, integrating the Arducam ToF Camera typically involves specific software for capturing and processing images. Libraries like OpenCV or specialized SDKs provided by Arducam facilitate easy interfacing with Raspberry Pi and Jetson boards. This software framework helps users manipulate captured data, making it suitable for numerous applications, from computer vision to machine learning projects. -
question:
Can I use the Arducam ToF Camera for outdoor applications?
répondre: While the Arducam ToF Camera is optimized for indoor use, it can be utilized outdoors under controlled lighting conditions. Outdoor use may present challenges like interference from bright sunlight or rapid movement, but with careful environmental considerations, it can be integrated into outdoor robotics or surveillance systems effectively. Using filters or adjustments in project settings aids in coping with varying light conditions. -
question:
What is the significance of depth sensing technology in this camera?
répondre: Depth sensing technology is crucial as it enables devices to perceive and understand the spatial relationships of objects in their environment. The Arducam ToF Camera leverages this technology to facilitate applications like gesture recognition in gaming or navigation in robotics. Such advancements allow for enhanced interactivity and functionality in smart systems, significantly bridging the gap between virtual and real-world interactions. -
question:
Where can I buy Arducam ToF Camera in Madagascar?
répondre: You can purchase the Arducam ToF Camera from Ubuy in Madagascar. Ubuy offers a wide selection of electronic components and modules, including this specific camera, making it a convenient option for enthusiasts and developers looking to enhance their projects with advanced depth sensing technology. -
question:
What accessories come with the Arducam ToF Camera?
répondre: The Arducam ToF Camera typically comes with a protective case and essential mounting hardware, allowing for easy installation and integration with various platforms. Depending on the package, additional accessories may include cables and connection interfaces that streamline setup with Raspberry Pi and Jetson boards. These bundled items simplify the overall usage experience and enhance project versatility.
Arducam Single Board Computers B0410C Editorial Review
The Arducam ToF Camera is a depth sensing solution that is compatible with Raspberry Pi and Nvidia Jetson NanoNX. This camera module offers a 0.43MP color rolling shutter camera with a case for added protection. Upon reading customer reviews, it seems that there are some mixed experiences with this product. One customer reported that the power connector came off while trying to plug it in, even with minimal force applied. This indicates a potential issue with the build quality and durability of the camera. Additionally, there were complaints about the compatibility of the camera module with programming languages. While the C code works fine, the Python code seems to have issues and does not work properly. This could be problematic for users who prefer to work with Python for their projects. On a positive note, one customer mentioned that this product is one of the best options for low-cost ToF cameras. They had a positive experience using it with a Raspberry Pi 3, indicating that it is compatible with the intended devices. In conclusion, the Arducam ToF Camera offers a depth sensing solution for Raspberry Pi and Nvidia Jetson NanoNX. However, there are some concerns about the build quality and compatibility with Python code. It may be a suitable option for those on a budget, but users should be cautious of the potential issues highlighted by customers.
Avis et évaluations clients
19 évaluations des clients
-
5 étoile
65%
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4 étoile
10%
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3 étoile
10%
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2 étoile
0%
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1 étoile
15%
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Avantages
- Affordable option for ToF cameras
- Compatible with Raspberry Pi 3
Platform Trust & Buyer Confidence
MT
Mohd
Verified buyer
“The product received very good packaging & safe…Thank You”
16 June 2026 · via Trustpilot
SJ
Shawati
Verified buyer
“Accurate delivery timing given”
16 June 2026 · via Trustpilot
YB
Youcef
Verified buyer
“Not madly expensive like I thought, and much quicker than promised.”
15 June 2026 · via Trustpilot
LM
Leila
Verified buyer
“Never dealt with Ubuy before, but everything worked out great. Seamless cross border purchasing and shipping. Thanks!”
6/7/2026 · via Trustpilot
KA
Kwame
Verified buyer
“The process was smooth, with clear communication and timelines. This was my 1st purchase and I am really impressed. I will definitely be coming back.”
12 June 2026 · via Trustpilot
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MGA 331604
Commandez maintenant et recevez votre commande aux alentours du Mardi, Juillet 21
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Caractéristiques et avantages
- Large working range: 2m/4m optional, and 10m broader coverage with cable extension kit.
- Outdoor usable camera with no interference from ambient light.
- Works with any MV library using 3 languages: C, C++, or Python.
- An affordable 3D imaging solution with primed point clouds.
- Compatible with Raspberry Pi and Nvidia Jetson Nano/NX.
- 0.43MP Color Rolling Shutter Camera Module with case included.
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