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Light & Imaging Sensors

MS-A075V RGB-D TOF Camera Module

SKU: SEN0583

The MS-A075V RGB-D TOF Camera Module is a high-performance imaging solution featuring a Cortex A7 processor with NPU, 128MB RAM & ROM, supporting both depth and RGB imaging at 30fps resolutions. It operates at a detection range of 0.2 to 2 meters and interfaces via UART and USB2.0 (Type-C). The module supports ROS1/ROS2 and offers Python SDK with sample code, making it ideal for robotic and industrial applications. Its field of view is TOF 55°(H) x 72°(V) and TRGB 78°(H)×98°(V), ensuring comprehensive coverage. This compact module measures 36*36*13.5 mm, weighs about 124g, and operates between -20~+50℃. With its web browser display and virtual USB network for web services, the MS-A075V RGB-D TOF Camera Module is designed for efficient and precise imaging tasks.

Overview of RGB-D 3D ToF Sensor Camera

Downloadable Resources

  • Docs
  • Tech Specs

    • 1. Getting Started

    2. On-page preview

    This guide offers detailed instructions on setting up and using the RGB-D Sensor Camera, including hardware requirements, IP configuration, interactive preview options, and data saving techniques for optimal performance.

    3. Python-Custom development

    This article guides users on using Python SDK for custom development to display frames, compute point cloud data, and estimate object volume, enhancing practical measurement skills.

    4. ROS1-Point Cloud Publishing

    The article provides a comprehensive guide on publishing point cloud data using ROS1, detailing hardware and software setup, example code execution, and visualization steps in RVIZ and RQT. It includes preparation tips, necessary commands, and expected results, making it an essential resource for anyone looking to effectively utilize ROS1 for point cloud data management and visualization.

    5. ROS2-Point Cloud Publishing

    This article guides you through the process of publishing point cloud data using ROS2, detailing hardware and software preparations, command execution, and visualization in RVIZ2.

    Reference

    This article provides a comprehensive guide on installing the RNDIS driver for Windows and accessing MaixSense SDK libraries, including Python SDK and ROS packages. It elaborates on API functionalities and widget controls for effective data management and development, offering insights into RGB mapping, pseudo-color options, and various filtering techniques.

    Specification

    Specification
    Processor Cortex [email protected] with 0.4T NPU
    Storage 128MB RAM &128MB ROM
    Camera Supply Voltage 5V/0.5A
    Detection distance 0.2~2m
    Resolution Depth: 320 x 240@30fps ；RGB: 800×600@30fps
    Interface UART(1.25mm) ；USB2.0(Type-C)
    Display Web browser: Depth/IR/RGB/Point cloud
    Data channel USB Virtual network: Web service
    ROS Support ROS1/ROS2
    FOV TOF 55°(H) x 72°(V)；TRGB 78°(H)×98°(V)
    SDK Python SDK and Sample code
    Operating Temperature -20~+50℃
    Dimension 363613.5 mm
    Weight About 124g

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