We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for 3D point cloud processing software.
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3D point cloud processing software Product List

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Viewing the site in VR - InfiPoints

What cannot be understood just from drawings or a PC can definitely be understood with VR.

The Era of Utilizing Virtual Reality (VR) in Engineering ■ What is 'InfiPoints'? ○ Overwhelming performance leveraging 3D scanner data - Smoothly displays any point cloud data without data size limitations ○ High-precision noise removal, automatic piping modeling, and interference simulation features - Automatically removes noise such as people captured during scanning - Automatically recognizes piping shapes from point cloud data and converts them into CAD models - Easily simulates collisions between point clouds and CAD ○ Enables VR - Point Cloud VR - InfiPoints for Oculus Displays point cloud data on the head-mounted display "Oculus Rift" to experience virtual reality. → Realistic experiences promote new insights and accelerate the efficiency of construction processes → Multiple users can wear head-mounted displays and simultaneously immerse themselves in the same site data while communicating.

  • 3D measuring device
  • 3D point cloud processing software

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[DX in Railway Sites] 3D Point Cloud Processing Software 'Railway-Eye'

Achieve efficiency in operations by utilizing 3D data! Ideal for modeling, measuring, and simulating railway facilities!

Would you like to aim for efficiency in railway operations through the digitalization of design and inspection? Traditional on-site inspections face various challenges in pursuing operational efficiency. - A lot of manual labor - Work within the railway line - Variability due to human factors - Re-measurement due to changes in plans - Large measuring equipment These tasks and challenges can be addressed by utilizing 3D laser scanners and 'Railway-Eye.' Railway-Eye is a 3D measurement data processing software designed for the railway industry, equipped with dimension measurement and modeling functions tailored for this sector. By simultaneously utilizing on-site point cloud data and the created 3D models for measurement and design, significant operational efficiency can be expected. [Features] ■ Measurement of distance between signals and trackside devices ■ Simulation of the range of movement for overhead lines ■ Layout considerations reflecting on-site data ■ Interference checks considering architectural and platform clearances *For more details, please refer to the PDF document or feel free to contact us.

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  • 3D measuring device
  • 3D point cloud processing software

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Point cloud processing software 'ClassNK-PEERLESS' point cloud modeling

ClassNK-PEERLESS is a "point cloud processing software" specialized in "point cloud modeling."

ClassNK-PEERLESS creates 3D models from point clouds obtained by 3D laser scanners with the necessary accuracy in a short time. By utilizing a database that aggregates standardized parts and specialized rules and knowledge from various fields, modeling can be easily performed without specialized knowledge through simple operations. It supports the efficiency of modification and maintenance work for large structures such as shipbuilding, factories, and plants, as well as layout planning for equipment. 【Solving Point Cloud Data Issues】 - The data size is too large to share easily. - It cannot be utilized in the in-house CAD system. - Measuring on the point cloud is difficult. - It is challenging to check for interference in areas where point clouds cannot be obtained due to blind spots. - The visibility of point clouds is not good. In addition to creating models from point clouds, it also includes features that utilize point clouds and created models. Here are some of those features that assist with tasks such as renovation work and layout planning: - Dimension measurement function - Error evaluation function - Interference simulation - Free Viewer - Piping route exploration

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  • Modeler
  • 3D point cloud processing software

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