Trion Model Software By FJD

US$816.00US$1,271.00 Excl. GST/VAT

Experience easy point cloud data manipulation and analysis with FJD Trion Model, featuring a user-friendly interface and advanced algorithms. The software provides an all-in-one solution with integrated modules for forestry, drawing, and robot mapping, streamlining the data import and analysis process. Choose FJD Trion Model for versatile, efficient, and high-level integration point cloud processing.

US$816.00 Excl. GST/VAT
US$1,271.00 Excl. GST/VAT
US$1,271.00 Excl. GST/VAT

Trion Model Software Introduction

FJD Trion Model is point cloud processing software developed by FJ Dynamics Co., Ltd. (FJDynamics), and can be used to visualize and process point cloud data obtained by a laser scanner. Usually, such point cloud data includes a 3D point cloud and an optional 2D image set. Each point in the point cloud includes its 3D coordinates and other properties, such as intensity and surface normals. A point cloud can be visualized, rotated, translated, zoomed in, and zoomed out in a 3D view area.

The visualization effect can be enhanced in different ways, for example, by changing the point size, intensity, colors, and visual angles. To use FJD Trion Model correctly and efficiently, read this manual before use, so that you can learn its modules, functions, features, and basic operation procedures. All features in this manual are demonstrated in Windows 11. The operations in other operating systems are similar, and are not described again.

Data Source & Format Supported

  • Data captured by: Terrestrial SLAM LiDAR Scanning equipment, such as Trion S1 & P1
  • Data format supported: las, ply, pts, e57, etc.

Recommended System Requirements:

  • Processor: Intel® CoreTM i7-10700 CPU @ 2.90 GHz (or an AMD CPU with equal performance)
  • Memory: 32 GB
  • Graphics card: NVIDIA GeForce GTX 1650 Ti 4G
  • Hard disk drive: 64 GB
  • Screen resolution: 1680 × 1050 or above

Functions of Trion Model LiDAR Data Processing Software

Basic Module

Point cloud mapping

Supports offline recon