Allpoint Perception Engine™


  • Free critical human resources to focus on higher value jobs
  • Reduce the risk of processing error
  • Conduct more projects within existing budgets
  • Increase the scope and complexity of 3D laser scanning projects to meet real world demands

The Allpoint Perception Engine™ is a hosted software processing system based on a complex set of algorithms developed for and honed by real engineering applications and customer requirements. At its core, it is designed to batch process entire directories of point cloud data files based on user-specified features, functions, and parameters.

The Perception Engine's role is to automate much of the 3D data processing workflow by relying on mathematical algorithms to automate repetitive tasks without sacrificing accuracy. It registers, extracts features and analyzes 3D data more efficiently and accurately as compared to existing manual methods. The Perception Engine™ does the heavy lifting.

The process for doing this occurs over three primary steps:

  1. Users capture and submit raw 3D data to Allpoint
  2. The Perception Engine™ segments and classifies the data preparing it for a wide array of applications including feature extraction, point cloud measurements, and structural comparison
  3. The system returns results in a variety of useful information products

The Engine's general capabilities include:

File format conversion Supports standard file formats such as LAS and terrestrial scanner file formats. Easily configured to work with proprietary file formats.
Segmentation With minimal user interaction, breaks arbitrary point cloud data into logical data groups creating a basis for a powerful set of point cloud uses and applications. (E.g., by rapidly colorizing segmented data groups the basis of a real time processing engine is created.)
Registration Without the use of survey targets, aligns arbitrary sets of data using natural features in the data set. Until now, there was no straightforward way to do this. Supports sonar, stereo imagery, laser, flash LiDAR, CAD, etc.
Structure and Surface Comparisons Temporally visualizes detailed differences for a targeted object allowing engineers to conduct time series analysis measuring change over time and the ability to proactively make decisions based on that data.
Data Fusion Fuses multiple data streams or data sources, including video, LAS, trajectory files, global coordinate transforms, and/or Google Earth .kml files to create a single information product.
Temporal Analysis Comprehensively analyzes small changes from scan to scan to measure the change of an asset over a period of time (e.g., of a shifting retaining wall).
Data Storage and Archival Stores and archives data for later retrieval, query or processing. Eliminates issues with storing and accessing Terabytes of scan files across detached hard drives and servers.
Quality Control A notification system prompts users of status and becomes the basis for an automated quality control system that highlights exceptions during processing.
Reporting Presents results in a variety of useful information products: tabular data interface, formatted reports (including MS Word, Adobe PDF), 3D Visualizations, Tagged LAS files, 2D Maps, Comma-delimited files (.csv), Google Earth files (.kml), etc.