JOT VISIONSPOT · POINT CLOUD PROCESSIN

VisionSpot: AI-powered topographic mapping from point-cloud.

ML-based feature extraction and automatic digitalisation for surveying.

HOW IT WORKS

Trained Models, Not Fixed Rules

Point clouds contain an enormous amount of information, but turning that raw data into structured topographic information can require significant manual work.

Instead of relying only on fixed rules, the AI is trained using examples of the features they need to recognize. Through this training process, the system learns the relevant geometric characteristics and parameters and can then apply that knowledge to new point-cloud data.

Whether the job is bulk attribute management, no-code scripting, or turning raw point clouds into GIS-ready features, the plugin suite is the same automation layer behind every project we ship.

01

Training examples

The model is shown labelled examples of each feature it needs to recognize.

02

Learned characteristics

Through training, the system learns the relevant geometric characteristics and parameters.

03

Applied to new data

That learned knowledge is applied to new point-cloud data as it comes in.

04

Structured output

Detected features are delivered as structured, ready-to-use topographic data.

THE SUITE

Three plugins, one automation layer for AutoCAD & Civil 3D

Each plugin targets a different bottleneck — survey automation, no-code scripting, and point cloud object detection.

trainable feature classes, expandable to your own library

6

Lightpoles

Vertical asset

Manholes

Utility access point

Storm drains

Drainage

Utility structures

Network infrastructure

Sign poles

Vertical asset

Other elements

Other supported topographic elements

SEE IT RUN

VisionSpot In Action

GET STARTED

See VisionSpot Detect Features in Your Own Point-Cloud Data

ML-based feature extraction and automatic digitalisation for surveying — built into your AutoCAD and Civil 3D workflow.