Pointly Mobile Mapping Classifier Enhances City Inventories

June 19, 2024
|

3 min read

Introducing Pointly’s New Mobile Mapping Classifier for City Inventories

As cities continue to evolve, the need for advanced digital representations becomes increasingly important for urban planning and development. Taking this into account, Pointly has introduced a new Mobile Mapping Classifier designed to transform the detection and classification of city objects.

3D point cloud visualization of an urban street, highlighting vehicles, trees, and infrastructure using Pointly Mobile Mapping.
Automatic classification of urban objects in Mobile Mapping scans

This is Pointly

Phoenix Lidar Systems

Pointly is an intelligent, cloud-based software solution to classify and vectorize 3D point clouds. The innovative AI models enable scalable automatic classification and the platform also offers advanced tools for reviewing and corrections of classifications – making this process faster and more precise for you than ever before.
The new classifier for city inventories, as well as Pointly’s further Standard Classifiers and tools can be tested with the Free Account.

Elevating Cityscape Digitization

Pointly’s new Mobile Mapping Classifier is designed to handle the complexity of urban environments and provides an excellent solution for segmenting and classifying urban point cloud data.

Key Benefits:

  1. Automated Object Classification: Utilizing deep learning, Pointly’s classifier distinguishes between various urban surfaces and objects such as Signs, Poles, Street Lamps, Vehicles, Vegetation, Buildings and other, significantly enhancing digital twin projects.
  2. Scalable Parallel Processing: This feature reduces processing time from days to hours, enabling quicker turnaround times for projects.
  3. Seamless Integration: Pointly’s platform not only provides a full-service environment for using the classifier but also allows for easy integration into existing workflows via API, facilitating complete automation.
3D point cloud visualization showing urban objects, including trees, streetlights, and a traffic sign, processed with Pointly Mobile Mapping.
The results can be used to filter for objects and create city inventories 

Training Data & Requirements:

The new Mobile Mapping (MoMa) Classifier has been trained on several datasets from Germany and Austria and is optimized for high-resolution mobile mapping scans. Parts of the training data were derived from the city-wide open dataset provided by the City of Vienna. (Data source: City of Vienna – https://data.wien.gv.at)

Expanding Horizons with Pointly

In addition to the new Mobile Mapping City Inventory Classifier, Pointly offers classifiers for Airborne Laser Scanning (ALS) and Highway Scans. These tools are designed for efficient semantic segmentation across a variety of scenarios. For unique project needs, Pointly develops custom classifiers, leveraging transfer learning to tailor solutions to specific project goals. The new MoMa Classifier can also serve as a baseline model for further custom developments in digital twin projects.

Contact Information:

For more information about the Pointly platform or to discuss a classification project, contact Pointly at:

Email: info@pointly.ai
Website: www.pointly.ai

Get Lidar News in Your Inbox

Weekly updates on lidar tech, geospatial industry news, case studies, and product reviews.

About The Author

Gene Roe - founder of Lidar News

SAM geospatial services
SAM Managed geospatial services

Recent Point Cloud Processing Posts

Optimize Your Digital Workflow: Free Demo with Cintoo

Optimize Your Digital Workflow: Free Demo with Cintoo In this…

January 28, 2026

AI Hardware Revolutionizing Reality Capture Processes

AI is transforming reality capture almost as quickly as it…

December 11, 2025

Mining Stockpile Measurement Software: Stitch3D Wins $100K

Stitch3D has won $100K for its innovative mining stockpile measurement…

November 20, 2025

NUBIGON Point Cloud Visualization Transforms 3D Storytelling

Summary:NUBIGON’s point cloud visualization is redefining how reality capture data…

October 28, 2025

Rethinking Cloud Strategy for Spatial Data

Rethinking Cloud Strategy for Spatial Data For decades, the web…

September 25, 2025

LiDAR data processing and visualization made easy

LiDAR data processing and visualization made easy Emesent will present…

September 15, 2025

Popular Posts

Stitch3D cloud strategy

Get Lidar News in Your Inbox

Weekly updates on lidar tech, geospatial industry news, case studies, and product reviews.

New Compass Ranger asset extraction