The day after INTERGEO 2019: Analysis, trends and facts for 2020

The day after INTERGEO 2019: Analysis, trends and facts for 2020

Intergeo 2019, "the event" for geospatial business

Dielmo 3D participated as exhibitor at Intergeo 2019, from 17th to 19th September in Stuttgart, Germany.

It was a great pleasure to get the latest update from our partners and clients, as well as to learn from the "best of" the geospatial community about interesting potential projects and goals to work together.

Our "colourful" stand was always full of interesting people looking for building partnership and developing new strategies and markets. THANK YOU!

Are you interested in knowing our feedback about this event?... keep reading or click here


Thanks for visiting Dielmo 3D at 

Hall 1 ,Booth: G1.035


INTERGEO2019_dielmo3D

did you miss the CHANCE of meeting us?

Were we too busy when you came? Did you lost our contact details /business card?... It is never too late


OUR FEEDBACK OF THE MARKET AS LIDAR EXPERTS

Everyday, our clients ask for automatic software to improve workflows and speed up the process of working daily with LiDAR data. After deep research and trials, we still have not found any software able to classify correctly any area with “standard” levels of complexity. This reality confirms the need of running Quality Control & analysis algorithms on LiDAR datasets to save time and to avoid errors.

DIELMO3D understood this situation many years ago and since then we have been developing and running custom algorithms to each project and client we work with. These algorithms and custom developments are essential to work on any LiDAR projet if we want to reach the efficiency and quality required; as well as to “save” time and recover partially the investment on “semi-manual” LiDAR classification.

Utility mapping projects (maintenance, 3D modelling, simulations, risks) are a real case of success in algorithms implementation for automatic and semi-automatic analysis, products generation and Quality Control (QA/QC). Vegetation management, clearance distances or tree fall risk analysis are an example where errors are not allowed or may cause an overcost in projects. Automating and optimizing the results and its quality control allows to offer quality and accuracy close to100% at very competitive costs.



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