Lead time: 2 weeks

Trusted by 40+ governments

Consistently 90%+ accurate

Automated change detection of maps and base registers

In a rapidly changing world the dependencies on geospatial base registers require structural change detection, mapping and processing.

In a rapidly changing world the dependencies on geospatial base registers require structural change detection, mapping and processing. ChangeMapp quickly performs change detection on a large scale while safeguarding the quality and standard of human judgement. ChangeMapp executes automated map/image comparisons and analysis by applying in-house developped artificial intelligence. 

“The service of Geronimo.AI to deliver high quality change detection within two weeks is unparalleled.”

Jeroen van Logtenstein – Quality controller of base register BGT at municipal corporation De Connectie

“Geronimo.AI is a reliable partner and develops valuable innovations towards maintaining maps and base registers.”

Ron Binneveld – Adviser GEO/GIS at municipality Vijfheerenlanden

Example of ChangeMapp results. In the left image the orthophoto is combined with a map of buildings (blue outlined). In the right image the detected changes are outlined in red. This example demonstrates ChangeMapp’s understanding of relevant (constructions) and irrelevant changes (solarscreens).

Faster to better maps

The automated functionalities of ChangeMapp have a lead time of two weeks, regardless of scale, and deliver high quality results while maintaining a competitive price. The accuracies of ChangeMapp are consistently over 90% regarding recall (findability) and precision (correctness). Therefor, over 40 governments trust ChangeMapp to help them towards better maps and base registers. 

We happily get you in touch with the right reference.  

Example of ChangeMapp results paved and unpaved objects. In the left image the orthophoto is combined with a map of the public space (orange = paved, green = unpaved, water = blue). In the right image the detected changes are outlined in red. This example demonstrates ChangeMapp’s possibilty to identify both partly and fully wrongly classified geometries.

Example of automated mapping results of ChangeMapp. In the left image an orthophoto, building register and a detected change can be seen. On the right image the detected change is mapped onto the base register using existing vertices and lines. 

In cooperation with:

Results

ChangeMapp results in baseline measurements, change detection layers and/or new mappings for a range of base registers. The results are delivered as geometrical files (such as Shapefiles), adminstrative files (such as Excel lists) and working projects (such as QGIS projects). The current scope of measureable objects is:

  • Base measurements and/or change detection and/or mapping of building base registers. 
  • Base measurements and/or change detection of infrastructure, vegetation and waterways. 
  • Base measurements and/or change detection of dormers.
  • Base measurements and/or change detection of solar panels. 
The results are enriched with multiple object dependent attributes. We happily demonstrate this in a product demonstration. 

Example of ChangeMapp results of a larger scale. In the left image the orthophoto is combined with a map of buildings (blue outlined). In the right image the detected changes are outlined in red. On any scale ChangeMapp quickly detects all relevant changes.

Example of ChangeMapp results. In the left image an orthophoto can be seen. On the right image all dormers are detected and mapped by ChangeMapp (yellow outlined). After combining the dormers with a building base registers, the relevant changes for the tax registration are identified. 

Process

Convenient exchange of data

ChangeMapp requires data such as orthophotos and point clouds. Exchange of this data and the

Exchange of this data and the delivery of the results is handled via our online platform.

Pricing

ChangeMapp is offered via transparant pricing.

We prefer to combine the presentation of the pricing with a demonstration of the product. This allows for the best understanding of results and associated costs.

 

Innovating together

It is our mission to enable faster and better mapping of base registers. Therefor, our work does not end after delivering the results of ChangeMapp.

We gladly help in shaping the processing of the results to reach the end goal of faster and better mapping. This allows for a continious feedback loop which guides our new developments and improvements. 

Example of ChangeMapp results. In the left image the orthophoto is combined with a map of buildings (blue outlined). In the right image the detected changes are outlined in red. Both the new building/barn on the left as the demolished building on the right are detected as change.

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