Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.
ChangeMapp
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
General information
Theme
Begin date
Contact information
Responsible use
Goal and impact
The aim is to make it easier to detect mutations (changes) in outdoor space - especially buildings. Aerial photos are analysed and the application indicates by means of a colour area on the photo where mutations have taken place in relation to the map. This might include a shed that has been installed in the past year, for example. An employee always checks the results produced and whether the geometry needs to be adjusted in the Addresses and Buildings Register and the Large-Scale Topography Register.
Considerations
Using ChangeMapp provides a (major) efficiency gain in an already existing process. Where changes previously had to be identified manually, this can now be automated. This takes a lot less time and gives a more accurate picture of changes in outdoor space to properties.
Human intervention
The algorithms identify changes in outdoor space and visually represent this by marking changes with a colour. This is then checked by an employee before being processed in the basic records.
Risk management
The orthogonal aerial photos used have a certain resolution, making individuals unidentifiable in the photos. Outcomes of the algorithms are checked by a staff member before being processed.
Legal basis
The municipality has a legal duty to keep track of changes in geometry of properties in the BGT and BAG.
Links to legal bases
Elaboration on impact assessments
In consultation with the privacy officers, it was decided that a DPIA was not necessary. The aerial photographs are too blurred to recognise individuals on them. Nor was an IAMA carried out, as this is a low-impact, low-risk AI application.
Operations
Data
Building geometry as recorded in the BAG and BGT and aerial photos (2.5 cm ground pixel, Orthogonal. 5cm +/- precision)
Technical design
Depending on the municipality's requirements, the algorithm compares the current registration with one or more forms of imagery to identify differences. As far as possible, the differences are worked up into objects/modifications to be entered directly into the National Facility. Consider, for example, classification and mapping of the objects.
External provider
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