Handwritten documents can be read out and prefilled using machine learning algorithms. By further input, these documents can be edited again, which again benefits the accuracy of the algorithm.
Use Case
Automatic land register update
Authorities need up-to-date information on the use of their land to be able to plan public infrastructure.
1
Process
Updating land registers is a highly manual process. Ordnance surveys register any change by controlling the land register on-the-spot. Even if information on changes in the land register is available, the update of the land register occurs in different time intervals.
2
Algorithm
As high-resolution satellite data in high frequencies became available within the last years, it is possible to observe land register changes from space. Algorithms can distinguish relevant from non-relevantland register changes and classify changes automatically in near-real time.
3
Decision
Computer Vision can help to automate the process of land register updates by alerting geospatial analysts on relevant changes to the land register and classifying the land register change to keep the information system up to date.
More Use Cases
Electronic patient records can be evaluated using machine learning algorithms. This automatically provides doctors with suggestions for diagnoses and therapy options.