The French government uses artificial intelligence to identify illegal swimming pools

By using artificial intelligence algorithms to identify illegal pools, the French government has managed to collect about 10 million euros more in taxes. In France, housing tax is calculated based on the rental value of a property, so homeowners who don't declare a swimming pool pay hundreds of euros less in tax.

BingMag.com The French government uses artificial intelligence to identify illegal swimming pools

By using artificial intelligence algorithms to identify illegal pools, the French government has managed to collect about 10 million euros more in taxes. In France, housing tax is calculated based on the rental value of a property, so homeowners who don't declare a swimming pool pay hundreds of euros less in tax.

This project started a few months ago and for this Aerial photographs recorded by the French National Institute of Geographical and Forestry Information are used. After identifying the pools, the information obtained is compared with the data related to the tax and real estate department to identify illegal pools. is placed But even in these cities, thanks to artificial intelligence, 20,356 illegal swimming pools have been discovered. According to the estimates, it is said that by 2020 there will be about 3.2 million private swimming pools in the homes of French people, although after the Corona epidemic, employees staying at home and other conditions, the popularity of using these types of swimming pools has increased significantly. It has been found.

The use of private swimming pools is considered one of the controversial issues in France as the country is struggling with drought and some rivers have dried up to a great extent. Now the French tax authorities want to expand the use of artificial intelligence to identify pools, and it is said that this will lead to an increase of 40 million euros in taxes.

Early reports about the project indicate that the machine learning software It has an unusual error rate of over 30% and has mistaken other architectural featuressuch as solar panelsfor pools. But now a large part of these problems have been solved and as a result the accuracy of these algorithms has improved.

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