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In Amsterdam, we fight against poverty. We try to help people at risk of poverty as early as possible to prevent them from getting into serious debt or being evicted.

Directorate V&OR commissioned the Computer Vision Team of the City of Amsterdam to explore how object recognition can help prevent vulnerable bridges and quay walls from collapsing as heavy objects are placed on them.

To make the city safer, the municipality, together with its social partners, coordinates various approaches at the intersection of safety, care and the social domain from the Action Centre for Safety and Care (AcVZ).

Incoming information is linked to the appropriate file and/or registration in the case system. The registration is put in order so that the digital file is ready for the further process and possible disclosure.

The algorithm is used to perform automated risk assessment for all Energy Cost Contribution applications, prior to automated or manual granting and payment of the advance.

This algorithm falls under Digital moat. In 2020, the City of Amsterdam started developing reporting to detect illegal passenger shipping.

This algorithm falls under Digital canal. A speed limit applies on Amsterdam's inland waterways to prevent unsafe situations and nuisance.

This algorithm falls under Digital moat.

This algorithm falls under Digital moat.

Direction Ruimte en Duurzaamheid uses the IOVI applications for timekeeping and the Blaeu application for management and project reports.