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Smart Cities Need Meaningful Data

Video (17 seconds, no sound): vehicles at an intersection are detected and marked from an aerial flyover.

Smart cities rarely fail because of sensors – they fail at analysis and evaluation.

Cities generate large volumes of heterogeneous data. Without automation, their potential remains unused. AI-based segmentation creates transparency in urban spaces. Current AI models help detect traffic, people, and areas across domains. Decisions thus become data-driven and faster.

FusionSystems integrates AI into existing city infrastructures in a scalable way. We are happy to discuss concrete smart city use cases.

More on this topic: GeoAI & Spatial Intelligence · Industry: Public Sector

This post first appeared on LinkedIn. View the post on LinkedIn