Saudi Arabia is executing one of the most ambitious smart city programs in the world. NEOM, the Red Sea Project, Qiddiya, Diriyah Gate, and the transformation of existing cities under Vision 2030 are integrating AI surveillance and video analytics at the infrastructure planning stage rather than as retrofits. This represents a structural shift in how urban AI is deployed.
Core AI Video Capabilities in Saudi Smart City Programs
Smart city AI surveillance in Saudi programs integrates several video analytics capability layers: crowd density and flow monitoring, traffic and vehicle analytics, public safety monitoring using behavioral anomaly detection, and facility utilization analytics providing occupancy intelligence for public buildings and amenities.
NEOM: Native AI Infrastructure at City Scale
NEOM represents the most advanced implementation context for smart city AI in Saudi Arabia. THE LINE, OXAGON, and SINDALAH are being designed with AI operational intelligence as a foundational layer — integrated with transport management, energy management, public safety, and citizen services through unified operational command centers.
Riyadh Urban Intelligence: Retrofitting a Megacity
Unlike NEOM's greenfield design, Riyadh's smart city program operates within an existing urban fabric of over 7 million residents. AI video analytics is being integrated into existing CCTV infrastructure through software upgrades and edge computing additions. Priority applications include traffic management, public safety monitoring, and event crowd management.
See AI Video Analytics in Action
HOSN AI Technologies deploys Kashef across enterprise and government clients in Saudi Arabia and the GCC. Request a live demo tailored to your site.