IoT sensors combined with AI (AIoT) enable smart cities to move beyond real-time monitoring into predictive analytics. This allows for proactive infrastructure maintenance, optimized energy use, and enhanced public safety.
Challenges
Limited to reactive monitoring without predictive capabilities.
High data volume with low actionable insight.
Infrastructure failures due to delayed maintenance.
Solutions
Non-video based people density, tracing and location relationship analysis and forcast
Predictive maintenance from repair records to usage
AI Edge computing for fall detection and smart control for lighting and fan (AHU)
Results
Reduced maintenance costs and improved safety.
Faster emergency response and optimized resource allocation.
Enhanced sustainability and livability in urban environments.
