AI-enabled metering to dominate IoT smart city market

Video surveillance is increasingly enabling new applications like urban tolling and emission zones to reduce air pollution, mainly in Europe, by using license plate recognition to identify older vehicles banned from entering these zones and more general safety applications like pedestrian detection and alerts.

“Metering and surveillance are increasingly augmented by Artificial Intelligence (AI) and deep learning technologies to enable use cases such as preventive maintenance and advanced machine vision safety and security applications,” said Dominique Bonte, Vice President End Markets at ABI Research. “AI is increasingly deployed for preventive maintenance (prognostics), water leak detection and other anomalies, demand-response solutions, traffic management, and vulnerable road user safety.”

While surveillance cameras with embedded AI computing capabilities from vendors like NVIDIA are already being deployed, low latency 5G connectivity will enable real-time local response management in the future by leveraging more powerful (edge) cloud-based AI capabilities.

More generally, both metering and surveillance IoT connectivity are increasingly being embedded in the wider strategies and concepts of resilience and circularity, respectively transcending the narrower focus around safety/security and sustainability. To that extent, their inclusion in urban modelling and digital twins will enable advanced monitoring, scenario testing, and optimisation of all urban operational systems through real-time digital replicas as well as advancing resilience and circular economy agendas.

These findings are from ABI Research’s Smart Cities market data report. The report is part of the company’s Smart Cities and Smart Spaces research service, which includes research, data, and analyst insights. Market Data spreadsheets are composed of deep data, market share analysis, and highly segmented, service-specific forecasts to provide detailed insight where opportunities lie.