Dahua showcases AIoT smart city systems at SCEWC 2026

AIoT applications for urban operations

Dahua showcased its latest smart city solutions at SCEWC 2026, which took place in Barcelona from 3 to 5 November. The presentation was built around the theme of working together toward an AI-powered urban future.

For Urban Safety, Dahua connected cameras and other IoT devices with AI-based analytics to identify risks and coordinate emergency responses. One application combines intelligent recognition, text and image search, and route tracking with linked public-address and security workflows. According to Dahua, the combination is intended to support searches for missing people.

The company's City Governance technologies use AI analysis and multimodal information processing to detect issues including illegal street trading, waste left in public areas, missing manhole covers, flooded roads, blocked fire lanes, smoke and fires. Natural-language search and automatic alerts are designed to help staff identify problems and coordinate responses.

Traffic and public transport systems

Dahua's Smart Traffic portfolio covers traffic monitoring, traffic-signal optimisation, enforcement of traffic rules and incident detection. In Campeche, Mexico, the company said it optimised 34 intersections and introduced seven green waves. The project recorded 23 improvements, a 20% increase in traffic volume and a 15% reduction in waiting time, according to Dahua.

The company also presented Smart Mobility systems for public transport. Vehicle monitoring, safety alerts and integrated information are intended to support safer and more efficient operations. In bus services, driver monitoring can identify risky behaviour, while live video, GPS tracking and passenger counting support safety supervision, fleet management and fare checking.

These examples show how Dahua is positioning AIoT as a combination of video, sensors, analytics and operational workflows. Rather than limiting monitoring to recorded footage, the systems are presented as tools for identifying incidents and helping city employees organise a response.

Environmental monitoring and responsible AI

Dahua also presented its Eco-Environment solutions for natural-resource protection and environmental management. Elevated thermal cameras provide 360-degree monitoring and can detect potential fire sources at distances of up to 10 kilometres. The company said the cameras can work with ground monitoring and drones to support fire detection and emergency measures.

For water monitoring, a radar-based device combined with a PTZ camera measures water levels in real time and sends alerts when readings exceed preset thresholds. The system is aimed at giving operators an early indication of changing conditions.

John Li, Dahua's head of Global Government Business, took part in the panel “Agentic AI: Systems That Act”. He highlighted AI integrated into cameras and sensors, from AI-supported searches to AI agents that identify urban problems and track their resolution. Li also stressed the importance of privacy, transparency and accountability in ensuring that AI provides public benefit.

Max Huang, director of global government projects at Dahua, discussed how edge intelligence and high-quality structured data can provide a foundation for deploying large AI models in real-world smart city scenarios. Dahua said it will continue working with customers and partners to advance smart city solutions and support cities' ongoing digital transformation. For city authorities, the announcement points to a broad platform approach that links detection with alerts and response processes, while the company's own comments also acknowledge that governance and accountability remain part of deploying these systems.