Dahua Technology Unveils AI-Driven ITS Solutions at Intertraffic 2026
Dahua Technology, a leading provider of AIoT solutions focusing on video technology, made a notable return to the Intertraffic Amsterdam 2026 trade show. The company showcased its latest innovations in intelligent transportation systems (ITS) designed to improve road safety, streamline traffic management, and promote sustainable urban mobility.
During the event, Mr. Wang Jun, the General Director of ITS Product Research and Development at Dahua Technology, delivered a keynote address titled "AI Supports Smarter, Safer, and More Sustainable Transportation." In his talk, Wang emphasized that AI and large models are transforming traffic management from passive monitoring to pro-active and predictive operations. This advancement is enabling cities to optimize road resources, enhance traffic safety, and improve travel efficiency for citizens.
Wang highlighted how Dahua utilizes advanced AIoT technologies and large AI models to tackle major urban traffic challenges, including congestion, accidents, regulatory enforcement, and traveler experiences. At the heart of Dahua's ITS offerings is the Xinghan Large-Scale AI Model 2.0, which integrates several components, including Series V (vision-focused), Series M (multimodal fusion), and Series L (language comprehension). This powerful AI system connects video feeds, traffic data, and regulatory information in real-time, driving a smart cycle of perception, analysis, decision-making, and management that enables automatic incident detection, optimized signal control, precise enforcement, and a reduction in false alarms, thereby increasing efficiency and safety in complex traffic environments.
In addition to introducing its extensive suite of ITS products, Dahua revealed the enhanced Video Radar Fusion Technology (VRF2.0), which combines radar and visual data to enhance accuracy and continuity in challenging conditions. This advancement overcomes issues such as occlusion and misidentification while significantly reducing setup time. Key products showcased included:
- - Bisight X Series Dual-Spectrum Radar-Video Fusion Camera: This device monitors driver behavior and road conditions, capturing high-quality evidence for enforcement with modular reliability in any weather.
- - Spotter Ultra: A comprehensive speed violation and traffic offense detection system operating 24/7, complete with an evidence chain, perfect for busy intersections.
- - iPatrol Smart Light Bar: Transforming compliance vehicles into mobile AI centers, this device integrates 360° monitoring and intelligent detection for dynamic road enforcement.
Beyond safety enforcement, Dahua also introduced solutions aimed at enhancing traffic efficiency and traveler experiences. These innovations include:
- - Smart Traffic Signal Management: Using AI-driven video and radar fusion to dynamically adjust signals, alleviating congestion and minimizing delays.
- - Intelligent Highway Systems: Integrating in-motion weight measurement, VMS alerts, and accident detection with AI to improve safety and flow on long-distance routes.
- - Smart Parking Solutions: Built on Dahua's ANPR cameras and a unified platform that streamlines parking operations and expands ecosystem service options.
Dahua further shared insights on global ITS deployment and urban sustainability, highlighting successful projects like the second AI traffic control system at Penang Bridge in Malaysia and the first smart signal network in San Francisco de Campeche, Mexico. These projects demonstrated measurable improvements in monitoring, regulatory enforcement, and traffic congestion alleviation.
The exhibition also highlighted Dahua's intelligent electric vehicle charging solutions, reiterating the company's commitment to promoting greener and more sustainable transport ecosystems. Through continuous innovations in AIoT technology and collaboration with global partners, Dahua remains dedicated to advancing ITS innovations and helping cities worldwide develop safer, more efficient, and sustainable mobility systems.
More information can be found on the official
Dahua website.