Dahua Technology's Announcement: Xinghan Big AI Models Debut, Shaping the Smart IoT Era Through Continuous Advancement
In a groundbreaking event held in Hangzhou, China, in September 2025, Dahua Technology officially released the Xinghan Large-scale AI Models, a next-generation AI system that promises to revolutionise the industry. Named after the Chinese word for "galaxy", Xinghan is poised to bridge the gap between cutting-edge research and real-world applications.
The Xinghan system integrates large-scale visual intelligence with multimodal and language capabilities, offering a comprehensive solution for various application scenarios. At the heart of this system are three core model series: L, V, and M.
The L-series model focuses on natural language understanding and interaction, while the V-Series is centred on advanced visual intelligence and video analytics, streamlining target categories like humans, motor vehicles, and non-motor vehicles. The M-Series, on the other hand, is a multimodal system, capable of processing and integrating multiple data types (text, images, audio, and video).
The M-Series, a significant part of the Xinghan Large-scale AI Models, unlocks a broader spectrum of application scenarios due to its multimodal capabilities. It can simultaneously process heterogeneous data types, improving its overall performance and enhancing information processing efficiency. This contributes to maintaining high accuracy while potentially reducing model complexity, although this is not explicitly stated for the M-Series.
Moreover, the M-Series delivers its capabilities through edge-cloud synergy, similar to the other Xinghan model series. This synergy enables more natural human-computer interaction, making Xinghan an exciting development in the field of AI.
Xinghan's full-stack capability matrix, powered by edge-cloud synergy, promises to deliver a transformative impact on various industries. As the AI landscape continues to evolve, Dahua Technology's Xinghan Large-scale AI Models are set to play a pivotal role in shaping the future of AI technology.
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