Dahua Technology Unveils Innovative Xinghan Large-Scale AI Models
Dahua Technology, a global leader in artificial intelligence and IoT solutions focused on video-centric applications, has officially launched its new
Xinghan large-scale AI models as of September 21, 2025. This advanced system represents a significant leap forward in industrial-grade AI technology, seamlessly integrating large-scale visual intelligence with multimodal and linguistic capabilities. The introduction of Xinghan marks an essential step in Dahua's ongoing commitment to transforming various sectors through intelligent solutions.
Overview of the Xinghan Model
At the core of the Xinghan model lies a robust visual analysis engine, designed to cater to an extensive range of applications across industries. This comprehensive AI system harnesses deep industry knowledge and mellows it into a scalable solution tailored for real-world scenarios, delivering commercially viable outcomes. With this innovative approach, Dahua aims to tackle complex challenges prevalent in actual environments, providing users with a dependable tool for efficient operations.
Technological Underpinnings of Xinghan
Named after the Chinese term for "galaxy,"
Xinghan emphasizes the integration of cutting-edge research with practical applications. By leveraging a synergistic approach between edge and cloud computing, the model ensures scalable and adaptive intelligence across various sectors.
The enhanced architecture of Xinghan consists of three principal model series:
L, V, and M.
- - Series L focuses on natural language comprehension and interaction.
- - Series V specializes in advanced visual intelligence and video analysis, optimizing target categories to streamline operation and maintain high accuracy. Key features of the V series include:
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Perimeter Protection: Expands coverage by accurately identifying smaller targets (down to 20x20 pixels) compared to traditional CNN-based AI models, minimizing false positives and enhancing detection range for high-capacity cameras.
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WizTracking: Introduces a next-gen intelligent tracking algorithm capable of adeptly handling complex occlusions and variations in target posture, achieving a 50% improvement in precision.
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Crowd Mapping: Significantly enhances small target detection at long distances (up to double the range), incorporating umbrella compensation to maintain an 80% accuracy boost in rainy conditions. This feature supports detection of up to 5,000 individuals while delivering strong performance in dense crowds and low-light environments.
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Scene Adaptability - AI WDR: Utilizes situational awareness to analyze spatial and contextual scene features, enabling intelligent and automated camera configuration.
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AI Rule Assistant: Enables automatic rule delineation for perimeter intrusion protection, providing one-click access and high-precision scene recognition with automatic analytics.
- - Series M consists of advanced multimodal models that can simultaneously process and deeply integrate diverse types of data (e.g., text, images, audio, and video). This enhances information processing efficiency, allowing for more natural human-computer interaction and expanding applicability across various scenarios. Key capabilities of the M series include:
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WizSeek: Revolutionizes video search through natural language queries. Users can effortlessly describe their target (e.g., persons, vehicles, animals) to quickly access matching video recordings from archives.
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Text-Defined Alarms: Allows users to create alarms by simply describing them in natural language, significantly reducing the development barrier while enabling swift, flexible, and scalable configurations suitable for diverse real-world situations.
For additional information regarding Dahua's large-scale Xinghan AI models, please explore the associated resources provided.
Conclusion
The unveiling of the
Xinghan AI models solidifies Dahua Technology's position at the forefront of AIoT innovation. By combining state-of-the-art technology with meaningful application, Dahua continues to push the boundaries of intelligent solutions, empowering industries worldwide to embrace the future of AI-driven efficiencies. As this technology evolves, it will be fascinating to observe how it transforms operational dynamics across various sectors.