Home
News
Tech Grid
Data & Analytics
Data Processing Data Management Analytics Data Infrastructure Data Integration & ETL Data Governance & Quality Business Intelligence DataOps Data Lakes & Warehouses Data Quality Data Engineering Big Data
Enterprise Tech
Digital Transformation Enterprise Solutions Collaboration & Communication Low-Code/No-Code Automation IT Compliance & Governance Innovation Enterprise AI Data Management HR
Cybersecurity
Risk & Compliance Data Security Identity & Access Management Application Security Threat Detection & Incident Response Threat Intelligence AI Cloud Security Network Security Endpoint Security Edge AI
AI
Ethical AI Agentic AI Enterprise AI AI Assistants Innovation Generative AI Computer Vision Deep Learning Machine Learning Robotics & Automation LLMs Document Intelligence Business Intelligence Low-Code/No-Code Edge AI Automation NLP AI Cloud
Cloud
Cloud AI Cloud Migration Cloud Security Cloud Native Hybrid & Multicloud Cloud Architecture Edge Computing
IT & Networking
IT Automation Network Monitoring & Management IT Support & Service Management IT Infrastructure & Ops IT Compliance & Governance Hardware & Devices Virtualization End-User Computing Storage & Backup
Human Resource Technology Agentic AI Robotics & Automation Innovation Enterprise AI AI Assistants Enterprise Solutions Generative AI Regulatory & Compliance Network Security Collaboration & Communication Business Intelligence Leadership Artificial Intelligence Cloud
Finance
Insurance Investment Banking Financial Services Security Payments & Wallets Decentralized Finance Blockchain Cryptocurrency
HR
Talent Acquisition Workforce Management AI HCM HR Cloud Learning & Development Payroll & Benefits HR Analytics HR Automation Employee Experience Employee Wellness Remote Work Cybersecurity
Marketing
AI Customer Engagement Advertising Email Marketing CRM Customer Experience Data Management Sales Content Management Marketing Automation Digital Marketing Supply Chain Management Communications Business Intelligence Digital Experience SEO/SEM Digital Transformation Marketing Cloud Content Marketing E-commerce
Consumer Tech
Smart Home Technology Home Appliances Consumer Health AI
Interviews
Anecdotes
Think Stack
Press Releases
Articles
  • Enterprise AI

Dahua Launches Xinghan AI Models for AIoT Innovation


Dahua Launches Xinghan AI Models for AIoT Innovation
  • by: Source Logo
  • |
  • September 19, 2025

Dahua Technology, a leading provider of video-centric AIoT solutions, has launched its Xinghan Large-scale AI Models, marking a significant advancement in industry-grade AI systems. This next-generation platform combines large-scale visual intelligence with multimodal and language capabilities, designed to tackle real-world complexities and drive intelligent transformation in sectors reliant on advanced IT and SaaS technologies.

Quick Intel

  • Dahua's Xinghan AI Models feature three core series: L for language understanding, V for visual analytics, and M for multimodal integration.
  • V-Series enhances perimeter protection by detecting small targets down to 20x20 pixels, reducing false alarms in AIoT surveillance.
  • WizTracking in V-Series improves tracking accuracy by 50% amid occlusions and posture changes for robust video analytics.
  • Crowd Map in V-Series boosts small-target detection 2x farther, with 80% accuracy in rain and support for up to 5,000 people.
  • M-Series WizSeek enables natural language video searches, streamlining investigations in enterprise security SaaS.
  • Text-Defined Alarms in M-Series allow flexible, natural language-based configurations for scalable AIoT applications.

Core Architecture of Xinghan AI Models

At the heart of Xinghan lies a visual analysis foundation, augmented by multimodal processing and industry-specific knowledge to deliver tailored AI for diverse scenarios. This edge-cloud synergy powers scalable intelligence, evolving from cutting-edge research to practical deployments in AIoT ecosystems. The upgraded structure includes L-Series for natural language interaction, V-Series for video-centric tasks, and M-Series for handling heterogeneous data like text, images, audio, and video. By embedding deep expertise, Xinghan bridges the gap between theoretical AI and commercial viability, enabling enterprises to deploy adaptive solutions in SaaS-driven environments without extensive overhauls.

Advancements in V-Series Visual Intelligence

The V-Series, focused on Xinghan Vision Models, prioritizes key targets such as humans, motor vehicles, and non-motor vehicles to simplify complexity while upholding precision in video analytics. Perimeter Protection extends detection to smaller objects, minimizing false positives and broadening camera ranges in security applications. WizTracking introduces superior algorithms for managing occlusions and posture variations, yielding a 50% accuracy boost essential for dynamic AIoT monitoring. Crowd Map excels in long-range small-target identification, incorporating umbrella compensation for 80% improved rainy-weather performance, alongside a 2.5x expanded analysis scope and capacity for dense, low-light crowds up to 5,000 individuals. Scene Adaptive AI WDR intelligently configures cameras via spatial and contextual analysis, while AI Rule Assist automates intrusion rule setup with one-click precision, streamlining IT-integrated surveillance workflows.

Multimodal Capabilities in M-Series

M-Series Xinghan Multimodal Models process and fuse diverse data types for enhanced efficiency and natural interactions, expanding AIoT applications beyond traditional boundaries. WizSeek transforms video investigations by allowing natural language queries to retrieve relevant footage from archives, accelerating response times in enterprise security operations. Text-Defined Alarms empower users to configure alerts via descriptive language, drastically lowering development barriers and supporting rapid, customizable setups for varied real-world needs. This integration fosters seamless human-AI collaboration, optimizing SaaS platforms for proactive decision-making across industries.

Xinghan's launch underscores Dahua's commitment to evolving AIoT technologies, providing scalable tools that enhance operational intelligence and sustainability. As organizations navigate increasing data complexity, these models equip businesses with the foundation for innovative, efficient transformations in visual and multimodal AI applications.

  • A Io TXinghan AIDahua TechnologyVisual IntelligenceMultimodal AI
News Disclaimer
  • Share