Hikvision, a global leader in intelligent video solutions, has officially launched its Guanlan Large-Scale AI Models—a new AI suite designed to push the boundaries of AIoT (Artificial Intelligence of Things) innovation. Built on deep industry training and guided by the philosophy of perceiving subtle patterns, Guanlan introduces a powerful approach to computer vision, natural language processing, and multimodal fusion. This launch marks a pivotal step in Hikvision’s transformation from traditional video security to scenario-based digitalization powered by AI.
The Philosophy Behind Guanlan
1. Inspired by Ancient Chinese Wisdom
- The term “Guanlan” is rooted in the concept of understanding hidden movements—much like observing the nature of water through its waves.
- It reflects a philosophy of perceiving subtle signals and translating them into actionable insight.
2. Human-Centric Intelligence
- Guanlan emphasizes the importance of pattern recognition and deep understanding, aiming to mimic intuitive human perception at scale.
- Derek Yang, VP of Hikvision International Business Center, emphasized that Guanlan enables “smarter, faster, and clearer” insights across applications.
Architecture of Guanlan AI Models
Three-Tier System Driving Scenario-Based Applications:
1. Foundation Models
- Core capabilities in large-scale vision, language, and multimodal AI
- Pre-trained on diverse and deep datasets to ensure high performance in general AI tasks
2. Industry Models (Intermediate Layer)
- Adapt AI capabilities to domain-specific challenges (e.g., smart cities, logistics, manufacturing)
- Serve as the bridge between foundational intelligence and operational usability
3. Task Models (Top Layer)
- Fine-tuned for specific scenario-based functions
- Enable plug-and-play intelligence tailored to real-world needs, accelerating deployment
Benefits:
- Enhanced multimodal perception (image, video, text, sensor data)
- Flexible deployment methods for on-premise, edge, or cloud systems
- AI agility that aligns with both public and private sector transformation goals
Product Innovations Powered by Guanlan
1. DeepinViewX Cameras
- Powered by large vision models
- Double the range of video content analysis (VCA)
- Reduce false perimeter alarms by over 90%
- Improve detection accuracy and eliminate redundant alerts
2. AcuSeek NVRs (Network Video Recorders)
- Powered by multimodal models that enable natural language video search
- Intuitive interface for users to query surveillance footage using descriptive text
- Accelerates incident review and reduces manual video search efforts
3. Upcoming Portfolio Enhancements
- HeatPro-Series Thermal Cameras
- Enhanced thermal monitoring capabilities with Guanlan’s AI-driven accuracy
- Intelligent Checkpoint Cameras
- Enable advanced scene analysis and real-time decision-making
- Built for security, traffic control, and industrial inspection use cases
Strategic Shift Toward AIoT and Scenario Digitalization
1. From Security to Scenario-Based Intelligence
- Hikvision is evolving from traditional video surveillance to AIoT ecosystem solutions
- Focus on solving complex challenges in logistics, infrastructure, manufacturing, and beyond
2. Accelerating Digital Transformation
- Large-scale AI models allow real-time insights and autonomous operations
- Guanlan is a catalyst for operational efficiency, safety, and strategic foresight
3. Competitive Edge in Multimodal AI
- Combining text, image, and sensor inputs improves context-aware computing
- Empowers organizations to extract greater value from their data
The launch of Guanlan Large-Scale AI Models represents a defining moment for Hikvision and the future of AIoT technologies. With a scalable architecture, deep perception capabilities, and a strong philosophical foundation, Guanlan stands as a beacon of next-generation AI designed to interpret, act, and evolve in real-time environments.
As organizations seek to modernize operations through smarter infrastructure and AI-driven decision-making, Hikvision’s Guanlan suite offers the flexibility, intelligence, and depth needed to power the digital ecosystems of tomorrow.
