As large models transition from digital screens to the physical realm, how can they effectively cater to a wide array of industries? On July 17th, at the 2026 World Artificial Intelligence Conference, Hikvision officially presented the 'Hikvision Guanlan Large Model White Paper (2026 Edition),' providing an exhaustive look at the technology framework and implementation strategies of the Guanlan Large Model.

Hikvision Guanlan Large Model Technology Framework

Encompassing the Entire Spectrum from Fundamental Technologies to Industry-Specific Applications

At present, a central tenet of artificial intelligence is to empower the physical world. Despite significant advancements in natural language processing and computer vision by large models, a singular and limited modality falls short of fully capturing the essence of the real physical world. Similar to how humans perceive and comprehend the world through their five senses—sight, hearing, smell, taste, and touch—large models too require processing more comprehensive, real-time, and precise information to better map and understand the physical world, gain deeper insights, and generate greater value for humanity.

With this insight, Hikvision has developed the 'Multi-dimensional, Rapid, Precise, and Economical' Guanlan Large Model technology framework. It aims to harness robust IoT perception and cognitive capabilities to gain insights into the states and patterns of all entities, thereby facilitating a seamless connection between the physical and digital worlds and driving intelligent development across society, industries, and daily life.

The Hikvision Guanlan Large Model technology framework spans 'Basic Large Model - Vertical Large Model - Large Model Products - Industry Applications,' achieving seamless integration from fundamental technologies to industry-specific applications.

At the foundational large model level, it has constructed IoT perception large models, multimodal large models, and language large models, leveraging vast datasets for pre-training to establish a robust foundation of intelligent capabilities with universal applicability.

At the vertical large model level, building upon the foundational large models, it deeply integrates industry-specific knowledge and business expertise for particular domains, resulting in a series of vertical large models covering areas such as safety production, industrial manufacturing, chain inspection, parks, public safety, urban governance, traffic management, natural disaster monitoring, and infrastructure inspection. This enables optimized adaptation of the general capabilities of large models to industry-specific scenarios.

At the product level, it fully embraces large models, enhancing cloud-edge-device collaboration and software-hardware synergy. In the hardware domain, it has developed a large model hardware system encompassing key aspects such as comprehensive perception, storage and computing, interactive display, and intelligent control, enabling a complete chain from multimodal data acquisition and intelligent analysis to final decision-making and execution. In the software domain, by constructing a '1+3+X' large model software system, it deeply integrates large model capabilities with scenario-specific applications, driving software to reshape interaction modes and evolve from application tools to intelligent decision-making hubs.

At the industry application level, it continuously deepens the integration of large models with industry applications across over 90 vertical industries, including public security, transportation, emergency response, water conservancy, urban management, electricity, coal, steel, automotive, and 3C, facilitating efficient deployment and value realization of large models across diverse sectors.

Simultaneously, it continuously builds a full-stack AI engineering capability and a comprehensive lifecycle security governance system for large models, providing steadfast support for the entire technology framework.

'Multi-dimensional, Rapid, Precise, and Economical'

Facilitating Accelerated Deployment of Large Models Across Diverse Industries

In the deployment of large model applications, the Guanlan Large Model technology framework establishes systematic advantages of being 'Multi-dimensional, Rapid, Precise, and Economical.'

'Multi-dimensional' is manifested in comprehensive perception of the physical world and extensive coverage of industry needs. In terms of modalities, it has constructed a complete matrix of IoT perception capabilities, including visual large models, X-ray large models, millimeter-wave large models, and language large models. In terms of products, it has launched thousands of large model software and hardware products spanning the entire cloud-edge-device spectrum. In terms of scenarios, it has deeply cultivated over 90 vertical industries and more than 2,000 scenarios, amassing over 600 intelligent solutions.

'Rapid' is evident in the acceleration of the entire process from model development to deployment and service response. For swift development, it supports rapid registration with minimal samples and zero-sample startup. For prompt deployment, it boasts a complete deployment toolchain, with software and hardware integrated and ready for immediate use. For agile response, it has established a robust service system for efficient demand response.

'Precise' stems from the Collaborative Enhancement of signal quality, model accuracy, and software-hardware systems. At the AI signal processing level, it significantly enhances signal quality and recognition accuracy under complex conditions based on the characteristics of various sensors. By directly processing raw signals, it fully preserves the richness and integrity of original information and efficiently extracts key features. At the precise perception level, it markedly improves detection rates, accuracy rates, and generalization capabilities. For instance, it reduces false alarm rates in perimeter security by over 90%, achieves a 99.99% detection rate for industrial micropore defects, and attains over 97% detection rates for X-ray security screening in security check scenarios, showcasing exceptional capabilities in fine-grained recognition and precise positioning. At the software-hardware collaboration level, it leverages the synergistic advantages of integrated software and hardware.

'Economical' benefits from the amalgamation of a flexible deployment architecture, inference optimization, and comprehensive engineering guarantees. At the on-demand deployment level, its edge-cloud collaborative architecture and flexible application of large and small models effectively reduce algorithm deployment costs and bandwidth overhead. At the inference optimization level, it achieves efficient adaptation of computing power through inference optimization techniques, conserving computing power and energy costs. At the worry-free and reliable level, it is bolstered by a professional AI engineering team to ensure that customers can utilize large models without concerns and stably, continuously reaping business value.

Large Model Technology Delves Deep and Practical

Achieving Widespread Deployment and Application

The true value of technology is ultimately reflected in its practical applications. The White Paper showcases the application outcomes of the Guanlan Large Model technology in fields such as public security, transportation, emergency response, water conservancy, urban management, coal, steel, electricity, automotive, and 3C.

In the realm of intelligent manufacturing, Hikvision has scaled the deployment of the Guanlan Industrial Large Model in its own production bases, guiding personnel to adhere to SOP operation specifications and ensuring product assembly quality, effectively addressing complex process management challenges in flexible manufacturing scenarios. It has also been applied in diverse scenarios such as screw omission, thermal pad omission, fan reverse installation, handle omission, PE hole pad presence, and missing silk-screen logos. Verified across multiple production lines, the detection accuracy rate consistently exceeds 95%.

On Shanxi Expressway, by upgrading the visual large model, it enables real-time analysis and early warning of 12 types of traffic incidents, including road debris, pedestrians, and illegal parking. The system can analyze and warn over 600 incidents in real-time per day, with an average detection accuracy rate of 98%. Simultaneously, it automatically pushes abnormal incidents within 5 seconds, facilitating early warning and response. Following system application, the accident rate on this road section decreased by 46% year-on-year, and secondary accidents reduced by approximately 30%.

In forest fire prevention scenarios, intelligent perception devices were deployed in Zhangjiagang, Suzhou, integrating a multimodal intelligent analysis large model for forest fire prevention to establish a closed-loop management system for 'identification-analysis-alert-response,' reducing invalid alerts by 94% and manual analysis workload by 95.5%.

In the field of chemical safety production, at the Shandong Wanhua Penglai Park, it integrates over 3,000 key video monitoring points involving AI algorithms for liquid leakage, lubricant level height, lubricant window flow, smoke, flame detection, and meter recognition, enhancing inspection efficiency and process safety management levels, aiding in early anomaly detection and swift response to ensure production safety and quality.

Furthermore, the Hikvision Guanlan multimodal large model has been scaled and deployed in scenarios such as scenic spots, transportation, and public security. For example, at the Jiuzhaigou Scenic Area, it repurposes existing monitoring resources and is equipped with a large model host, supporting functions such as text-based image search, text-based early warning, and online model fine-tuning. Staff can swiftly retrieve video clues by simply inputting text descriptions of people or items, assisting visitors in locating lost persons or objects and improving scenic area service and response efficiency.

These practices demonstrate that the Hikvision Guanlan Large Model provides replicable and scalable development pathways for the intelligent transformation and upgrading of diverse industries in its widespread deployment and application. Looking ahead, Hikvision will remain committed to developing new technologies and exploring new applications, leveraging its comprehensive accumulation of technical capabilities, product solutions, industry practical experience, and engineering capabilities to assist diverse industries in accelerating intelligent deployment and jointly forging a brighter future.