Hikvision Makes Its Grand Debut at the World Artificial Intelligence Conference, Unveiling the All-Encompassing Guanlan Large Model Technology System

07/13 2026 540

The World Artificial Intelligence Conference (WAIC 2026) is scheduled to be held in Shanghai from July 17th to 20th. Hikvision will make its much-anticipated debut at this conference, presenting a comprehensive showcase of its Hikvision Guanlan Large Model technology system. It is reported that the Hikvision exhibition area will mainly highlight how large model technology is seamlessly integrated into a variety of hardware and software products, enabling swift application. These large models bring about significant quality enhancements, cost reductions, efficiency improvements, and heightened safety across a broad spectrum of scenarios, including industries, urban governance, and intelligent transportation. They serve as true catalysts for intelligent upgrades in diverse sectors.

Highlight 1: The Debut of the Guanlan Large Model Technology System, Designed to Cater to All Industries

Artificial intelligence technology has consistently been a cornerstone of Hikvision's technological prowess, with an intelligent algorithm team established as far back as 2006. Amid the flourishing development of large model technology, Hikvision has accelerated its advancements in model capabilities, productization, deployment, and other areas. It is not merely focused on refining foundational large models but also emphasizes building comprehensive AI capabilities that support cost-effective and large-scale implementation of these models.

Built upon the Hikvision Guanlan Large Model, Hikvision has developed an industry-oriented large model technology system that encompasses "foundational large models - vertical large models - large model products - industry applications." This system aims to foster better connectivity between the physical and digital realms through robust IoT perception and cognitive capabilities, gaining insights into the status and patterns of all entities, and driving intelligent development in society, industries, and daily life.

In the realm of large model applications, the Guanlan Large Model technology system offers systematic advantages characterized by "diversity, speed, accuracy, and cost-effectiveness." At the Hikvision exhibition area, visitors can gain a comprehensive understanding of the Guanlan Large Model technology system and witness firsthand how AI aids in comprehending the physical world and permeates various industries.

Highlight 2: Showcasing a Range of Large Model Hardware and Software Products, Launching Multiple Innovative Large Model Offerings

In recent years, by deeply integrating large model technology into its products, Hikvision has released over a thousand large model hardware and software products, achieving comprehensive coverage across cloud, edge, and endpoint devices. At the Hikvision exhibition area, a series of large model hardware and software products will be on display, and several new large model products will be unveiled, including multimodal intelligent cameras, active visual operation supervision PTZ cameras, AI multimodal safety production hosts, and SOP training and inference all-in-one machines.

Multimodal Intelligent Camera: By incorporating text-image multimodal large models and visual large models into cameras, they can not only understand scenes but also automatically execute tasks through simple voice commands. This ushers cameras into a new era of "understanding, conversing, and working," transitioning from passive recording to active analysis and execution.

Active Visual Operation Supervision PTZ Camera: With the integration of visual large model capabilities, cameras are no longer just passive recorders but can truly "comprehend the scene." They can actively patrol, identify safety hazards, and serve as "digital safety officers" in enterprise safety production supervision.

Guanlan Encoding Camera and Guanlan Encoding Disk Array: By integrating the Guanlan Large Model with pixel-level segmentation technology, these devices provide high bit rate assurance for high-value key targets (such as people, vehicles, and non-motorized vehicles) while efficiently compressing non-critical areas, achieving differentiated encoding and saving over 50% in bit rate. This effectively conserves storage space, reduces power consumption, and resolves the "storage dilemma" caused by high-definition surveillance.

Intelligent Agents Operable with a Single Command: The ChatBI-Data Analysis Intelligent Agent enables "data analysis and research with just a few keystrokes." For instance, entering "Help me analyze the energy consumption of each community and generate a visual dashboard" allows users to view the analysis results. Yunmu CLAW serves as a "digital employee" for chain management, automatically completing store inspections and reviews with a single command. The Emergency Command Intelligent Agent can perform tasks such as retrieving videos, creating meetings, identifying hazards, checking resources, issuing instructions, and making phone calls with a single command, simplifying emergency command, enhancing agility, and aligning it more closely with real-world operations.

Highlight 3: Showcasing a Series of Vertical Large Model Applications, Witnessing AI Truly Penetrate Industry Scenarios

Industry scenarios are marked by high task specialization and precision requirements, making it challenging for general-purpose large models to directly meet the intelligent needs of each niche area. Based on foundational large models, Hikvision deeply infuses industry knowledge and business expertise into specific domains, forming a series of vertical large models covering areas such as safety production, industrial manufacturing, chain inspections, general parks, public safety, urban governance, traffic management, natural disaster monitoring, and infrastructure inspections. This optimizes and tailors the general capabilities of large models to industry scenarios.

At the Hikvision exhibition area, visitors can intuitively experience the practical value of vertical large models: the Safety Production Large Model assists in special operation control, intelligent monitoring of leaks and spills, and intelligent monitoring of belt conveyors; the Industrial Large Model aids in SOP detection of production line operations, industrial quality inspection, and industrial temperature measurement; the Urban Governance Large Model covers urban flood monitoring, third-party construction damage monitoring, and emergency command and dispatch, making urban operations safer and more orderly; the Traffic Management Large Model accurately detects traffic incidents and intelligently regulates traffic signals, making travel smoother and management more efficient.

Highlight 4: Interactive Experiences, Boundless Excitement

The exhibition area features multiple interactive experience zones, allowing visitors to personally experience the intelligent transformations brought about by large models across various industries:

Universal Search with Text: With just a single word or sentence, users can perform second-level retrieval of billion-scale data. For example, entering "black backpack" or "red top" enables the system to accurately retrieve and locate the corresponding content, making it easy to find target images without frame-by-frame searching.

AI Sports Coach Machine: The "digital coach" captures human posture in real-time, precisely analyzes movement normativity (standardization), and provides voice guidance, making sports both enjoyable and scientific. This reduces the burden of manual evaluation on teachers while effectively improving teaching efficiency and quality.

Gas 'Revealing Mirror': Through TDLAS technology and gas cloud imaging technology, visitors can "see" invisible harmful gas leaks and experience firsthand how AI safeguards industrial safety...

Hikvision Booth Number: H2-E111 at the Shanghai World Expo Exhibition and Convention Center. We eagerly anticipate meeting you in Shanghai for an intelligent rendezvous.


Solemnly declare: the copyright of this article belongs to the original author. The reprinted article is only for the purpose of spreading more information. If the author's information is marked incorrectly, please contact us immediately to modify or delete it. Thank you.