Question 1

What are HoloCode's main business areas?

Accepted Answer

HoloCode's main business areas include: 1. Smart Manufacturing: Industrial inspection, industrial training, equipment maintenance, remote collaboration; 2. Core Power Industry: AR smart control, safety simulation, AR smart substations, instrument recognition; 3. Education & Academia: AR practical training scenarios, AI major development, educational informatization; 4. Ideological and Political Education: Large models for ideological education, interactive exhibition halls, AR ideological training, government affairs assistants; 5. Cultural Tourism: AR theaters, AR navigation, AR museum tours, puzzle games.

Question 2

What are HoloCode's core technologies?

Accepted Answer

HoloCode possesses two core technology platforms: 1. AIBOX Industry Large Model: A large model platform focusing on industry-level applications, integrating domestic large model ecosystems like DeepSeek and Qwen, providing enterprise-level intelligence, multi-modal knowledge bases, and intelligent document capabilities; 2. TakinEngine Spatial Computing Application Platform: Targeting smart manufacturing, core power, education, and cultural tourism, it integrates high-precision spatial positioning, 3D scene reconstruction, intelligent interaction, and spatial algorithms, offering end-to-end solutions from digital twin modeling to XR industry application deployment.

Question 3

What are some of HoloCode's successful case studies?

Accepted Answer

HoloCode's representative case studies include: 1. CGN AR Smart Main Control Room: Utilizing large model voice technology for intelligent control and system fault diagnosis, enhancing digital management levels; 2. AR Ideological Navigator for Political Education: Combining AI large models with XR technology to create immersive interactive ideological education products; 3. Metaverse Defense AR Science Popularization Display: Enhancing science popularization experiences through AR technology, achieving visualization of scientific content and innovation in science education.

Question 4

Who are HoloCode's partners?

Accepted Answer

HoloCode collaborates deeply with several renowned universities, state-owned enterprises, and technology companies, including Zhejiang University, Tianjin University, Beijing Institute of Technology, BOE, NetEase, Rokid, XREAL, Immersal, Vuforia, etc.

Question 5

What is Industrial AR?

Accepted Answer

Industrial AR (Augmented Reality) is a technology that overlays virtual information onto real industrial scenes. It enhances production efficiency and safety through real-time data visualization, remote collaboration, and intelligent guidance. For example, in equipment maintenance, AR can project fault diagnosis data directly into an engineer's field of view, enabling a "what-you-see-is-what-you-get" intelligent operation mode. Industrial AR is also deeply integrated into digital twin systems, supporting process simulation and predictive maintenance, making it a key interactive node in smart manufacturing.

Question 6

What do Industrial AR solutions include?

Accepted Answer

Industrial AR solutions cover scenarios such as remote collaboration, visualized assembly, training, and data collection. For instance, AR headsets enable remote acceptance and maintenance, supporting multi-terminal data interoperability and reducing communication costs. AR platforms based on "spatial intelligence" bind inspection processes to equipment space, ensuring operational standardization and traceability. In 2025, AR will further integrate lightweight AI models for real-time fault library retrieval, improving first-time fix rates.

Question 7

What are the features of Industrial AR glasses?

Accepted Answer

Industrial AR glasses must meet adaptability requirements for extreme environments (e.g., IP67 protection, operation at -30°C) and high-performance interaction needs. For example, they feature modular designs supporting explosion-proof communication and toxic gas detection expansion modules, and achieve 1500nit brightness under strong light through free-form optical systems. In the energy industry, they are used for equipment disassembly training, reducing downtime by 50% through gesture recognition and holographic annotations.

Question 8

What are the functions of industrial inspection robots?

Accepted Answer

Smart inspection robots achieve unattended operation through multi-sensor fusion (e.g., thermal imaging, partial discharge detection) and 5G private networks. Robots in nuclear power plants can complete 1100 inspection points around the clock, with an efficiency three times that of manual inspection, and data is uploaded to cloud analysis platforms in real-time. In 2025, handheld terminals integrating positioning systems and 5G will support centimeter-level positioning and RFID data collection, suitable for mountainous and network-disconnected environments.

Question 9

What is Point Cloud MCP technology?

Accepted Answer

Point cloud technology combined with Model Context Protocol (MCP) enables high-precision spatial modeling and intelligent interaction. The MCP protocol connects AI models with external systems through standardized tool interfaces (e.g., JSON-RPC 2.0), supporting multi-modal data fusion. Point cloud recognition technology is used for AR spatial roaming inspections, binding task flows to equipment space and reducing human error.

Question 10

What are the features of an AR smart computing platform?

Accepted Answer

An AR smart computing platform, centered on "spatial intelligence," integrates AI large models and IoT data. Through lightweight AI model deployment, it enables real-time on-site data retrieval and multi-modal interaction, deeply integrating with existing systems in production lines to improve inspection efficiency by 40%. It builds a data closed-loop from terminal to cloud, supporting predictive maintenance models and reducing fault rates by 37%.

Question 11

What are the functions of a virtual control room large model?

Accepted Answer

End-to-end large models achieve full-link intelligent control by integrating equipment data and operational processes. For example, in "smart operation" scenarios, operators can retrieve historical equipment data and expert knowledge bases in real-time to avoid misoperations. LangChain, combined with the MCP protocol, builds local AI assistants that support multi-tool invocation and private deployment, ensuring data security.

We believe that spatial intelligence will reshape the future of industries

Spatial Intelligence, Driving Industrial Upgrades

Deep integration across multiple industry scenarios

End-to-end intelligent solution

Addressing Industry Challenges Driving Innovative Practices

Core Technologies and Solutions

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Industry Best Practices and Innovation

Every implemented project is a microcosm of industry transformation.

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Interactive Industrial Education Platform

Smart Industry Metaverse

Partnering with industry leaders to build an intelligent future.

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