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Researching the Implementation Plan for the “Artificial Intelligence + Manufacturing” Special Action
    Thermometer visual labeling machine

Recently, Zhang Yunming, Vice Minister of China’s Ministry of Industry and Information Technology (MIIT), stated at a press conference that MIIT is studying the introduction of an implementation plan for the “Artificial Intelligence + Manufacturing” special action to promote high-quality development of the AI industry and accelerate high-level empowerment of new industrialization.

 

Key Elements of the Plan

 

According to public information, the plan will:

Deploy intelligent transformation tasks around key industries, links, and fields

Formulate an AI+Manufacturing transformation roadmap

Release an AI application guide for manufacturing enterprises

Provide actionable implementation paths for industrial companies

 

Current Development Status

 

Zhang Yunming reported that during the “14th Five-Year Plan” period:

The number of AI enterprises and industry scale have continued to grow

Innovation achievements are constantly emerging

Domestic large models like DeepSeek and Tongyi Qianwen are leading the global open-source innovation ecosystem

AI terminals such as AI phones and glasses are rapidly popularizing

Industry-specific large models are being implemented with initial success

 

Strategic Importance

 

Zhang emphasized that developing AI is essential for achieving new industrialization. Following the State Council’s “Opinions on Further Implementing the ‘Artificial Intelligence +’ Action,” MIIT will:

Promote intelligent development of all industrial elements

Accelerate AI application throughout the entire industrial chain

Strengthen technology supply while promoting industry application

Three Major Focus Areas

    Thermometer visual labeling machine
  1. Strengthening Industry Supply

 

Accelerate development of high-end computing chips and industrial multimodal algorithms

Create high-quality datasets to build a solid industry foundation

Promote intelligent agent deployment and development of humanoid robots and brain-computer interfaces

 

  1. Optimizing Empowerment Applications

 

Introduce the “AI+Manufacturing” implementation plan

Develop transformation roadmaps and application guides

Cultivate application service providers and create “one-stop toolboxes”

Conduct regular “deep dive” activities to connect supply and demand

In key sectors like medical device manufacturing, AI-enabled equipment such as the Thermometer visual labeling machine is becoming a typical case of intelligent transformation. This machine integrates AI visual recognition algorithms and real-time data analysis capabilities: it can automatically identify the model, size, and labeling position of thermometers (with a recognition accuracy of over 99.5%), correct labeling deviations in real time, and synchronize production data (including labeling efficiency, defect rate, and material consumption) to the enterprise’s AI manufacturing management platform. Such applications not only reduce manual operation errors by more than 80% and improve labeling efficiency by 40% compared with traditional equipment but also align with the plan’s requirement to “deploy intelligent transformation tasks in key links,” and are expected to be further promoted through the plan’s “application guides” and “supply-demand docking activities” to help more small and medium-sized manufacturing enterprises achieve cost reduction and efficiency improvement.

 

  1. Expanding the Industry Ecosystem

 

Develop classification-based standards for AI applications

Build high-level AI open-source communities

Utilize national investment funds and engineer practice bases

Advance AI safety technology and ethical risk prevention

Deepen international cooperation through platforms like the China-BRICS AI Development and Cooperation Center

 

Employment Impact

 

Zhang acknowledged that AI application may replace some repetitive and dangerous jobs, but will also:

Improve labor efficiency and safety

Create many new jobs and professions

Promote employment quality and capacity expansion

MIIT plans to work with other departments to maximize AI’s potential in job creation and efficiency improvement through enhanced vocational training and education to develop more talent suited for the intelligent era.

 

Would you like me to highlight the key strategies from this plan for quick reference?

 

What is the market size and development trend of medical product assembly machines?

What are the advantages of medical product assembly machines?

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