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Midea, Jingzhou washing-machine factory

China Manufacturing & industrial

Embodied AI takes on factory inspection and logistics tasks

Automation Task Substitution

Measured outcomes Evidence code E4Scaled use

What changed

What changed

Vision systems, robots and other embodied-AI systems perform inspection, handling, patrol and logistics tasks inside the factory.

Key results

Key results

AI quality-system image throughput — More than 200,000 images processed per day — After 200000 images per day

2026

Logistics efficiency — Increased by 30%

2026

Compute utilization — Increased by 40%

2026

How the organization responded

How the organization responded

Organizational response: Not yet evidenced

Why it matters

AIGW analysis

Frontline physical and inspection tasks are materially automated; no workforce-response evidence is directly reported. Provides scaled embodied-AI evidence with measurable factory-process effects.

Source

Source & evidence

How we verify evidence

Hubei Provincial Department of Economy and Information Technology

Midea Jingzhou washing-machine factory intelligent manufacturing

Government or public institution

Official provincial-government page, based on Hubei Daily reporting, describes embodied AI, vision inspection and logistics automation at Midea's Jingzhou factory with reported efficiency metrics.