Meituan Upgrades Xingyu AI Model for 24/7 Food Safety Monitoring

In the food delivery sector, kitchen hygiene and standards remain top priorities for customers. On March 11, 2026, MiTi unveiled a major upgrade to its independently developed "Star Eye" vertical domain multimodal large model and its integrated software-hardware service system. This system not only enables "second-level intervention" against risks via AI but also represents a fundamental shift in catering oversight from reactive policing to proactive prevention.
1.96 Billion Inspections: The AI-Powered "Digital Supervisor" That Never Sleeps
A flagship innovation from MiTi's core local commerce and intelligent hardware team, the Star Eye system has proven exceptionally effective since its 2025 launch.
To date, the system has performed a cumulative 1.96 billion in-depth scans of kitchen environments across MiTi's merchant platform. Leveraging AI visual recognition, it has successfully flagged over 2.4 million warnings and facilitated the correction of more than 50,000 food safety issues. The enhanced "Star Eye" tackles key technical hurdles in deploying AI within complex kitchen settings through a novel architecture, transforming risk management into a truly proactive process.
Second-Level Intervention: Leaving No Room for Non-Compliance
While traditional kitchen audits are often delayed, the upgraded Star Eye Model now features multimodal perception. Whether a chef is without a mask or proper uniform, or any other breach occurs in the operational area, the AI detects it instantly and provides real-time alerts. This "software-hardware integrated" system has created a digital food safety net for millions of delivery merchants.
Future Roadmap: Targeting Full Coverage in Core Scenarios by 2026
MiTi announced that 2026 will be a pivotal year for the "Star Eye" system's widespread rollout. The R&D team will continue to tackle complex food safety challenges, deepening the model's analytical capabilities and accelerating system response times to extend coverage to more core business scenarios.
With the deep integration of AI, the food delivery kitchen is ceasing to be a regulatory blind spot. As AI assistants monitor meal preparation around the clock, diners gain a stronger, technology-backed guarantee of safety for every meal.
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In the food delivery sector, kitchen hygiene and standards remain top priorities for customers. On March 11, 2026,
1.96 Billion Inspections: The AI-Powered "Digital Supervisor" That Never Sleeps
A flagship innovation from MiTi's core local commerce and intelligent hardware team, the
To date, the system has performed a cumulative 1.96 billion in-depth scans of kitchen environments across MiTi's merchant platform. Leveraging AI visual recognition, it has successfully flagged over 2.4 million warnings and facilitated the correction of more than 50,000 food safety issues. The enhanced "Star Eye" tackles key technical hurdles in deploying AI within complex kitchen settings through a novel architecture, transforming risk management into a truly proactive process.
Second-Level Intervention: Leaving No Room for Non-Compliance
While traditional kitchen audits are often delayed, the upgraded
Future Roadmap: Targeting Full Coverage in Core Scenarios by 2026
MiTi announced that 2026 will be a pivotal year for the "Star Eye" system's widespread rollout. The R&D team will continue to tackle complex food safety challenges, deepening the model's analytical capabilities and accelerating system response times to extend coverage to more core business scenarios.
With the deep integration of AI, the food delivery kitchen is ceasing to be a regulatory blind spot. As AI assistants monitor meal preparation around the clock, diners gain a stronger, technology-backed guarantee of safety for every meal.
DeepMind CEO Hassabis: I sleep six hours a day, usually feel energetic around 1 a.m.
Fortune recently featured an interview with Demis Hassabis, CEO of Google DeepMind, revealing his unconventional approach to rest and productivity. Hassabis disclosed that he sleeps very little, structuring his waking hours into two distinct work blo
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