In the food delivery industry, the hygiene and standardization of the kitchen have always been a focus for consumers. On March 11, 2026, MiTi announced a comprehensive upgrade to its independently developed "Star Eye" vertical domain multimodal large model and integrated software-hardware service system. This system not only enables "second-level blocking" of risks through AI technology but also marks a breakthrough transformation in catering supervision from "post-event accountability" to "pre-event warning."

1.96 billion inspections: AI has become an ever-tireless "digital supervisor"

As a standout achievement of MiTi's core local commerce - intelligent hardware team, the Star Eye system has demonstrated remarkable dominance since its launch in 2025.

As of now, this system has conducted a cumulative 1.96 billion deep inspections of the kitchen environments of food merchants on the MiTi platform. Through AI visual recognition technology, the system has successfully issued warnings for more than 2.4 million instances and promoted the rectification of over 50,000 food safety hazards. The upgraded "Star Eye" has overcome multiple technical challenges in the deployment of AI in complex kitchen environments through a new architecture, making risk management truly "preventive before it happens."

Second-Level Blocking: Making Non-Compliant Behavior Impossible to Hide

Traditional kitchen spot checks often suffer from delays, while the upgraded Star Eye Model now has multimodal perception capabilities. Whether it's chefs not wearing masks or not wearing work uniforms, or any other non-compliant behavior in the operation area, AI can capture these instantly and provide real-time feedback. This "software-hardware integrated" service system has established a digital food safety line for millions of food delivery merchants.

Future Plan: Achieve Full Coverage of Core Scenarios by 2026

MiTi stated that 2026 will be a key year for the large-scale deployment of the "Star Eye" system. The R&D team will continue to focus on complex issues in food safety, enhance the model's understanding capabilities, and improve the response speed of the service system, aiming to expand the coverage of the system to more core business scenarios.

With the deep integration of AI technology, the food delivery kitchen will no longer be a regulatory "blind spot." When AI assistants monitor every dish being prepared 24/7, consumers' dining table safety will receive a stronger technological guarantee.