Megvii reconstructs physical space operations with "Intelligent Agents": Where does its confidence come from? Founded in 2011, Megvii has gone through multiple changes including listing shift and business innovation, and finally chosen a path that few people take. They are no longer satisfied with enabling AI to "see" the physical world, but to "transform" the physical world. According to Megvii's definition, physical space operation refers to continuously perceiving people, objects, sites, rules and processes in physical spaces, understanding their spatiotemporal relationships and operating states, identifying anomalies and opportunities, and promoting the closed loop of business decision-making and actions. Megvii has spent 15 years completing this leap from "being able to see" to "being able to act". From "Perception Algorithm" to "Space Operation Agent", An Evolved Dimension Upgrade In the eyes of the public, Megvii seems to be in constant transformation, but every step it takes follows clear rules. Especially when we trace back to 2011 and review Megvii's 15-year technology evolution context, we will find that its current positioning is never a random decision, but an inevitable result. Many people still remember the event of "paying for commemorative stamps with facial recognition" that took place in Hanover, Germany in 2015. That was only four years after its establishment, Megvii, as the behind-the-scenes algorithm supporter, made China's facial recognition technology debut on the global stage. Later, Megvii won the championship of global computer vision competitions, was approved as the national AI Open Innovation Platform for "Image Perception", initially completed the original accumulation of state perception capabilities for "people, events and objects", and first touched the threshold of physical space. After that, Megvii launched the world's first smart camera C1, built the AI productivity platform Brain++, and redefined the product logic of AIoT with the concept of "algorithm-defined hardware". It is not