The core of HaiDx lies in the “cloud virtual instrument” concept. Optical changes from reagent-sample reactions are captured by mobile or dedicated terminal cameras and securely transmitted via network to cloud servers. Servers utilize advanced machine learning models, big data comparison, and white-box AI algorithms to analyze physical signals and return corresponding physiological indicators in real time. This greatly reduces reliance on expensive hardware in traditional laboratories, creating an innovative architecture of “distributed sensors + centralized cloud computing.”