Design and Implementation of a Blood Sample Classification and Recognition System Based on Visual Analysis

This paper presents the design and implementation of an intelligent blood collection tube sorting machine. By integrating mechanical design, pneumatic technology, automated control, and visual recognition technology, this research follows the process of scheme design, calculation verification, software analysis, and prototype verification. Experimental data shows that the system classifies rapidly and recognizes accurately, significantly improving the efficiency and accuracy of sample processing while enabling immediate feedback and intelligent management of data, providing strong technical support for clinical diagnosis.