automated size detection

This project presents an integrated system for automated size detection and classification of objects, combining mobile input, software analysis, and hardware control. The process begins with visual data captured through a phone using the Drop cam program. This input is transferred to a Python script, which performs the core function of classifying objects according to their size. Once classification is complete, the results are sent to an Arduino board that controls a servo motor. The servo motor, equipped with a stick mechanism, physically sorts the objects into categories based on the detected size.