Journal of Modern Technology and Engineering

This study presents a machine vision–assisted robotic system designed for precise liquid transfer and vibration-controlled handling in chemical manufacturing processes. The system automatically draws a defined volume of liquid from a source container and dispenses it into a secondary vessel through a controlled droplet mechanism. A real-time vision module continuously observes the color variation of the target solution, instantly stopping the liquid addition once a specific color threshold is detected. At the same time, the system displays the exact dispensed volume on an integrated digital monitor. The secondary container is equipped with an automatic stirring mechanism to ensure homogeneous mixing. A secondary robotic arm, operated via the monitor interface, performs pH measurement of the mixed solution to support chemical process accuracy. The robot’s vibration control unit operates in two modes: one for precise suction and dispensing, and the other for minimizing mechanical oscillations during operation. Additionally, an intuitive menu interface enables easy user control, data logging, and retrieval of historical records. Overall, the developed system effectively combines machine vision, robotics, and automated sensing to enhance safety, precision, and process reliability in laboratory and industrial chemical applications.