Automatic Control System for Precise Intravenous Therapy using Computer Vision-Based on Deep Learning

We submitted the paper Automatic Control System for Precise Intravenous Therapy using Computer Vision-Based on Deep Learning and provide experimental data related to this.The purpose of this paper is to improve the accuracy of intravenous (IV) infusion using artificial intelligence and feedback loops to prevent errors in the process of administering IV Therapy, and we applied the system we developed to achieve the goal.Therefore, we applied the system sequentially while creating a prototype and provide the data obtained through experiments.We conducted three experiments: peristaltic pump, dropping count, and feedback system.All experiments were conducted in the same environment to ensure reproducibility.