This study investigates the effect of image resolution and frames per second (FPS) on software interactivity in artificial vision applications. Artificial vision is crucial in a wide range of applications, from object detection to autonomous driving. However, software interactivity plays a crucial role in the efficiency and usability of these applications. In this work, an experiment was conducted using different combinations of resolution and FPS, and their impact on user experience was evaluated. The results show that resolution and FPS have significant effects on processing speed and object detection accuracy. Furthermore, it was found that certain combinations of resolution and FPS can improve software interactivity, suggesting the importance of optimizing these have parameters to achieve optimal performance in artificial vision applications. These findings have import implications for the design and development of artificial vision systems that require real-time interaction with the user.