Vision deterioration is one of society's major issues and with the current tech boom, the number of kids being exposed to display screens is rising at a staggering rate. A constant exposure to improperly-lit screens leads to an increase in eyesight degradation, headaches, and migraines. The overall purpose of this study is to obtain a co-relation between the incident light and the corresponding optimal brightness value for a display device like laptops/desktops. Using an LDR sensor (light dependent resistor) for capturing surrounding light's intensity, Arduino-UNO for quantifying the data, and Python and UNIX scripts for the actual execution, the correlation between incident light's luminance range vs the optimal brightness value was studied and documented for 10 different smartphones equipped with auto-brightness feature at varying intensities of light. A graph was plotted for the 100 values obtained and a logarithmic relation between the ambient light and the device's optimal brightness for that level was discovered. This logarithmic relation coupled with the inexpensive and highly scalable solution proposed provides an opportunity for the further optimization of auto-brightness features prevalent in current devices. As the world nears a complete digital transformation, it is the need of the hour that users incorporate automatic brightness controllers in their desktops to prevent major eyesight degradation. © 2021 IEEE