A Solution for Monitoring the Eye's Viewing Distance from Electronical Displays

Recent working environment due to pandemic covid 19 leads to numerous medical ailments for those who sits in front of the Computer Display for a longer duration. This type of activity leads to two types of eye strains such as Radiation Strain and Proximate Strain. Out of the two, proximate strain is the more potent cause of eye defects. There are proximity sensors in many devices, but their function is to turn off the display when kept in proximity to any surface. This has been done to prevent any mis-clicks on the display. There also exist many measures of safety to the eye by the use of blue light filters, dark mode, focus modes, etc. The proposed work focuses on monitoring the proximity of the eyes of the user to display with the use of the inbuilt device camera. The proposed algorithm maps the user's face and prevents them from using their devices too close to their eyes. Built on Python, OpenCV and MediaPipe, this project aims to do this using the camera on a device, it is very affordable and does not require any proprietary sensor or powerful and expensive hardware. Being very light, this algorithm can even run smoothly on a Raspberry Pi4.