Physical Distancing Violation Detector Using Arduino - Based Grid - EYE Sensors in Rail Transit Stations

Physical distancing has become a part of the new normal wherein it has been difficult to implement as it needs the participation of everybody. This study used a Grid-EYE sensor to detect physical distancing violation in a controlled setup that simulates a rail transit station platform. This study also determined the effective angle and height of the Grid-EYE sensors for the best coverage area. The study also determined the accuracy of the device when it comes to physical distancing. The result of the study shows that the effective angle is 180° while the effective height is 2.1 m. The mean square value of the effective angle is 0.5849. As for the accuracy of the Grid-EYE sensors, this was determined by the outcome of the two-tailed t-test wherein the t-crit is 2.015 while the calculated t-test for both horizontal and vertical are 0.6706 and 1.2113. Thus, enough evidence shows that it can support the null hypothesis that claims that the actual distance is equal to the calculated distance. The processing time of the device is 1 second. Lastly, the Grid - EYE sensor was able to differentiate objects from humans as it did not detect thermal-emitting objects except for boiling water.