Girl Child Security System based on IOT Technology with GPS Tracker Comparing with Fuzzy Classifier Based Safety Device

In this work girl child security system using a GPS tracker in lOT with Thingspeak (Group 1) is going to be designed and compared with the girl child security device using fuzzy classifier (Group 2).: This system ensures the safety and security of the girl child by continuous monitoring of the location details of the girl child. 10 samples were taken for each group. The P¡0.005 signifies the performance of the system. Girl child security system using a GPS tracker in lOT with Thingspeak (Group 1) having mean accuracy 0.4, Standard deviation 0.516 and standard error 0.1633 and the Girl child security device using fuzzy classifier (Group 2) mean accuracy 0.2, Standard deviation 0.422 and standard error 0.133. The significance P¡O.05 shows the goodness in the performance. The girl child security system using a GPS tracker in lOT with Thingspeak significantly performs better than the girl child security device using fuzzy classifier.