Analysis of Child Abduction Cases and Design of Internet of Things Based Child Safety System

Abstract

The illegal removal of a minor from the custody of the child’s natural parents or legally appointed guardians is known as child abduction or child stealing. Child kidnapping is a serious offence, and it is increasing with rapid rate. Safety of a child is always a matter of concern of parents as well as school authorities. In this paper, statistical analysis of dataset of child kidnapping with different parameters such as age, gender, race, height and weight are discussed. Supervised machine learning algorithms is used to identify the pattern of abduction done by family member or outside the family. The classifier received the accuracy of 93%. Furthermore, Internet of Things based system is also proposed that will monitor the location of the child whenever child enters or exits in the school vehicle. The proposed system is designed with Arduino microcontroller, RFID reader, GSM module, GPS module, PIR sensor, and Piezo Buzzer. The system gets triggered when child enters or exits in the school vehicle and RFID tags are read that are fixed on the shoe of child. The proposed system is tested with 10 students at different time with different geographical locations.