Intelligent Missing Children Prevention System for High Accuracy with Machine Leing

As the number of missing children increases significantly, various missing children prevention systems have been proposed. To prevent the child’s missing, it is important that the children should be monitored for their exact location in real-time. However, traditional proposed schemes do not support these requirements. So, we propose an intelligent missing children prevention system based on machine learning. To support high accuracy, the proposed system employs 2D-CNN which uses image data converted from Bluetooth signals. The proof-of-concept proves that our scheme is superior to other schemes through comparison with each performance of various machine learning models.