Searchious: Locating missing people using an optimised face recognition algorithm

Abstract

Importance of face recognition systems has sped up in the last few decades. Face recognition is a part of biometric processing. Everyday hundreds of people go missing throughout the world. These people are either kidnapped, taken as slaves or forced to work underage, or beg on railway platforms, small shops or compelled into prostitution, human-trafficking or various other illegal activities. The posts of missing people are found in our day to day lives on social media platforms, news channels, newspapers etc. This research wok has been proposed to help them locate missing people in a easier way. The proposed tool, Searchious tends to reduce the time taken to trace the person and improve the process of finding the missing person. While Searchious can look for people who are missing, if a new face, which is not present in the database occurs, a new case can be filed for the same. Searchious has an Android application for the common citizens as well as a desktop software built using Python for the police stations by also including a face recognition algorithm based on KNN.