LOCATING MISSING PERSONS USING ARTIFICIAL INTELLIGENCE

MITHILESH KUMAR, SHIKAR SINGH , DIPESH L I.HARISH RAJU and DR. S.SASIDHAR BABU

Abstract


Every day more than five hundred missing person complaints are approximated to go unanswered in India. an organization called as find me group FMG that is currently active in the united states led by former field experts is committed to solve the problems that lead to such scenarios. they have introduced and made use of the missing person intelligence synthesis toolkit mist which adopts a driven-data approach to the given problem. using the same approach and slightly building upon the foundation provided by FMG we aim to tackle this problem by taking search locations on the basis of the data on hand ranks and orders the locations based on the likelihood as well as the probability allocated to the search areas based on the prior information and previous performances that are taken individually as well as a group. we compared and contrasted our approach with the current practices adopted by several organizations and entities and found that this method gives us a slight but significant advantage over many of such approaches. it is worth noteworthy that it could actually reduce the search area leading to a reduction of many square kilometres over several cases that were examined in the conducted experiments. missing individual incidents have been on a steady rise in India for the past many years. the major cause of many of these incidents never being solved the lack of timely reporting of such cases and the lack of transparency of facts and information. and because of this sadly many of those cases are never solved. the cases of human trafficking and homicides are other fields that can be tackled by this approach as many of their attributes match.

 


Keywords


Keywords –Missing Person Intelligence Synthesis Toolkit, KNN Classifier, FMG

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References


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DOI: https://doi.org/10.26483/ijarcs.v11i0.6541

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