A Web application for reporting and identification of missing persons in Kenya

Abstract

In Kenya, the escalating number of missing individuals, including both children and adults, has become a pressing issue. The existing methods for reporting missing persons are often inefficient, relying heavily on manual processes that consume significant time and resources. This research endeavours to tackle this challenge by developing a web-based system designed to manage cases of missing individuals. Central to this system is the integration of a facial recognition module, allowing for the comparison of facial features against a centralized database of missing persons. This integration aims to enhance the efficiency and accuracy of the search process. Authorized personnel are granted access to update and maintain the missing persons database within the system, further streamlining the search process. Additionally, the system incorporates Google Maps functionality, enabling users to pinpoint the precise location of a disappearance or where an individual was found. To ensure unbiasedness and effectiveness, the system underwent rigorous testing and evaluation using a diverse range of facial images. This evaluation aimed to verify its performance across various facial types while guarding against biases or discriminatory outcomes. By offering an efficient and precise mechanism for reporting and searching for missing persons, this research strives to enhance the efficacy of reuniting individuals with their families, thereby addressing the critical need for improved missing persons management in Kenya.