Design and Implementation of ThirdEye: Lost & Found System

Abstract

The Lost and Found System (LFS) is an innovative digital platform designed to streamline and enhance the process of reporting, managing, and retrieving lost items within various environments, such as educational institutions, corporate offices, public transportation, and public spaces. Traditional lost and found processes often involve manual paperwork, limited accessibility, and lengthy procedures, leading to inefficiencies and frustration for both users and administrators. The LFS leverages modern technology, including mobile applications and web interfaces, to create a more efficient and user-friendly experience. The system allows users to quickly report lost items by providing relevant details, such as item description, location of loss, and contact information. This information is then stored in a centralized database accessible to administrators responsible for managing lost and found items. Administrators can efficiently match and verify lost items with those reported, simplifying the process of reuniting owners with their belongings. Automated notifications and alerts are sent to users when a potential match is found, expediting the process and reducing the time items spend in the lost and found inventory.Additionally, the system can employ advanced technologies like image recognition to further enhance the accuracy of matching lost items with their descriptions. Machine learning algorithms can continually improve the matching process over time, making the system even more effective and reliable. The Lost and Found System represents a significant advancement in the way lost items are reported, managed, and returned. By leveraging cutting edge technology, the system offers enhanced efficiency, accuracy, and user experience, contributing to a more organized and user-centric approach to handling lost items across various environments