Mobile-Based Archival and Retrieval of Missing Objects Using Image Matching

It is not uncommon to lose everyday objects outside your home. Currently, there are very few technological resources to help locate lost objects. This paper discusses a multi-platform mobile application that provides a solution to this issue. Lost and found mobile application helps people report lost and found objects through their mobile phones rather than going through the procedure of filling up forms. In addition, it has a backend server that runs an algorithm for object matching using Speeded Up Robust Features (SURF) to match images of lost items with that of found items. The application has three versions: General, Elderly, and Organization. The paper presents the results obtained by implementing the proposed mobile application, as well as the accuracy and performance obtained by testing the image matching algorithm on a set of images representing lost and found objects. Collected results show the robust features of SURF algorithm, as well as its invariance to rotation, which often occurs when taking photographs by mobile phones.