Survey Study: Monument Recognition using Artificial Intelligence

Document Type : Original Article

Authors

1 Faculty of Computer Science, Misr International University, Cairo, Egypt. Faculty of Computers and Artificial Intelligence, Helwan University, Cairo, Egypt.

2 Faculty of Computer Science, Misr International University, Cairo, Egypt

3 Faculty of Computers and Artificial Intelligence, Helwan University

Abstract

Monuments are man-made structures that are designed to imbue a location with important meanings. They serve both a political and artistic function. There is an overwhelming amount of information and features to look into monuments. Monument work is a unique industry. It would help the economies and growth of many countries. Every culture generally has its own set of distinct characteristics, like monuments, writing, and music. Considering the history and stories associated with monuments, it is difficult to evaluate the techniques used to detect these monuments. Within the domain of object recognition and classification, monument recognition is an arduous task. Numerous difficulties must be overcome, as multiple variables can alter the recognition method. This paper has been written to study the recent research on this point from 2017 to 2023. In this study, monuments from a variety of civilizations and countries, including Egypt, India, Turkey, Paris, Greece, and Singapore, have been compared to the algorithms or methodology utilized.

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