HERITAGE IDENTIFICATION OF MONUMENTS
Atharva Ravindra Chonkar, Shubham Rajesh Giri, Shubham Deepak Shirsat, Ganesh Gopal Reddy Guntaka, Surekha Khot · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2023
The goal of the Heritage Identification of Monuments project is to create an automated system for the recognition and classification of historical sites. The project's main goal is to preserve and maintain the rich cultural and historical heritage of the world, which comprises a variety of structures and monuments. Convolutional Neural Networks (CNNs), one of the most advanced deep learning techniques, will be used in this research to extract features and representations of various monuments from a big dataset of photographs. Then, depending on their features and qualities, such as architectural style, location, and historical context, these representations will be utilized to train machine learning models to identify and categorize particular monuments. A mobile application that will enable users to upload pictures of monuments and access details about their historical and cultural significance will also be developed as part of the project. The smartphone application will classify the supplied photographs and provide details on the recognized monuments using the developed machine- learning models. By creating an automated system for the identification and categorization of monuments using computer vision techniques, the Heritage Identification of Monuments project overall wants to contribute to the preservation and promotion of the world's cultural and historical heritage. Keywords - Monument identification, Computer vision, Deep learning, Convolutional Neural Networks, Historical context, Mobile application, Machine learning