Padronização de armazenamento de metadados gerados pela detecção de objetos e cores de vídeos provenientes de sistema de segurança eletrônica

Abstract

This project aims to standardize and enhance metadata storage procedures in Closed Circuit Television (CCTV) systems, particularly regarding the identification of objects and colors in video records. The goal is to facilitate the organization, retrieval, and analysis of information through the development of advanced tools for accurate detection of objects and colors in videos. Attention will be given to selecting the most suitable database system for storing these metadata, considering criteria such as capacity, efficiency, scalability, and security. Additionally, the project includes creating a semantic video search tool, enabling the retrieval and identification of specific content. This integrated effort seeks to improve the efficiency and utility of video-based security systems by improving the detection, storage, and analysis of metadata.