Wood Capture, uma ferramenta para coleta de informações de espécies de madeira

Abstract

Wood is one of the most versatile materials found in nature, being used in several essential applications such as civil construction, furniture, navigation, pulp extraction, among others. In addition to its versatility, wood is also heterogeneous, having thousands of species around the world and due to its diversity for each type of application, some species serve better than others. The selection of which type to use requires knowledge and experience of professionals, which presents an uncertain and difficult task without the use of tools that are, in general, not accessible to everyone. For years, ways have been studied to automate the wood identification process, which ranges from microscopic identification (using professional cameras and microscopic lens) to macroscopic identification (where technologies more accessible to the public operate and bring positive results). With a focus on the macroscopic identification of species, studies were evaluated that validated the feasibility of recognizing wood using the most popular technologies such as the smartphone and using macro images of the species, thus making the process of wood recognition more democratic. During the work, it was noticed that before the stage of identifying the wood, it would first be necessary to have a database with macroscopic samples and this led this project to focus on the process of creating a tool for collecting macroscopic data of wood species that generate such a database. As a result of the work, Wood Capture was created to collect images and information on wood, in addition to an exploratory research on the subject.