A Review of Computational Vision Applied to Materials Selection

Resumo

This bibliographic review shows the crescent works in the field of computational vision applied to materials selection within the framework yolo. The results obtained with the search present studies from the years of 2021 to 2025, published in the patforms Dimensions, Google Scholar and WebofScience. It was observed that studies in that field are crescent, have increased from 2023. Researches in that field indicate that solutions for defects, classification and material properties are the most common fields of study. Architectures of Deep Learning and Convolutional Neural Networks are the most common used techniques, together with framework Yolo for integration in already built-in solutions.