Article ID Journal Published Year Pages File Type
6867985 Robotics and Computer-Integrated Manufacturing 2017 9 Pages PDF
Abstract
A distinguishing aspect of the study is detection of workpieces made of diverse materials, including shiny metals. Reflective surfaces are common in the industrial manufacturing, but are rarely considered in the research on object recognition because they hinder many of the object recognition algorithms. The proposed solution has been qualified and tested on a selected benchmark in a realistic workshop environment with artificial light conditions. The training of the object recognition software is an automatic process and can be executed by non-expert industrial users to allow for recognition of different types of objects.
Keywords
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
, , , ,