Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6867985 | Robotics and Computer-Integrated Manufacturing | 2017 | 9 Pages |
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
Sergey Astanin, Dario Antonelli, Paolo Chiabert, Chiara Alletto,