• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Artikel
  4. A survey of the state of the art in sensor-based sorting technology and research
 
  • Details
  • Full
Options
2024
Journal Article
Title

A survey of the state of the art in sensor-based sorting technology and research

Abstract
Sensor-based sorting describes a family of systems that enable the removal of individual objects from a material stream. The technology is widely used in various industries such as agriculture, food, mining, and recycling. Examples of sorting tasks include the removal of fungus-infested grains, the enrichment of copper content in copper mining or the sorting of plastic waste according to the type of plastic. Sorting decisions are made based on information acquired by one or more sensors. A particular strength of the technology is the flexibility in sorting decisions, which is achieved by using various sensors and programming the data analysis. However, a comprehensive understanding of the process is necessary for the development of new sorting systems that can address previously unresolved tasks. This survey is aimed at innovative researchers and practitioners who are unfamiliar with sensor-based sorting or have only encountered certain aspects of the overall process. The references provided serve as starting points for further exploration of specific topics.
Author(s)
Maier, Georg  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Gruna, Robin  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Längle, Thomas  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Beyerer, Jürgen  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Journal
IEEE access  
Open Access
DOI
10.1109/access.2024.3350987
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • Agriculture

  • Automatic quality control

  • Food processing

  • Machine Vision

  • Mining

  • Recycling

  • sensors

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024