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Industrial Automation: Case Study—Vision Based Live Object Monitoring System

  • S. ShishiraEmail author
  • R. Roopalakshmi
  • Sithu D Sudarsan
  • Nilabja Ash
Conference paper
  • 15 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1119)

Abstract

In the current era of Industry 4.0 automation plays a vital role towards enhanced productivity. In this paper case study of a metal rod manufacturing plant is considered which currently employs proximity sensors for the automation process at the inspection unit. However, field sensors are frequently damaged because of their nature of proximity towards object recognition resulting in production downtime. As a solution vision based automation is presented in this paper by incorporating image analytics in three stages namely Image acquisition and pre-processing, Segmentation, Feature extraction and analysis at real-time. Case study results carried out at live object monitoring demonstrates the capability of the proposed framework in an open environment with changing lighting conditions.

Keywords

Industry 4.0 Computer vision Image analytics Object detection 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • S. Shishira
    • 1
    Email author
  • R. Roopalakshmi
    • 2
  • Sithu D Sudarsan
    • 1
  • Nilabja Ash
    • 3
  1. 1.ABB Corporate Research BengaluruIndia
  2. 2.Alvas Institute of Engineering and TechnologyMijarIndia
  3. 3.Business Line, Process Industry BengaluruIndia

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