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

S. Shishira; R. Roopalakshmi; Sithu D. Sudarsan; Nilabja Ash

doi:10.1007/978-981-15-2414-1_58

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

S. Shishira^*
, R. Roopalakshmi
, Sithu D. Sudarsan
, Nilabja Ash

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Progress in Computing, Analytics and Networking - Proceedings of ICCAN 2019
Editors	Himansu Das, Prasant Kumar Pattnaik, Siddharth Swarup Rautaray, Kuan-Ching Li
Publisher	Springer
Pages	579-589
Number of pages	11
ISBN (Print)	9789811524134
DOIs	https://doi.org/10.1007/978-981-15-2414-1_58
Publication status	Published - 2020
Event	2nd International Conference on Computing Analytics and Networking, ICCAN 2019 - Bhubaneswar, India Duration: 14-12-2019 → 15-12-2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1119
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	2nd International Conference on Computing Analytics and Networking, ICCAN 2019
Country/Territory	India
City	Bhubaneswar
Period	14-12-19 → 15-12-19

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-981-15-2414-1_58

Cite this

Shishira, S., Roopalakshmi, R., Sudarsan, S. D., & Ash, N. (2020). Industrial Automation: Case Study—Vision Based Live Object Monitoring System. In H. Das, P. K. Pattnaik, S. S. Rautaray, & K.-C. Li (Eds.), Progress in Computing, Analytics and Networking - Proceedings of ICCAN 2019 (pp. 579-589). (Advances in Intelligent Systems and Computing; Vol. 1119). Springer. https://doi.org/10.1007/978-981-15-2414-1_58

Shishira, S. ; Roopalakshmi, R. ; Sudarsan, Sithu D. et al. / Industrial Automation : Case Study—Vision Based Live Object Monitoring System. Progress in Computing, Analytics and Networking - Proceedings of ICCAN 2019. editor / Himansu Das ; Prasant Kumar Pattnaik ; Siddharth Swarup Rautaray ; Kuan-Ching Li. Springer, 2020. pp. 579-589 (Advances in Intelligent Systems and Computing).

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title = "Industrial Automation: Case Study—Vision Based Live Object Monitoring System",

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.",

author = "S. Shishira and R. Roopalakshmi and Sudarsan, \{Sithu D.\} and Nilabja Ash",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.; 2nd International Conference on Computing Analytics and Networking, ICCAN 2019 ; Conference date: 14-12-2019 Through 15-12-2019",

year = "2020",

doi = "10.1007/978-981-15-2414-1\_58",

language = "English",

isbn = "9789811524134",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "579--589",

editor = "Himansu Das and Pattnaik, \{Prasant Kumar\} and Rautaray, \{Siddharth Swarup\} and Kuan-Ching Li",

booktitle = "Progress in Computing, Analytics and Networking - Proceedings of ICCAN 2019",

address = "Germany",

}

Shishira, S, Roopalakshmi, R, Sudarsan, SD & Ash, N 2020, Industrial Automation: Case Study—Vision Based Live Object Monitoring System. in H Das, PK Pattnaik, SS Rautaray & K-C Li (eds), Progress in Computing, Analytics and Networking - Proceedings of ICCAN 2019. Advances in Intelligent Systems and Computing, vol. 1119, Springer, pp. 579-589, 2nd International Conference on Computing Analytics and Networking, ICCAN 2019, Bhubaneswar, India, 14-12-19. https://doi.org/10.1007/978-981-15-2414-1_58

Industrial Automation: Case Study—Vision Based Live Object Monitoring System. / Shishira, S.; Roopalakshmi, R.; Sudarsan, Sithu D. et al.
Progress in Computing, Analytics and Networking - Proceedings of ICCAN 2019. ed. / Himansu Das; Prasant Kumar Pattnaik; Siddharth Swarup Rautaray; Kuan-Ching Li. Springer, 2020. p. 579-589 (Advances in Intelligent Systems and Computing; Vol. 1119).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Industrial Automation

T2 - 2nd International Conference on Computing Analytics and Networking, ICCAN 2019

AU - Shishira, S.

AU - Roopalakshmi, R.

AU - Sudarsan, Sithu D.

AU - Ash, Nilabja

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85083327203

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DO - 10.1007/978-981-15-2414-1_58

M3 - Conference contribution

AN - SCOPUS:85083327203

SN - 9789811524134

T3 - Advances in Intelligent Systems and Computing

SP - 579

EP - 589

BT - Progress in Computing, Analytics and Networking - Proceedings of ICCAN 2019

A2 - Das, Himansu

A2 - Pattnaik, Prasant Kumar

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A2 - Li, Kuan-Ching

PB - Springer

Y2 - 14 December 2019 through 15 December 2019

ER -

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

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