Interactive Sensor Visualization for Smart Manufacturing System

This paper presents a case study of augmenting an electronic screen with a projected display to help visualizing sensor data in a smart manufacturing set up. The visualization module displays both spatial and temporal data and by holding a semi-transparent screen in front of an electronic screen, a user can augment spatial information with temporal trend or vice versa. The system also supports interaction through an interactive laser pointer and is integrated to an early warning system to alert any deviation in sensor readings in the contexts of environment and people tracking.

Content

Author and article information

Contributors

Pradipta Biswas

Swarnabha Roy

Gowdham Prabhakar

J. Rajesh

Somnath Arjun

Manish Arora

B. Gurumoorthy

Amaresh Chakrabarti

Conference

Publication date: July 2017

Publication date (Print): July 2017

Pages: 1-7

Affiliations

[ ¹ ]Centre for Product Design and Manufacturing

Indian Institute of Science

Bangalore 560012, India

[ ² ]Department of Electrical and Communication

Engineering

Indian Institute of Technology, Kharagpur

West Bengal, India

Article

DOI: 10.14236/ewic/HCI2017.99

SO-VID: e08d77ea-8e85-43f0-82c1-fb0f8d07efca

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Electronic Visualisation and the Arts (EVA 2017)

Conference acronym: EVA

Conference number:

Conference location: London, UK

Conference date: 11 – 13 July 2017

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Electronic Visualisation and the Arts

History

Product

1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2017.99

Self URI (journal page): https://ewic.bcs.org/

reference

J. Davis et al. 2015 ‘Smart Manufacturing’ Annual Review of Chemical and Biomolecular Engineering 6 1 141 60 doi:10.1146/annurev-chembioeng-061114-123255.
D. G. PelliJ. G. RobsonA. J. Wilkins 1988 The design of a new letter chart for measuring contrast sensitivity Clinical Vision Sciences 2 3 187 199
Rapid Upper Limb Assessment (RULA) -Ergonomics Plus Available at http://ergo-plus.com/wp-content/uploads/RULA-A-Step-by-Step-Guide1.pdf 18/5/2017
P. J SackettM. F. Al-GaylaniA. TiwariD. Williams A review of data visualization: Opportunities in manufacturing sequence management International Journal of Computer Integrated Manufacturing · October 2006
B. SarkarA. ChakrabartiG. K. Ananthasuresh 2015 Synthesis of conceptual designs for sensors using SAPPhIRE-lite In DS 80-5 Proceedings of the 20th International
Conference on Engineering Design (ICED 15) 5 Design Methods and Tools-Part 1 Milan, Italy 27 30 07 15
P. Vrba et al 2011 New Trends of Visualization in Smart Production Control Systems V. MarikP. VrbaP. Leitao HoloMAS 2011 Springer LNAI 686
S. WangJ. WanL. DiZ. Chunhua 2016 ‘Implementing Smart Factory of Industrie 4.0: An Outlook’ International Journal of Distributed Sensor Networks 2016 January e3159805 doi:10.1155/2016/3159805

Comments

Comment on this article

[1] J. Davis et al. 2015 ‘Smart Manufacturing’ Annual Review of Chemical and Biomolecular Engineering 6 1 141 60 doi:10.1146/annurev-chembioeng-061114-123255.

[2] D. G. PelliJ. G. RobsonA. J. Wilkins 1988 The design of a new letter chart for measuring contrast sensitivity Clinical Vision Sciences 2 3 187 199

[3] Rapid Upper Limb Assessment (RULA) -Ergonomics Plus Available at http://ergo-plus.com/wp-content/uploads/RULA-A-Step-by-Step-Guide1.pdf 18/5/2017

[4] P. J SackettM. F. Al-GaylaniA. TiwariD. Williams A review of data visualization: Opportunities in manufacturing sequence management International Journal of Computer Integrated Manufacturing · October 2006

[5] B. SarkarA. ChakrabartiG. K. Ananthasuresh 2015 Synthesis of conceptual designs for sensors using SAPPhIRE-lite In DS 80-5 Proceedings of the 20th International

[6] Conference on Engineering Design (ICED 15) 5 Design Methods and Tools-Part 1 Milan, Italy 27 30 07 15

[7] P. Vrba et al 2011 New Trends of Visualization in Smart Production Control Systems V. MarikP. VrbaP. Leitao HoloMAS 2011 Springer LNAI 686

[8] S. WangJ. WanL. DiZ. Chunhua 2016 ‘Implementing Smart Factory of Industrie 4.0: An Outlook’ International Journal of Distributed Sensor Networks 2016 January e3159805 doi:10.1155/2016/3159805

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