Haptic Eye: A Contactless Material Classification System

Tamas Aujeszky; Georgios Korres; Mohamad Eid

doi:10.1007/978-981-13-3194-7_25

Haptic Eye: A Contactless Material Classification System

Tamas Aujeszky, Georgios Korres, Mohamad Eid

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

Abstract

In this paper we demonstrate a system capable of classifying different types of materials in a contactless fashion by using active infrared thermography and machine learning algorithms. A laser diode heats the materials and the infrared camera records the thermal dissipation signature of each material. These data are then fed to machine learning algorithms to classify the materials. This system can potentially be used in teleoperation applications for robots that operate in unknown scenes.

Original language	English (US)
Title of host publication	Haptic Interaction - Perception, Devices and Algorithms, 2018
Editors	Masashi Konyo, Ki-Uk Kyung, Sang-Youn Kim, Hiroyuki Kajimoto, Dongjun Lee
Publisher	Springer Verlag
Pages	110-111
Number of pages	2
ISBN (Print)	9789811331930
DOIs	https://doi.org/10.1007/978-981-13-3194-7_25
State	Published - 2019
Event	3rd International AsiaHaptics Conference, 2018 - Incheon, Korea, Republic of Duration: Nov 14 2018 → Nov 16 2018

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	535
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	3rd International AsiaHaptics Conference, 2018
Country/Territory	Korea, Republic of
City	Incheon
Period	11/14/18 → 11/16/18

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-981-13-3194-7_25

Cite this

Haptic Eye: A Contactless Material Classification System. / Aujeszky, Tamas; Korres, Georgios; Eid, Mohamad.
Haptic Interaction - Perception, Devices and Algorithms, 2018. ed. / Masashi Konyo; Ki-Uk Kyung; Sang-Youn Kim; Hiroyuki Kajimoto; Dongjun Lee. Springer Verlag, 2019. p. 110-111 (Lecture Notes in Electrical Engineering; Vol. 535).

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

Aujeszky, T, Korres, G & Eid, M 2019, Haptic Eye: A Contactless Material Classification System. in M Konyo, K-U Kyung, S-Y Kim, H Kajimoto & D Lee (eds), Haptic Interaction - Perception, Devices and Algorithms, 2018. Lecture Notes in Electrical Engineering, vol. 535, Springer Verlag, pp. 110-111, 3rd International AsiaHaptics Conference, 2018, Incheon, Korea, Republic of, 11/14/18. https://doi.org/10.1007/978-981-13-3194-7_25

@inproceedings{0234f8cd7542404c80222147f61ee3d0,

title = "Haptic Eye: A Contactless Material Classification System",

abstract = "In this paper we demonstrate a system capable of classifying different types of materials in a contactless fashion by using active infrared thermography and machine learning algorithms. A laser diode heats the materials and the infrared camera records the thermal dissipation signature of each material. These data are then fed to machine learning algorithms to classify the materials. This system can potentially be used in teleoperation applications for robots that operate in unknown scenes.",

author = "Tamas Aujeszky and Georgios Korres and Mohamad Eid",

year = "2019",

doi = "10.1007/978-981-13-3194-7_25",

language = "English (US)",

isbn = "9789811331930",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "110--111",

editor = "Masashi Konyo and Ki-Uk Kyung and Sang-Youn Kim and Hiroyuki Kajimoto and Dongjun Lee",

booktitle = "Haptic Interaction - Perception, Devices and Algorithms, 2018",

note = "3rd International AsiaHaptics Conference, 2018 ; Conference date: 14-11-2018 Through 16-11-2018",

}

TY - GEN

T1 - Haptic Eye

T2 - 3rd International AsiaHaptics Conference, 2018

AU - Aujeszky, Tamas

AU - Korres, Georgios

AU - Eid, Mohamad

PY - 2019

Y1 - 2019

N2 - In this paper we demonstrate a system capable of classifying different types of materials in a contactless fashion by using active infrared thermography and machine learning algorithms. A laser diode heats the materials and the infrared camera records the thermal dissipation signature of each material. These data are then fed to machine learning algorithms to classify the materials. This system can potentially be used in teleoperation applications for robots that operate in unknown scenes.

AB - In this paper we demonstrate a system capable of classifying different types of materials in a contactless fashion by using active infrared thermography and machine learning algorithms. A laser diode heats the materials and the infrared camera records the thermal dissipation signature of each material. These data are then fed to machine learning algorithms to classify the materials. This system can potentially be used in teleoperation applications for robots that operate in unknown scenes.

UR - http://www.scopus.com/inward/record.url?scp=85065968361&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85065968361&partnerID=8YFLogxK

U2 - 10.1007/978-981-13-3194-7_25

DO - 10.1007/978-981-13-3194-7_25

M3 - Conference contribution

AN - SCOPUS:85065968361

SN - 9789811331930

T3 - Lecture Notes in Electrical Engineering

SP - 110

EP - 111

BT - Haptic Interaction - Perception, Devices and Algorithms, 2018

A2 - Konyo, Masashi

A2 - Kyung, Ki-Uk

A2 - Kim, Sang-Youn

A2 - Kajimoto, Hiroyuki

A2 - Lee, Dongjun

PB - Springer Verlag

Y2 - 14 November 2018 through 16 November 2018

ER -

Haptic Eye: A Contactless Material Classification System

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this