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3D Thermal Monitoring and Measurement using Smart-phone and IR Thermal Sensor

Topics: Color and Texture Analyses; Content-Based Indexing, Search, and Retrieval; Features Extraction; Image Registration; Image-Based Modeling and 3D Reconstruction; Mobile Imaging; Multimodal and Multi-Sensor Models of Image Formation; Object Detection and Localization; Optical Flow and Motion Analyses; Segmentation and Grouping

Authors: Arindam Saha ; Keshaw Dewangan and Ranjan Dasgupta

Affiliation: Tata Consultancy Services Limited, India

Keyword(s): Thermal Inspection, Smart-phone Application, Sensor Fusion, 3D Measurement, Camera Calibration, Multi-view Geometry, FLIR Thermal Attachment.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Geometry and Modeling ; Image and Video Analysis ; Image Formation and Preprocessing ; Image Registration ; Image-Based Modeling ; Mobile Imaging ; Motion, Tracking and Stereo Vision ; Multimodal and Multi-Sensor Models of Image Formation ; Optical Flow and Motion Analyses ; Pattern Recognition ; Segmentation and Grouping ; Software Engineering

Abstract: Continuous and on the fly heat monitoring in industries like manufacturing and chemical is of compelling research nowadays. The recent advancement in IR thermal sensors unfold the possibilities to fuse the thermal information with other low cost sensor (like optical camera) to perform area or volumetric heat measurement of any heated object. Recent development of affordable handheld mobile thermal sensor as a smart-phone attachment by FLIR encouraged the researcher to develop thermal monitoring system as smart-phone application. In pursuit of this goal we present a light weight system with a combination of optical and thermal sensors to create a thermal dense 3D model along with area/volume measurement of the heated zones using smart-phone. Our proposed pipeline captures RGB and thermal images simultaneously using FLIR thermal attachment. Estimates the poses for RGB and depth images, 3D models are generated by tracking the features from RGB images. Back-projection is used to colour t he 3D points to represent both in RGB as well as an estimated surface temperature. The final output of the system is the detected hot region with area/volumetric measurement. Experimental results demonstrate that the cost effective system is capable to measure hot areas accurately and usable in everyday life. (More)

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Paper citation in several formats:
Saha, A.; Dewangan, K. and Dasgupta, R. (2016). 3D Thermal Monitoring and Measurement using Smart-phone and IR Thermal Sensor. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 694-700. DOI: 10.5220/0005786106940700

@conference{visapp16,
author={Arindam Saha. and Keshaw Dewangan. and Ranjan Dasgupta.},
title={3D Thermal Monitoring and Measurement using Smart-phone and IR Thermal Sensor},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP},
year={2016},
pages={694-700},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005786106940700},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP
TI - 3D Thermal Monitoring and Measurement using Smart-phone and IR Thermal Sensor
SN - 978-989-758-175-5
IS - 2184-4321
AU - Saha, A.
AU - Dewangan, K.
AU - Dasgupta, R.
PY - 2016
SP - 694
EP - 700
DO - 10.5220/0005786106940700
PB - SciTePress