Driver Temperature Automatic Detection Device Based on FLIR and Face Recognition

Bing Zhang; Yu Ping Qiu; Wei  Yan

doi:10.4028/www.scientific.net/AMR.765-767.2082

Paper Titles

The Application of EEMD to Fault Diagnosis of Rolling Bearing
p.2065

Research on Monitoring System for Factory Aquaculture
p.2070

Research on the Summarization of the Gear Parameters
p.2074

A Fault Diagnosis Method Based on Combination of Neural Network and Fault Dictionary
p.2078

Driver Temperature Automatic Detection Device Based on FLIR and Face Recognition
p.2082

Research on Online Fault Diagnosis Model Based on IoT in Process Industry
p.2089

Research on Service Scenario and Service Requirements for Electronic Health Monitoring
p.2093

Analysis and Simulation of an Autonomous Integrity Monitoring Algorithm for Dual-Mode Navigation Receiver
p.2097

Three-Phase Magnitude Detection Based on Decoupling Positive and Negative Sequences of Double D-Q Transformation
p.2101

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 765-767Driver Temperature Automatic Detection Device...

Driver Temperature Automatic Detection Device Based on FLIR and Face Recognition

Abstract:

For the purpose of screening drivers with higher than normal temperature, we developed a device based on Forward-looking Infrared Imagery (FLIR). Infrared curtain is used to detect the height of vehicle for the automatic positioning mechanism, face recognition technology is used to overcome sources of interferences, a dynamic equivalent temperature screening method is developed to distinguish the drivers with higher than normal temperature. This device was tested in Huang gang Port and had a good result, now it has become a standard facility in port of entry.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

2082-2088

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.765-767.2082

Citation:

Cite this paper

Online since:

September 2013

Authors:

Bing Zhang, Yu Ping Qiu, Wei Yan

Keywords:

Automatic Positioning, Face Recognition, FLIR, Infrared Curtain, Temperature Detection, Thermal Imaging

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Lv Zhiping, LinHanting, Yang Jianlei: Effect of Application of the Thermal Infrared Temperature Detection System among Entry-Exit Personnel, Chinese Frontier Health Quarantine Oct. 2008, Vol 31, No. 5.

Google Scholar

[2] Yang Jiaqi, Yang Jianlei, 'Ouyang Jing, Luo Minfei: Effect on Application of the Thermal Infrared Temperature Detection System and Analysis on Interrelated Factors on Accuracy Rate among Entry -Exit Population at Shenzhen Futian Port, Chinese Frontier Health Quarantine Oct. 2009, Vol 32, No. 5.

Google Scholar

[3] A. Bal and M.S. Balam: Automatic Target Tacking in FLIR Image Sequences Using Intensity Variation Function and Template Modeling, IEEE Transaction on Instrumentation and Measurement, Vol. 54, No. 5, October (2005).

DOI: 10.1109/tim.2005.855090

Google Scholar

[4] Stefano Arca, Paola Campadelli, Raffaella Lanzarotti: A Face Recognition System Based on Local Feature Analysis, J. Kittler and M.S. Nixon (Eds. ): AVBPA2003, LNCS2688, pp.182-189, 2003. ©Springer-Verlag Berlin Heidelberg (2003).

DOI: 10.1007/3-540-44887-x_22

Google Scholar

DOI: 10.1109/memb.2002.1175137

Google Scholar