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Intelligent Image Analysis System for Preventing Safety Hazards in Dangerous Working Area
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작업안전 위험상황 대응을 위한 지능형 영상분석 시스템 구축에 관한 연구

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Type
Academic journal
Author
Jang, Hyun Song (서울과학종합대학원 경영학과)
Journal
대한안전경영과학회 대한안전경영과학회지 대한안전경영과학회지 제17권 제2호 KCI Accredited Journals
Published
2015.1
Pages
47 - 54 (8page)

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Intelligent Image Analysis System for Preventing Safety Hazards in Dangerous Working Area
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Abstract· Keywords

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To prevent safety hazards in dangerous working area, we have proposed an intelligent image analysis system. Six common patterns of safety violations of workers' are defined and its motion detection algorithms are developed for alarm to CCTV monitoring system. Developed algorithms are implemented at 195 dangerous areas such as chemical and gas treated room. The results of violated motion detection ratio by developed system shows 94.95% of true positive cases, and 0.21% of false positive cases from all 587,645 event cases in one month implementation period. In the period, it is observed that the number of safety rule violations and the following accidents are decreased.
#Preventing Safety Hazards #Intelligent Image Analysis #CCTV

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References (5)

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Heinrich, H. W. / 1980 / Industrial accident prevention / McGraw-Hill :27 google schola Vincent, O. R. / 2009 / A descriptive algorithm for sobel image edge detection / Proceedings of Informing Science & IT Education Conference 40:97~107 google schola Nodes, T. / 1982 / Median filters: some modifications and their properties / IEEE Transactions on Acoustics Speech and Signal Processing :739~746 google schola Burges, C. J. / 1998 / A tutorial on support vector machines for pattern recognition / Data mining and knowledge discovery 2(2):121~167 google schola Bertozz, M. / 1998 / Stereo inverse perspective mapping: theory and applications / Image and Vision Computing 16(8):585~590 google schola

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