An innovative person detection system based on thermal imaging cameras dedicate for underground belt conveyors

Within the INESI-project (Increasing Efficiency and Safety Improvement in Underground Mining Transportation Routes) long-wavelength infrared (LWIR) cameras are used for detecting persons on underground belt conveyors or within hazardous areas e.g. in front of crusher or skip vessels by the project p...

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Bibliographic Details
Published in:Mining Science (Wroclaw) 2019, Vol.26, p.263
Main Authors: Uth, Fabian, Polnik, Bartosz, Kurpiel, Wojciech, Baltes, Ralph, Kriegsch, Peter, Clausen, Elisabeth
Format: Article
Language:English
Subjects:
Algorithms
Automation
Belt conveyors
Camcorders
Cameras
Coal mines
Coal mining
Digitization
Efficiency
Explosions
Fiber optics
Hazardous areas
Heat detection
Image processing
Infrared cameras
Keyboards
Mines
Mining accidents & safety
Power supply
Radiation
Seat belts
Thermal imaging
Underground mines
Underground mining
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Description
Summary:Within the INESI-project (Increasing Efficiency and Safety Improvement in Underground Mining Transportation Routes) long-wavelength infrared (LWIR) cameras are used for detecting persons on underground belt conveyors or within hazardous areas e.g. in front of crusher or skip vessels by the project partners KOMAG and the Institute for Advanced Mining Technologies (AMT). The test case for evaluating the performance of thermal imaging regarding these applications is the Polish Sobieski underground coal mine operated by Tauron mining company. By the development of thermal image processing algorithms, an automated detection of persons and classification of different objects was achieved. This may allow implementing smart services for person detection on underground belt conveyors as well as material characterization between coal, rock and disturbing objects on belt conveyors.
ISSN:2300-9586
2353-5423
DOI:10.37190/msc192618