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Smoke detection in tunnels using video images
In the aftermath of the two disastrous fires in the Mont Blanc and the Hohentauern road tunnels, there is a strong trend in Europe to require additional safety installations in tunnels for the detection of fires. Smoke detection based on processing of video images promises fast detection of fires and can complement more traditional techniques such as temperature sensing. Because it uses already required installations (the video system), this video smoke detection system can be deployed at a reasonable cost and, furthermore, it can be retrofitted into already existing installations. In this paper a new video smoke detection system is described and a report on full scale fire tests in tunnels is given. Furthermore, it is demonstrated that the video smoke detection system correctly processes video sequences prone to give false alarms; no false alarms were given.
Smoke detection in tunnels using video images
In the aftermath of the two disastrous fires in the Mont Blanc and the Hohentauern road tunnels, there is a strong trend in Europe to require additional safety installations in tunnels for the detection of fires. Smoke detection based on processing of video images promises fast detection of fires and can complement more traditional techniques such as temperature sensing. Because it uses already required installations (the video system), this video smoke detection system can be deployed at a reasonable cost and, furthermore, it can be retrofitted into already existing installations. In this paper a new video smoke detection system is described and a report on full scale fire tests in tunnels is given. Furthermore, it is demonstrated that the video smoke detection system correctly processes video sequences prone to give false alarms; no false alarms were given.
Smoke detection in tunnels using video images
Raucherkennung in Tunneln mittels Videobildern
Wieser, D. (author) / Brupbacher, T. (author)
2001
12 Seiten, 4 Bilder, 8 Quellen
Conference paper
English
Smoke Detection in Tunnels Using Video Images
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