AU2002312698B2 - Video smoke detection system and method for examining the same - Google Patents
Video smoke detection system and method for examining the same Download PDFInfo
- Publication number
- AU2002312698B2 AU2002312698B2 AU2002312698A AU2002312698A AU2002312698B2 AU 2002312698 B2 AU2002312698 B2 AU 2002312698B2 AU 2002312698 A AU2002312698 A AU 2002312698A AU 2002312698 A AU2002312698 A AU 2002312698A AU 2002312698 B2 AU2002312698 B2 AU 2002312698B2
- Authority
- AU
- Australia
- Prior art keywords
- video
- detection system
- camera
- smoke detection
- signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
- 239000000779 smoke Substances 0.000 title claims description 59
- 238000001514 detection method Methods 0.000 title claims description 37
- 238000000034 method Methods 0.000 title claims description 14
- 238000012360 testing method Methods 0.000 claims description 30
- 238000012545 processing Methods 0.000 claims description 11
- 230000003287 optical effect Effects 0.000 claims description 7
- 238000001914 filtration Methods 0.000 claims description 3
- 238000012546 transfer Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 description 4
- 230000000875 corresponding effect Effects 0.000 description 3
- 239000004509 smoke generator Substances 0.000 description 3
- 239000003795 chemical substances by application Substances 0.000 description 2
- 239000000428 dust Substances 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000005286 illumination Methods 0.000 description 2
- 238000011065 in-situ storage Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000003908 quality control method Methods 0.000 description 2
- 230000001960 triggered effect Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 230000002238 attenuated effect Effects 0.000 description 1
- 238000009833 condensation Methods 0.000 description 1
- 230000005494 condensation Effects 0.000 description 1
- 238000009795 derivation Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
- 239000007921 spray Substances 0.000 description 1
- 238000013517 stratification Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/47—Scattering, i.e. diffuse reflection
- G01N21/49—Scattering, i.e. diffuse reflection within a body or fluid
- G01N21/53—Scattering, i.e. diffuse reflection within a body or fluid within a flowing fluid, e.g. smoke
- G01N21/532—Scattering, i.e. diffuse reflection within a body or fluid within a flowing fluid, e.g. smoke with measurement of scattering and transmission
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Biochemistry (AREA)
- Immunology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Pathology (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Fire-Detection Mechanisms (AREA)
- Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
Das Video-Rauchdetektionssystem umfasst eine Kamera (1) zur Aufnahme von Videobildern und eine Signalverarbeitungsstufe (2), in welcher eine Bestimmung der Helligkeit der einzelnen Pixel oder Gruppen von Pixeln der Videobilder erfolgt. Dabei wird ein für die Helligkeit der Pixel repräsentativer Wert gewonnen und in seinem zeitlichen Verlauf auf für das Auftreten von Rauch charakteristische Veränderungen untersucht. Zur Überprüfung des Systems zum Zweck einer Funktionsprüfung oder Kalibrierung ist das Signal der Kamera (1) so beeinflussbar, dass der Signalverarbeitungsstufe (2) eine für das Auftreten von Rauch charakteristische Veränderung des Videosignals vorgetäuscht wird. Letzteres erfolgt durch Mittel für eine Reduktion des Kontrasts des Videosignals.
Description
Siemens Building Technologies AG, CH-8034 Zarich CB-530E Video Smoke Detection System and Method for Testing the .Same Description The present invention relates to a video smoke detection system with a camera for recording video images and a signal processing stage in which the brightness of the individual pixels or group of pixels of the video images is determined, wherein a value that is representative of the brightness of the pixels is obtained and its behaviour over time is investigated to detect the occurrence of changes characteristic of smoke.
Smoke detection systems of this type, such as are described for example in WO 00/23959 and in EP patent application no.
00 128 606.1, are preferably used in tunnels, since in the latter, it cannot be ensured on account of the air movement and air stratification generated by the moving vehicles and trains, that the smoke formed in the event of a fire would reach in good time the smoke detectors mounted on the roof of the tunnel.
The operator of a tunnel who employs such a smoke detection system wishes not only to comply with the specified or agreed specifications, but also to be able to carry out function tests in situ so as to check the operational readiness of the system at any time. The obvious possible way of carrying out such function tests using a smoke generator is very complicated however, since the relevant tunnel has to be closed for this purpose. The manufacturer of the smoke detection system is for their part interested in checking, within the framework of quality control during manufacture or after installation of the systems, the compliance with the specifications and in calibrating the system, in which connection this calibration should be able to be carried out as simply as possible. Here too the use of smoke generators is very complicated.
The invention now provides a video smoke detection system by means of which a function check or calibration can be carried out quickly and without great effort and expenditure in situ, i.e. at the installation site directly in the tunnel as well as at the place of manufacture or indeed any other arbitrary place. These two processes (calibration and function check) hereinafter termed test/testing should be able to be carried out simply and reliably and should yield reproducible results.
The video smoke detection system according to the invention is characterised in that in order to test the system the signal from the camera can be influenced so that a change in the video signal that is characteristic of the occurrence of smoke is simulated at the signal processing stage.
A first preferred embodiment of the video smoke detection system according to the invention is characterised in that means are provided for reducing the contrast of the video signal.
A second preferred embodiment of the video smoke detection system according to the invention is characterised in that the aforementioned means are formed by an optical filter that can be positioned in front of the camera lens.
Preferably the optical filter has a plurality of variously strongly scattering diffusers that can be positioned as desired in front of the camera lens.
A third preferred embodiment of the video smoke detection system according to the invention is characterised in that the aforementioned means comprise a decoder with adjustable contrast.
A fourth preferred embodiment of the video smoke detection system according to the invention is characterised in that the aforementioned means are formed by an electronic filter that can be connected between the camera and signal processing stage.
A fifth preferred embodiment of the video smoke detection system according to the invention is characterised in that the filter has a transfer function with vertical and horizontal filtering.
A sixth preferred embodiment of the video smoke detection system according to the invention is characterised in that the aforementioned means have a device for adjusting the focal length of the camera. Preferably the aforementioned means can be actuated by remote control.
The present invention also relates to a method for testing a video smoke detection system that comprises a camera for recording video images and a signal processing stage, in which the brightness of the individual pixels or groups of pixels of the video images is determined and a value that is representative of the brightness of the pixels is obtained and its behaviour is investigated over time to detect the occurrence of changes that are characteristic of smoke.
The method according to the invention is characterised in that in order to test the system the signal from the camera is influenced so that a change in the video signal that is characteristic of the occurrence of smoke is simulated at the signal processing stage.
A first preferred embodiment of the method according to the invention is characterised in that the contrast of the video signal is reduced.
In the video smoke detection system according to the invention and in the method according to the invention for testing a video smoke detection system, an optical filter in front of the camera is therefore swivelled in order to simulate smoke, or the video signal at the output of the camera is electronically isolated so that it reacts to the smoke algorithm, or the focal length of the camera is adjusted to such an extent as to simulate an image fuzziness caused by smoke.
In all cases a reduction of the contrast of the video signal is thus effected, whereby it "appears" to the signal processing stage as if smoke were actually present. In this way the smoke detection algorithm can be tested under realistic conditions without having to produce a test fire or activate a smoke generator, which would not be feasible in practice in a tunnel on account of the associated traffic congestion (closure of the tunnel).
The invention is described in more detail hereinafter with the aid of examples of implementation and with reference to the following drawings, in which: Fig. 1 is a diagrammatic representation of a first embodiment of a video smoke detection system according to the invention, Fig. 2 is a diagrammatic representation of a first variant of the system of Fig. 1, and Fig. 3 is a diagrammatic representation of a second variant of the system of Fig. 1.
The video smoke detection system according to the invention consists according to Figs. 1 to 3 essentially of a plurality of video cameras 1 and a common processor 2, in which the signals from the video cameras 1 are processed and evaluated. The video cameras 1 are installed for example in a road tunnel and serve to monitor the traffic flow, for example to monitor the observance of traffic regulations and to detect the build-up of dust, accidents and the like. The cameras are connected to a manned control point in which the traffic in the tunnel can be observed via monitors. The processors 2 are decentrally arranged, a certain number of for example 8 to 10 cameras being associated in each case with a common processor 2.
Each video camera 1 is arranged for example in a housing 3 that serves to protect the camera against external influences such as damage, spray water, condensation water or dust. The front side of the housing 3 has a transparent window 4 and the upper side of the housing has a cover that can be moved in the longitudinal direction. A housing of this type is known for example from the International Design Registration No. DM/049 356.
In addition to monitoring the traffic, the system consisting of the video cameras 1 and the processors 2 serves for fire warning purposes by detecting the smoke that is thereby formed. In the processor 2 the video images are decomposed into pixels, brightness values are allocated to the individual pixels and/or groups of pixels, and by comparing the brightness values of the pixels to a reference value it is decided whether or not smoke is present. In the allocation of the brightness values to the individual pixels or groups of pixels it is essential that this allocation is independent of global changes in brightness, i.e. changes in the illumination of the overall image. This independence from the illumination can be achieved by allocating to the pixels edge values that in fact represent a derivation. The recognition of smoke is based on the assumption that the edges disappear or are attenuated by smoke. This means in other words that, due to the smoke, the contrast in the video signal, which is the output signal of the camera 1, is reduced.
The details of the smoke detection algorithm are not described in more detail here; reference may be made in this connection to European patent application no.
00128606.1 filed by Siemens Building Technologies AG on 28.12.2000, to which reference is hereby expressly made.
The aforedescribed video smoke detection system is equipped with a test device for function testing and/or calibration, which enables the compliance with the specifications to be tested and a function test to be carried out at any arbitrary site, in particular at the place of use of the system, under realistic conditions without having to produce a test fire or activate a smoke generator. The test device is based on the fact that the signal from the camera 1 is influenced in such a way that a change in the video signal that is characteristic of the presence of smoke is simulated at the processor 2. Figs. 1 to 3 each illustrate an embodiment of the test device.
According to Fig. 1 the test device is formed by an optical filter 6 that can be swivelled in front of the lens of the video camera 1. The filter may in the simplest case be a type of signalling disc that can be held by an operator in front of the camera 1, or it may be formed as a motoractuable swivelling arm or may even be part of a motordriveable disc as illustrated in Fig. 1. The disc includes, in addition to the filter 6 acting as diffuser, an optically completely transparent region that in normal operation is swivelled in front of the lens of the video camera 1. The filter 6 may be a surface diffuser or a volume diffuser, or there may also be used a so-called diffusing screen, as is employed in photography to reduce the contrast, as filter 6. The disc together with its drive 7 may either be arranged in the interior of the housing 3 as shown in the diagram, or may also be arranged outside the latter.
When a test is to be carried out, the drive 7 of the disc receives a corresponding signal via a line 8 connected to the control point and swivels the optical filter in front of the lens. The signal to the line 8 may be generated manually or also automatically in the control point, by for example switching the video smoke detection system periodically to a test mode. Due to the scattering effect of the filter 6 the image recorded by the camera 1 undergoes a reduction in contrast, which has a corresponding effect on the output signal of the camera 1 and thus on the input signal of the processor 2 and is interpreted by the processor as indicating the presence of smoke. If no alarm signal is triggered by the processor 2, the operating staff in the control point recognise that a fault has occurred.
In the smoke detection algorithm described in the aforementioned EP patent application no. 00128606.1 only those pixels whose contrast lies above a certain threshold value are involved in the evaluation. These pixels are investigated and an alarm is triggered if, within a certain specified time, the contrast in sufficiently many of the said pixels is reduced by a specific amount. In other words a contrast threshold is set and in this way the sensitivity of the system is adjusted to a practicable value. If a histogram of the contrast distribution with the contrast frequency is constructed compared to the contrast height (in percent), then at a contrast threshold of N% all pixels with a contrast height below the contrast threshold would be disregarded.
The testing/calibration of the system can now be carried out in a similar way and here too this contrast threshold can be used by designing the disc illustrated in Fig. 1 in such a way that it has three or four transparent regions, a fully transparent region and two or three regions with variously strongly scattering diffusers. For example, diffusers of the same material but with different thicknesses can be used.
Three diffusers may for example be chosen as follows: the contrast reduction produced by the first diffuser is so slight that only a small percentage of for example 10% of the observed pixels are below the threshold; the contrast effect produced by the second diffuser is such that an average proportion of for example 15 to of the observed pixels is below the contrast threshold; the contrast effect produced by the third diffuser is such that a relatively large proportion of for example at least 30% of the observed pixels is below the contrast threshold.
When swivelling the first diffuser the system must not trigger an alarm, when swivelling the second diffuser the system may trigger an alarm, and when swivelling the third diffuser the system must trigger an alarm. In this way the operator knows for certain that the system is adjusted to the selected contrast threshold. The use of several, variously strongly scattering diffusers is advantageous particularly in older tunnels with relatively dark walls.
The processor 2 of the video smoke detection system contains inter alia a decoder, in which connection decoders can be obtained in which the contrast can be adjusted.
When using such a decoder the testing/calibration procedure just described may be carried out electronically by for example visualising the said histogram on a screen and then reducing the contrast at the decoder until the curve shown in the histogram falls below the contrast threshold and thereby triggers an alarm.
This procedure would correspond exactly to the swivelling of the various diffusers. The displacement of the histogram curve on the screen when reducing the contrast of the decoder is carried out using an appropriate software tool.
In the embodiment illustrated in Fig. 2 the video signal between the output of the camera 1 and the input of the processor 2 is passed through a filter 9 and is electronically isolated. For this purpose the filter 9 has a pulse response such that the smoke detection algorithm reacts. For example the filter 9 may comprise a transfer function with horizontal and vertical low-pass filtering.
The switching of the video signal to the filter 9 is effected by means of a lead 10 connected to the control point.
In the embodiment illustrated in Fig. 3 a camera 1 with a motor-adjustable focal length is used, the focal length adjustment being identified by the reference numeral 11.
In order to carry out a function test or a calibration the focal length adjustment 11 receives a control signal via a 11 line 12 connected to the control point, which signal 2 effects a corresponding adjustment of the focal length.
r The fuzziness produced thereby corresponds to a contrast reduction in the video image of the camera 1.
Obviously the test device illustrated in Figs. 1 to 3 may 00 0h also be used by the manufacturer of the video smoke D detection system to test compliance with the specifications, in which connection such a test may also be C( 10 carried out at the factory within the framework of the 0 quality control. A further possible way of using the test device consists in temporarily removing the system after it has been installed. In this cast the test device enables the functional integrity of the installed system to be demonstrated to the customer.
It is to be understood that, if any prior art publication is referred to herein, such reference does not constitute an admission that the publication forms a part of the common general knowledge in the art, in Australia or any other country.
NA\Melboume\Cases\PatentO1000-51999\P5 161 SALSpecis\i51615 AU Specification 2007-2-16doc 16/02107
Claims (4)
1. Video smoke detection system with a camera for recording video images and a signal processing stage in which the brightness of the individual pixels or groups of pixels of the video images is 00 h determined, wherein a value that is representative of N the brightness of the pixels is obtained and its behaviour over time is investigated for the occurrence C1 10 of changes characteristic of smoke, characterised in 0 that in order to test the system the signal of the camera is influenced so that a change in the video signal that is characteristic of the occurrence of smoke can be simulated at the signal processing stage(2).
2. Video smoke detection system according to claim 1, characterised in that means are provided for reducing the contrast of the video signal.
3. Video smoke detection system according to claim 2, characterised in that the aforementioned means are formed by an optical filter that can be positioned in front of the camera lens.
4. Video smoke detection system according to claim 3, characterised in that the optical filter comprises a plurality of variously strongly scattering diffusers which can be positioned as desired in front of the camera lens.
1000-5 1999\P5 161 SAU\Spcis\P5161 AU Spcificanon 2007-2-16.doc 6/02107 Q 13 Video smoke detection system according to claim 2, characterised in that the aforementioned means comprise a decoder with adjustable contrast. 6. Video smoke detection system according to claim 2, characterised in that the aforementioned means are formed by an electronic filter that can be connected between the camera and signal processing stage (2) 7. Video smoke detection system according to claim 6, characterised in that the filter comprises a transfer function with vertical and horizontal filtering. 8. Video smoke detection system according to claim 2, characterised in that the aforementioned means comprise a device (11) for adjusting the focal length of the camera (1) 9. Video smoke detection system according to one of claims 2 to 8, characterised in that the aforementioned means can be actuated by remote control. Method for testing a video smoke detection system that comprises a camera for recording video images and a signal processing stage in which the brightness of the individual pixels or groups of pixels of the video images is determined and a value representative of the brightness of the pixels is obtained and its behaviour over time is investigated for the occurrence 14 of changes characteristic of smoke, characterised in that in order to test the system the signal of the camera is influenced so that a change of the video signal characteristic of the occurrence of smoke is simulated at the signal processing stage 00 0 11. Method according to claim 10, characterised in that ND the contrast of the video signal is reduced. (CN 10 12. Method according to claim 11, characterised in that 0 the contrast reduction is effected by arranging a diffuser in front of the camera 13. Method according to claim 11, characterised in that the contrast reduction is effected by electronically influencing the output signal of the camera 14. Method according to claim 11, characterised in that the contrast reduction is effected by adjusting the camera to give a fuzzy image. N.\Melboum\Cas\Patcnt\ 5000-S 1999\PS 1561 5AUSpeciPS 1615 AU Spccification 2007-2-16.doc 6/02107
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP01115143A EP1271444A1 (en) | 2001-06-22 | 2001-06-22 | Video smoke detecting system and method for testing the same |
| EP01115143.8 | 2001-06-22 | ||
| CH989/02 | 2002-06-10 | ||
| CH9892002 | 2002-06-10 | ||
| PCT/CH2002/000327 WO2003001187A1 (en) | 2001-06-22 | 2002-06-17 | Video smoke detection system and method for examining the same |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| AU2002312698A1 AU2002312698A1 (en) | 2003-06-19 |
| AU2002312698B2 true AU2002312698B2 (en) | 2007-03-22 |
Family
ID=25738848
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2002312698A Ceased AU2002312698B2 (en) | 2001-06-22 | 2002-06-17 | Video smoke detection system and method for examining the same |
Country Status (7)
| Country | Link |
|---|---|
| EP (1) | EP1407248B1 (en) |
| CN (1) | CN1325903C (en) |
| AT (1) | ATE467875T1 (en) |
| AU (1) | AU2002312698B2 (en) |
| DE (1) | DE50214430D1 (en) |
| HK (1) | HK1068681A1 (en) |
| WO (1) | WO2003001187A1 (en) |
Families Citing this family (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| IL149271A0 (en) | 1999-10-26 | 2002-11-10 | Plant Res Int Bv | Mammalian-type glycosylation in plants |
| NZ534881A (en) | 2002-03-19 | 2006-09-29 | Plant Res Internat B | Mammalian GnTIII expression in plants |
| KR101196023B1 (en) | 2002-03-19 | 2012-10-30 | 스티칭 디엔스트 랜드보위쿤디그 온데조에크 | Optimizing Glycan Processing in Plants |
| EP1498721A1 (en) * | 2003-07-15 | 2005-01-19 | ELMOS Semiconductor AG | Device for recognition of fog, especially for a vehicle |
| KR20090086898A (en) * | 2006-09-25 | 2009-08-14 | 지멘스 슈바이츠 악티엔게젤샤프트 | Detection of smoke with a video camera |
| AU2008237632B2 (en) | 2007-04-17 | 2014-01-16 | Stichting Dienst Landbouwkundig Onderzoek | Mammalian-type glycosylation in plants by expression of non-mammalian glycosyltransferases |
| DE202007013986U1 (en) | 2007-10-05 | 2008-02-07 | Cedes Ag | Device for controlling a driven movement element, in particular a door or a gate |
| CN101726357B (en) * | 2008-10-14 | 2014-01-08 | 能美防灾株式会社 | Smoke detecting apparatus |
| CN101373553B (en) * | 2008-10-23 | 2010-06-16 | 浙江理工大学 | Early-stage smog video detecting method capable of immunizing false alarm in dynamic scene |
| CN101751744B (en) * | 2008-12-10 | 2011-08-31 | 中国科学院自动化研究所 | Detection and early warning method of smoke |
| DE102013107263A1 (en) * | 2013-07-09 | 2015-01-15 | Kiekert Aktiengesellschaft | Vehicle camera device |
| CN107402582A (en) * | 2016-02-22 | 2017-11-28 | 蒋春花 | Smog Long Range Detecting and Ranging pollution sources are detected with unmanned plane, monitored |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH04352077A (en) * | 1991-05-29 | 1992-12-07 | Nkk Corp | Detector for emission of smoke or dust due to image processing |
| FR2696939A1 (en) * | 1992-10-16 | 1994-04-22 | Bertin & Cie | Method and device for rapid automatic detection of forest fires. |
| JPH11304582A (en) * | 1998-04-27 | 1999-11-05 | Hochiki Corp | Anomaly monitoring apparatus |
| WO2000023959A1 (en) * | 1998-10-20 | 2000-04-27 | Vsd Limited | Smoke detection |
| JP2001076157A (en) * | 1999-09-06 | 2001-03-23 | Osaka Gas Co Ltd | Device for detecting object as sort of smoke |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5568129A (en) * | 1994-09-08 | 1996-10-22 | Sisselman; Ronald | Alarm device including a self-test reminder circuit |
-
2002
- 2002-06-17 EP EP02737710A patent/EP1407248B1/en not_active Expired - Lifetime
- 2002-06-17 WO PCT/CH2002/000327 patent/WO2003001187A1/en active IP Right Grant
- 2002-06-17 AU AU2002312698A patent/AU2002312698B2/en not_active Ceased
- 2002-06-17 AT AT02737710T patent/ATE467875T1/en not_active IP Right Cessation
- 2002-06-17 CN CNB028124375A patent/CN1325903C/en not_active Expired - Fee Related
- 2002-06-17 DE DE50214430T patent/DE50214430D1/en not_active Expired - Lifetime
-
2005
- 2005-01-27 HK HK05100714A patent/HK1068681A1/en not_active IP Right Cessation
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH04352077A (en) * | 1991-05-29 | 1992-12-07 | Nkk Corp | Detector for emission of smoke or dust due to image processing |
| FR2696939A1 (en) * | 1992-10-16 | 1994-04-22 | Bertin & Cie | Method and device for rapid automatic detection of forest fires. |
| JPH11304582A (en) * | 1998-04-27 | 1999-11-05 | Hochiki Corp | Anomaly monitoring apparatus |
| WO2000023959A1 (en) * | 1998-10-20 | 2000-04-27 | Vsd Limited | Smoke detection |
| JP2001076157A (en) * | 1999-09-06 | 2001-03-23 | Osaka Gas Co Ltd | Device for detecting object as sort of smoke |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2003001187A1 (en) | 2003-01-03 |
| DE50214430D1 (en) | 2010-06-24 |
| ATE467875T1 (en) | 2010-05-15 |
| HK1068681A1 (en) | 2005-04-29 |
| CN1325903C (en) | 2007-07-11 |
| EP1407248A1 (en) | 2004-04-14 |
| CN1518663A (en) | 2004-08-04 |
| EP1407248B1 (en) | 2010-05-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| AU2002312698B2 (en) | Video smoke detection system and method for examining the same | |
| DE10011411C2 (en) | Imaging fire detector | |
| CN101334924B (en) | Fire detection system and fire detection method thereof | |
| US20050265584A1 (en) | Imaging systems and methods | |
| US20070247526A1 (en) | Camera Tamper Detection | |
| CN108717521A (en) | A kind of parking lot order management method and system based on image | |
| CN108537190A (en) | A kind of parking lot order managing device based on image | |
| KR100993205B1 (en) | System and method for detecting disaster occurrence | |
| CN108764166B (en) | System and method for detecting position state of civil air defense door based on supporting rod | |
| CN106710219A (en) | Parking space monitoring device | |
| KR100690279B1 (en) | Multipurpose video image detection system | |
| EP1184826B1 (en) | Device for the functional testing of a temperature sensor in a detector | |
| DE10319688A1 (en) | Device for the visual inspection of a smoke detector arranged in an aircraft | |
| JPH0517495B2 (en) | ||
| Krüll et al. | Design and test methods for a video-based cargo fire verification system for commercial aircraft | |
| DE102004034908A1 (en) | Smoke alarm system for aircraft, has camera module and smoke warning transmitter which are arranged in housing | |
| JP2003324726A (en) | Object detecting apparatus using supervisory camera | |
| JPH1144200A (en) | Road tunnel comprehensively monitoring control device | |
| JPH09207783A (en) | Railroad crossing monitor | |
| KR20230021564A (en) | Integral type cctv camera system for fine dust measuring apparatus with light scattering type | |
| JPH11125694A (en) | Integral monitoring system of nuclear power plant room | |
| CN109982040A (en) | A kind of safety defense monitoring system | |
| EP1271444A1 (en) | Video smoke detecting system and method for testing the same | |
| JP3960712B2 (en) | Combined monitoring device | |
| CA2979767C (en) | Systems and methods for window contamination detection |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| FGA | Letters patent sealed or granted (standard patent) | ||
| PC | Assignment registered |
Owner name: SIEMENS AKTIENGESELLSCHAFT Free format text: FORMER OWNER WAS: SIEMENS BUILDING TECHNOLOGIES AG |
|
| PC | Assignment registered |
Owner name: SIEMENS SCHWEIZ AG Free format text: FORMER OWNER WAS: SIEMENS AKTIENGESELLSCHAFT |
|
| MK14 | Patent ceased section 143(a) (annual fees not paid) or expired |