EP0849714B1 - Method for evaluating a signal of a motion detector - Google Patents
Method for evaluating a signal of a motion detector Download PDFInfo
- Publication number
- EP0849714B1 EP0849714B1 EP96120641A EP96120641A EP0849714B1 EP 0849714 B1 EP0849714 B1 EP 0849714B1 EP 96120641 A EP96120641 A EP 96120641A EP 96120641 A EP96120641 A EP 96120641A EP 0849714 B1 EP0849714 B1 EP 0849714B1
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- European Patent Office
- Prior art keywords
- signal
- motion detector
- frequency
- stored
- frequency spectra
- 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.)
- Expired - Lifetime
Links
- 238000000034 method Methods 0.000 title claims abstract description 14
- 230000033001 locomotion Effects 0.000 title claims description 34
- 238000001228 spectrum Methods 0.000 claims abstract description 35
- 238000010606 normalization Methods 0.000 claims abstract description 5
- 230000001131 transforming effect Effects 0.000 claims 1
- 230000002123 temporal effect Effects 0.000 description 8
- 238000011156 evaluation Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 5
- 238000009826 distribution Methods 0.000 description 5
- 238000005070 sampling Methods 0.000 description 5
- 230000003595 spectral effect Effects 0.000 description 5
- 230000001419 dependent effect Effects 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 230000009193 crawling Effects 0.000 description 1
- 230000006735 deficit Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
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Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
- G08B29/18—Prevention or correction of operating errors
- G08B29/185—Signal analysis techniques for reducing or preventing false alarms or for enhancing the reliability of the system
-
- 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
- G08B13/19—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 infrared-radiation detection systems
Definitions
- the invention relates to a method for evaluation a signal from a motion detector, in particular a passive infrared motion detector. With such motion detectors usually results for a recorded change characteristic signal curve.
- the invention relates continue to a motion detector that works according to the procedure.
- Motion detectors of the type described are usually in hazard detection technology and control technology of moving objects in an indoor or outdoor space used. This is done by a human body or infrared radiation emitted by another heat source bundled by optics and fed to a sensor.
- a motion detector is for capturing and evaluating dynamic changes designed. Even the smallest can be in its measuring range Changes in the beam flow or changes in temperature over time between the ambient temperature and the respective Surface temperature of the object can be detected.
- the invention has for its object a method and to develop a motion detector that is particularly immune to interference is and at the same time can be interpreted highly sensitive.
- the described task is solved with the method according to claim 1.
- the solution is also provided by a Motion detector according to claim 4.
- This is the Frequency spectrum from the temporal signal curve with stored, frequency spectrum typical of certain changes compared. Common false triggers are based on this principle avoided, even if fundamentally a sensitive one Tripping is set. In this way, one avoids the usual wrong switching due to drafts where the sensor would otherwise be dynamic Interpret temperature difference images with streaks as movement can. Such security against false tripping is particularly advantageous when a Sensor in the door area instead of an installation switch should be used to turn on lights when one Person enters the room.
- EP-A-107 042 describes a method and a motion detector known, in which the signal of the detector with stored reference signals is compared.
- the amplitude normalizer being a comparator can be connected downstream with memory.
- the frequency spectra can be formed in a frequency transformer, which is set up to receive an analog signal via its temporal waveform at successive times the Form frequency spectrum at the respective signal time.
- the invention is based on the finding that the different Occurring events characteristic waveforms can be assigned.
- Figure 1 is a standard circuit of optics, sensors, amplifiers and evaluation circuit illustrated.
- FIG 3 shows the signal curve in a diagram in the manner of FIG 2 shown for disturbances, left for drafts and right for a disturbance in the form of a so-called burst.
- FIG. 4 shows the implementation of the temporal signal curve in illustrates a frequency spectrum at successive times.
- FIG. 5 shows an assembly for a motion detector, consisting of a frequency transformer, Signal sampling device and a device for implementation in frequency spectra, with connected comparator, with a memory works in which typical frequency spectra for each typical temporal signal curve stored are.
- the device for carrying out the method according to FIG. 1 works with an optic 1, a sensor 2, an amplifier 3 and an evaluation device 4.
- the optics 1 detects processes in a certain angular space 5.
- the evaluation device 4 comes to detected changes a signal with a characteristic Waveform on.
- the temporal signal curve becomes a frequency spectrum at successive times won that with saved, for certain changes typical frequency spectra is compared.
- the frequency spectrum at a time of the waveform can be in each case undergo amplitude normalization in a known manner to be able to compare to scale.
- the respective Result of the comparison for agreement with the saved one Frequency spectrum can be used as a result signal for Display or for further processing at the output of the evaluation device 4 are provided.
- the components according to FIG. 1 can be accommodated in a motion detector.
- time range 6 is the temporal signal curve for a normal movement and in time range 7 for a quick movement, especially for a fast movement at close range.
- the voltage of the signal can be in the variation range 8. It an additional voltage limitation can be provided.
- FIG 3 shows typical diagrams in the manner of FIG Faults reproduced.
- the signal curve 9 is for detected Typical changes due to drafts.
- the signal course 10 is characteristic of a particular burst-type disturbance.
- Motion detectors are commonly used for their performance assigned to different classes.
- For devices in the class 1 is required that the amplified signals from outgoing or crawling people over a distance of 2 m with a Velocity between 0.2 m / s and 2 m / s can be detected.
- the values are 1.5 m / s and 0.5 m / s to 5 m / s.
- the speed limits are dependent signals differing in distance and focal length of the optics on sensor 2. Nevertheless, the signal curve points in time Dependency and what can be gained at any time Frequency spectrum a particularly characteristic course on. It has been shown that the frequency spectrum is special is characteristic.
- FIG 4 is a diagram with the coordinates for the Time t and for the frequency spectrum over the frequency f and for the amplitude of the voltage u the transformation of a temporal signal curve in the respective frequency spectrum illustrated in a time grid R1 to R101.
- the sampling rate to obtain the temporal grid points lies after an example at 50 ms.
- the focal length of the optics 1 is in this example at 6 mm.
- the frequency spectra were after FIG 4 achieved.
- the frequency transformer 11 has a signal sampling device 12 and a device 13 for implementation in Frequency spectra.
- the frequency spectra become a comparator 14 supplied, in its memory at typical time Typical waveforms for disturbance, movement and burst Frequency spectra are stored.
- the received signal is compared with the stored signal and one Type assigned.
- the method is based on the evaluation of the spectrum of a amplified signal from a sensor 2.
- spectral distributions become from the time domain to the frequency domain achieved, for example according to FIG 4, which one Can undergo amplitude normalization.
- the spectral distribution can then with typical stored spectral distributions be compared. It has a sufficient similarity shown with typical spectral distributions.
- Leave interference suppress each other well because each type of disorder is a special one Has spectral distribution that can be seen and for what you can cancel another evaluation.
- air movements in their waveform are emphasized low frequency and that a burst is a special one has a uniform spectrum. For example, generate Fluorescent bursts, being fluorescent of fluorescent Run out of disturbances.
- Assigned interference signals according to the regulations on electromagnetic compatibility, for example EMC standard IEC801 part 4, not to Lead to impairments.
- the emission of. via EMC compatibility Disruptions can be avoided.
- sampling rate A variation in the sampling rate and the number of considered values to be drawn allows the method and a motion detector to adapt to the given optics.
- the sampling rate should be in reasonable proportion to the bandwidth of the Amplifier.
Abstract
Description
Die Erfindung bezieht sich auf ein Verfahren zum Auswerten eines Signals eines Bewegungsmelders, insbesondere eines Passiv-Infrarot-Bewegungsmelders. Bei derartigen Bewegungsmeldern ergibt sich in der Regel für eine erfaßte Änderung ein charakteristischer Signalverlauf. Die Erfindung bezieht sich weiter auf einen Bewegungsmelder, der nach dem Verfahren arbeitet.The invention relates to a method for evaluation a signal from a motion detector, in particular a passive infrared motion detector. With such motion detectors usually results for a recorded change characteristic signal curve. The invention relates continue to a motion detector that works according to the procedure.
Bewegungsmelder der geschilderten Art werden üblicherweise in der Gefahrenmeldetechnik und in der Steuerungstechnik zum erfassen von bewegten Objekten in einem Innen- oder Außenraum eingesetzt. Dabei wird die von einem menschlichen Körper oder von einer anderen Wärmequelle abgegebene Infrarotstrahlung von einer Optik gebündelt und einem Sensor zugeführt. Ein Bewegungsmelder ist zum Erfassen und Auswerten dynamischer Änderungen ausgelegt. In seinen Meßbereich können auch kleinste Strahlenflußänderungen oder zeitliche Änderungen der Temperaturdifferenz zwischen der Umgebungstemperatur und der jeweiligen Oberflächentemperatur des Objektes detektiert werden.Motion detectors of the type described are usually in hazard detection technology and control technology of moving objects in an indoor or outdoor space used. This is done by a human body or infrared radiation emitted by another heat source bundled by optics and fed to a sensor. A motion detector is for capturing and evaluating dynamic changes designed. Even the smallest can be in its measuring range Changes in the beam flow or changes in temperature over time between the ambient temperature and the respective Surface temperature of the object can be detected.
Üblicherweise werden bei Bewegungsmeldern die am Sensor durch einen sich bewegenden thermisch strahlenden Körper erzeugten Potentialänderungen, die sehr gering sind, hoch verstärkt und auf Überschreiten einer oberen und bzw. oder einer unteren Auflösegrenze überwacht.In the case of motion detectors, they are usually checked on the sensor generated a moving thermally radiating body Potential changes that are very small, highly amplified and if an upper and / or a lower one is exceeded Resolution limit monitored.
In der Praxis erscheinen jedoch am Ausgang eines üblicherweise eingesetzten Niederfrequenz-Schmalbandverstärkers Signalanteile von Störungen, die beispielsweise durch Schaltvorgänge im angeschlossenen Stromnetz erzeugt und über den Sensor des Bewegungsmelders eingekoppelt werden. Derartige Störentkopplungen können zu unerwünschten Fehlauslösungen des Bewegungsmelders führen.In practice, however, one usually appears at the exit low-frequency narrowband amplifier used Signal components from disturbances, for example due to switching operations generated in the connected power grid and via the Sensor of the motion detector can be coupled. such Interference decoupling can lead to unwanted false tripping of the Lead motion detector.
Der Erfindung liegt die Aufgabe zugrunde, ein Verfahren und einen Bewegungsmelder zu entwickeln, der besonders störfest ist und zugleich hoch sensibel ausgelegt werden kann.The invention has for its object a method and to develop a motion detector that is particularly immune to interference is and at the same time can be interpreted highly sensitive.
Die Lösung der geschilderten Aufgabe erfolgt mit dem Verfahren
nach Patentanspruch 1. Die Lösung erfolgt auch durch einen
Bewegungsmelder nach Patentanspruch 4. Hierbei wird das
Frequenzspektrum aus dem zeitlichen Signalverlauf mit abgespeicherten,
für bestimmte Änderungen typischen Frequenzspektrum
verglichen. Nach diesem Prinzip werden übliche Fehlauslösungen
vermieden, auch wenn dem Grunde nach eine sensible
Auslösung eingestellt ist. So vermeidet man übliche Fehlschaltungen
durch Luftzug, bei denen sonst der Sensor dynamische
Temperaturdifferenzbilder bei Schlieren als Bewegung interpretieren
kann. Eine derartige Sicherheit gegen Fehlauslösungen
ist insbesondere dann besonders vorteilhaft, wenn ein
Sensor im Türbereich anstelle eines Installationsschalters
eingesetzt werden soll, um Leuchten einzuschalten, wenn eine
Person den Raum betritt.The described task is solved with the method
according to claim 1. The solution is also provided by a
Motion detector according to
Aus der EP-A-107 042 sind ein Verfahren und ein Bewegungsmelder bekannt, bei dem das Signal des Melders mit abgespeicherten Referenz-Signalen verglichen wird.EP-A-107 042 describes a method and a motion detector known, in which the signal of the detector with stored reference signals is compared.
Beim erfindungsgemäßen Verfahren kann man die zu jeweiligen Zeitpunkten gewonnenen Frequenzspektren in ihrem Signalverlauf in üblicher Weise einer Amplitudennormierung unterziehen. Es lassen sich dann typische Signalverläufe besonders gut vergleichen. Ein danach arbeitender Bewegungsmelder ist besonders vorteilhaft, wobei dem Amplitudennormierer ein Vergleicher mit Speicher nachgeschaltet sein kann. Die Frequenzspektren lassen sich in einem Frequenztransformator bilden, der dafür eingerichtet ist, ein analoges Signal über seinen zeitlichen Signalverlauf zu nacheinanderfolgenden Zeiten das Frequenzspektrum zum jeweiligen Signalzeitpunkt zu bilden. In the method according to the invention, the respective Frequency spectra obtained in their signal curve at times subject to an amplitude normalization in the usual way. Typical signal profiles can then be identified compare well. A motion detector working after this is particularly advantageous, the amplitude normalizer being a comparator can be connected downstream with memory. The frequency spectra can be formed in a frequency transformer, which is set up to receive an analog signal via its temporal waveform at successive times the Form frequency spectrum at the respective signal time.
Der Erfindung liegt die Erkenntnis zugrunde, daß den verschiedenartig vorkommenden Ereignissen charakteristische Signalverläufe zugeordnet werden können.The invention is based on the finding that the different Occurring events characteristic waveforms can be assigned.
Vorteilhafte Ausgestaltungen sind Gegenstand der Unteransprüche.Advantageous refinements are the subject of the dependent claims.
Die Erfindung soll nun anhand von in der Zeichnung grob schematisch wiedergegebenen Ausführungsbeispielen näher erläutert werden:The invention will now be described roughly schematically in the drawing reproduced embodiments explained in more detail become:
In FIG 1 ist eine Standardschaltung aus Optik, Sensor, Verstärker und Auswerteschaltung veranschaulicht.In Figure 1 is a standard circuit of optics, sensors, amplifiers and evaluation circuit illustrated.
In FIG 2 ist der Signalverlauf in einem Zeit-Spannungs-Diagramm für zwei Bewegungsarten wiedergegeben: einer normalen Bewegung und einer schnellen Bewegung, insbesondere im Nahbereich.2 shows the signal curve in a time-voltage diagram reproduced for two types of movement: a normal one Movement and a quick movement, especially in the Close range.
In FIG 3 ist der Signalverlauf in einem Diagramm nach Art von FIG 2 für Störungen dargestellt, links für Luftzug und rechts für eine Störung in Form eines sogenannten Bursts.3 shows the signal curve in a diagram in the manner of FIG 2 shown for disturbances, left for drafts and right for a disturbance in the form of a so-called burst.
In FIG 4 ist die Umsetzung des zeitlichen Signalverlaufs in ein Frequenzspektrum zu aufeinanderfolgenden Zeiten veranschaulicht.4 shows the implementation of the temporal signal curve in illustrates a frequency spectrum at successive times.
In FIG 5 ist eine Baugruppe für einen Bewegungsmelder veranschaulicht, bestehend aus einem Frequenztransformator, aus Signalabtasteinrichtung und einer Einrichtung zur Umsetzung in Frequenzspektren, mit angeschlossenem Vergleicher, der mit einem Speicher arbeitet, in dem typische Frequenzspektren zum jeweils typischen zeitlichen Signalverlauf abgespeichert sind. 5 shows an assembly for a motion detector, consisting of a frequency transformer, Signal sampling device and a device for implementation in frequency spectra, with connected comparator, with a memory works in which typical frequency spectra for each typical temporal signal curve stored are.
Die Einrichtung zur Durchführung des Verfahrens nach FIG 1
arbeitet mit eine Optik 1, einem Sensor 2, einem Verstärker 3
und einer Auswerteeinrichtung 4. Die Optik 1 erfaßt Vorgänge
in einem bestimmten Winkelraum 5. In der Auswerteeinrichtung
4 kommt zu erfaßten Änderungen ein Signal mit charakteristischem
Signalverlauf an. Aus dem zeitlichen Signalverlauf wird
zu aufeinanderfolgenden Zeiten jeweils ein Frequenzspektrum
gewonnen, das mit abgespeicherten, für bestimmte Änderungen
typischen Frequenzspektren verglichen wird. Das Frequenzspektrum
zu einem Zeitpunkt des Signalverlaufs kann jeweils in an
sich bekannter Weise einer Amplitudennormierung unterzogen
werden, um maßstabsgerecht vergleichen zu können. Das jeweilige
Ergebnis des Vergleichs auf Übereinstimmung mit dem abgespeicherten
Frequenzspektrum kann als Ergebnissignal für
Anzeigen oder für Weiterverarbeitung am Ausgang der Auswerteeinrichtung
4 bereitgestellt werden. Die Bauteile nach FIG 1
können in einem Bewegungsmelder untergebracht sein.The device for carrying out the method according to FIG. 1
works with an optic 1, a
Im Diagramm nach FIG 2 ist auf der Abszisse die Zeit t und
auf der Ordinate die Spannung u abgetragen. Im Zeitbereich 6
ist der zeitliche Signalverlauf für eine normale Bewegung und
im Zeitbereich 7 für eine schnelle Bewegung, insbesondere für
eine schnelle Bewegung im Nahbereich, veranschaulicht. Die
Spannung des Signals kann im Variationsbereich 8 liegen. Es
kann eine zusätzliche Spannungsbegrenzung vorgesehen sein.In the diagram according to FIG. 2, the time t and is on the abscissa
the voltage u is plotted on the ordinate. In
In FIG 3 sind in einem Diagramm nach Art von FIG 2 typische
Störungen wiedergegeben. Der Signalverlauf 9 ist für erfaßte
Änderungen infolge von Luftzug typisch. Der Signalverlauf 10
ist für eine bestimmte Störung nach Art eines Bursts charakteristisch.3 shows typical diagrams in the manner of FIG
Faults reproduced. The
Bewegungsmelder werden üblicherweise hinsichtlich ihrer Leistung
verschiedenen Klassen zugeordnet. Bei Geräten der Klasse
1 wird verlangt, daß die verstärkten Signale von gehenden
oder kriechenden Personen über einen Weg von 2 m mit einer
Geschwindigkeit zwischen 0,2 m/s und 2 m/s detektiert werden.
In der Klasse 2 liegen die Werte bei 1,5 m/s und 0,5 m/s bis
5 m/s. Die Geschwindigkeitsgrenzen bewirken in Abhängigkeit
von Entfernung und Brennweite der Optik verschiedenartige Signale
am Sensor 2. Dennoch weist der Signalverlauf in zeitlicher
Abhängigkeit und das zu jedem Zeitpunkt zu gewinnende
Frequenzspektrum einen besonders charakteristischen Verlauf
auf. Es hat sich gezeigt, daß das Frequenzspektrum besonders
charakteristisch ist.Motion detectors are commonly used for their performance
assigned to different classes. For devices in the class
1 is required that the amplified signals from outgoing
or crawling people over a distance of 2 m with a
Velocity between 0.2 m / s and 2 m / s can be detected.
In
In FIG 4 ist in einem Diagramm mit den Koordinaten für die Zeit t und für das Frequenzspektrum über die Frequenz f und für die Amplitude der Spannung u die Transformation eines zeitlichen Signalverlaufs in das jeweilige Frequenzspektrum in einem Zeitraster R1 bis R101 veranschaulicht. Die Abtastrate zur Gewinnung der zeitlichen Rasterpunkte liegt nach einem Beispiel bei 50 ms. Die Brennweite der Optik 1 liegt in diesem Beispiel bei 6 mm. Es wurden die Frequenzspektren nach FIG 4 erzielt.4 is a diagram with the coordinates for the Time t and for the frequency spectrum over the frequency f and for the amplitude of the voltage u the transformation of a temporal signal curve in the respective frequency spectrum illustrated in a time grid R1 to R101. The sampling rate to obtain the temporal grid points lies after an example at 50 ms. The focal length of the optics 1 is in this example at 6 mm. The frequency spectra were after FIG 4 achieved.
Nach FIG 5 weist der Frequenztransformator 11 eine Signalabtasteinrichtung
12 und eine Einrichtung 13 zur Umsetzung in
Frequenzspektren auf. Die Frequenzspektren werden einem Vergleicher
14 zugeführt, in dessen Speicher zu typischen zeitlichen
Signalverlaufen für Störung, Bewegung und Burst typische
Frequenzspektren abgespeichert sind. Das empfangene Signal
wird mit dem abgespeicherten Signal verglichen und einem
Typ zugeordnet.According to FIG. 5, the
Das Verfahren beruht auf der Auswertung des Spektrums eines
verstärkten Signals eines Sensors 2. Durch die Transformation
vom Zeitbereich in den Frequenzbereich werden Spektralverteilungen
erzielt, beispielsweise nach FIG 4, die man einer
Amplitudennormierung unterziehen kann. Die Spektralverteilung
kann dann mit typischen gespeicherten Spektralverteilungen
verglichen werden. Es hat sich eine ausreichende Ähnlichkeit
mit typischen Spektralverteilungen gezeigt. Störungen lassen
sich gut unterdrücken, da jeder Typ von Störung eine besondere
Spektralverteilung aufweist, die man erkennen kann und wofür
man eine weitere Auswertung abbrechen kann. Allgemein
kann man sagen, daß Luftbewegungen in ihrem Signalverlauf
niederfrequent betont sind und daß ein Burst ein besonders
gleichförmiges Spektrum aufweist. So erzeugen beispielsweise
Leuchtstofflampen Bursts, wobei von Leuchtstofflampen elektromagnetische
Störungen ausgehen. Zugeordnete Störsignale
sollen nach den Vorschriften über die elektromagnetische Verträglichkeit,
beispielsweise EMV-Norm IEC801 Teil 4, nicht zu
Beeinträchtigungen führen. Andererseits soll nach den Bestimmungen
über die EMV-Verträglichkeit auch das Aussenden von
Störungen vermieden werden.The method is based on the evaluation of the spectrum of a
amplified signal from a
Eine Variation der Abtastrate und der Anzahl der in Betracht zu ziehenden Werte ermöglicht es, das Verfahren und einen Bewegungsmelder an die gegebene Optik anzupassen. Die Abtastrate sollte in einem vernünftigen Verhältnis zur Bandbreite des Verstärkers liegen.A variation in the sampling rate and the number of considered values to be drawn allows the method and a motion detector to adapt to the given optics. The sampling rate should be in reasonable proportion to the bandwidth of the Amplifier.
Claims (7)
- Device for evaluating a signal of a motion detector (16), in particular a passive infrared motion detector, in which a characteristic chronological signal course for a detected change is generated, wherein from the chronological signal course at successive times a frequency spectrum is formed in each case, which is compared with stored frequency spectra typical of specific changes.
- Method according to claim 1, characterised in that the frequency spectrum (15) at a point in time of a signal course is subjected to amplitude normalisation and then compared with stored frequency spectra.
- Method according to claim 1 or 2, characterised in that the respective result of the comparison for matching with the stored frequency spectra is provided as a result signal for displays or further processing.
- Motion detector, which generates a characteristic signal course for the motion of detectable objects, characterised in that, to form frequency spectra via the chronological signal course with connected amplitude normaliser, connected downstream a frequency transformer (11) is a comparator (14) with memory, in which typical frequency spectra for typical chronological signal courses are stored.
- Motion detector according to claim 4, characterised in that result signals for display or further processing are provided at the result output of the comparator.
- Motion detector according to claim 4, characterised in that the frequency transformer (11) is arranged to form an analogue signal via a chronological signal course at successive times the frequency spectrum (15) at the respective signal time.
- Motion detector according to claim 6, characterised in that the frequency transformer (11) has a signal-scanning device (12) and a device (13) for transforming into frequency spectra.
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AT96120641T ATE216524T1 (en) | 1996-12-20 | 1996-12-20 | METHOD FOR EVALUating A SIGNAL FROM A MOTION DETECTOR AND MOTION DETECTOR |
| DE59609097T DE59609097D1 (en) | 1996-12-20 | 1996-12-20 | Method for evaluating a signal from a motion detector and motion detector |
| EP96120641A EP0849714B1 (en) | 1996-12-20 | 1996-12-20 | Method for evaluating a signal of a motion detector |
| DK96120641T DK0849714T3 (en) | 1996-12-20 | 1996-12-20 | Method for analyzing a signal from a motion detector and motion detector |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP96120641A EP0849714B1 (en) | 1996-12-20 | 1996-12-20 | Method for evaluating a signal of a motion detector |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| EP0849714A1 EP0849714A1 (en) | 1998-06-24 |
| EP0849714B1 true EP0849714B1 (en) | 2002-04-17 |
Family
ID=8223533
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP96120641A Expired - Lifetime EP0849714B1 (en) | 1996-12-20 | 1996-12-20 | Method for evaluating a signal of a motion detector |
Country Status (4)
| Country | Link |
|---|---|
| EP (1) | EP0849714B1 (en) |
| AT (1) | ATE216524T1 (en) |
| DE (1) | DE59609097D1 (en) |
| DK (1) | DK0849714T3 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102004048995A1 (en) * | 2004-10-04 | 2006-04-13 | Siemens Ag | Earth atmosphere penetrating cosmic object detection procedure compares infrared sensor temperature images with and without cosmic object |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2447940B (en) * | 2007-03-28 | 2012-04-04 | Thales Holdings Uk Plc | A motion classification device |
| CN107067608B (en) * | 2017-05-19 | 2019-03-05 | 中国电子科技集团公司第四十一研究所 | A kind of effective vibrational waveform intercept method based on three-level threshold determination |
| DE102017221656A1 (en) * | 2017-12-01 | 2019-06-06 | Zumtobel Ag | Motion detection of objects by means of motion detectors |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0107042B1 (en) * | 1982-10-01 | 1987-01-07 | Cerberus Ag | Infrared detector for spotting an intruder in an area |
| GB2201770B (en) * | 1987-01-15 | 1990-11-14 | Racal Guardall | Security sensors |
| US6310963B1 (en) * | 1994-09-30 | 2001-10-30 | Sensormatic Electronics Corp | Method and apparatus for detecting an EAS (electronic article surveillance) marker using wavelet transform signal processing |
-
1996
- 1996-12-20 AT AT96120641T patent/ATE216524T1/en not_active IP Right Cessation
- 1996-12-20 DK DK96120641T patent/DK0849714T3/en active
- 1996-12-20 DE DE59609097T patent/DE59609097D1/en not_active Expired - Fee Related
- 1996-12-20 EP EP96120641A patent/EP0849714B1/en not_active Expired - Lifetime
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102004048995A1 (en) * | 2004-10-04 | 2006-04-13 | Siemens Ag | Earth atmosphere penetrating cosmic object detection procedure compares infrared sensor temperature images with and without cosmic object |
Also Published As
| Publication number | Publication date |
|---|---|
| DE59609097D1 (en) | 2002-05-23 |
| EP0849714A1 (en) | 1998-06-24 |
| ATE216524T1 (en) | 2002-05-15 |
| DK0849714T3 (en) | 2002-08-12 |
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