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WO2016088943A1 - Procédé et dispositif de détection d'intrusion dans un système de sécurité d'habitation intelligente - Google Patents

Procédé et dispositif de détection d'intrusion dans un système de sécurité d'habitation intelligente Download PDF

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Publication number
WO2016088943A1
WO2016088943A1 PCT/KR2015/002884 KR2015002884W WO2016088943A1 WO 2016088943 A1 WO2016088943 A1 WO 2016088943A1 KR 2015002884 W KR2015002884 W KR 2015002884W WO 2016088943 A1 WO2016088943 A1 WO 2016088943A1
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WIPO (PCT)
Prior art keywords
received signal
signal strength
change
wireless
probability
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Ceased
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PCT/KR2015/002884
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English (en)
Korean (ko)
Inventor
김현국
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
S-1 Corp
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S-1 Corp
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Priority claimed from KR1020140174034A external-priority patent/KR101735780B1/ko
Priority claimed from KR1020150034619A external-priority patent/KR101687013B1/ko
Application filed by S-1 Corp filed Critical S-1 Corp
Publication of WO2016088943A1 publication Critical patent/WO2016088943A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/22—Electrical actuation
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems

Definitions

  • the present invention relates to a method and apparatus for detecting an intrusion in a smart home security system.
  • Smart home security system is a system that detects anti-theft or unauthorized intruders in the home.
  • a plurality of security sensors for example, a hot wire sensor, a sound wave sensor, an infrared sensor, etc.
  • a controller for control. Then, the cost of installing these sensors and controllers increases, which puts pressure on the consumer.
  • the problem to be solved by the present invention is to provide a method and apparatus that can detect the intrusion without installing a separate security sensor.
  • a method for detecting an intruder by an intrusion detecting device that performs wireless communication with a first wireless device and a second wireless device, respectively.
  • the method includes measuring a first received signal strength, the strength of a signal received from the first wireless device, measuring a second received signal strength, the strength of a signal received from the second wireless device, Calculating a received signal strength change value using the first received signal strength and the second received signal strength, calculating a received signal strength change probability using the received signal strength change value, and receiving the received signal
  • the method may include determining whether the intruder is invasive by comparing a signal strength change probability with a predetermined threshold.
  • the intrusion detection device may perform wireless communication with a third wireless device, and the method may further include measuring a third received signal strength, which is a strength of a signal received from the third wireless device,
  • the calculating of the received signal strength change value may include calculating the received signal strength change value by using the first to third received signal strengths.
  • the determining may include determining that the intruder is invading when the probability of change of the received signal strength is greater than the threshold.
  • the received signal strength change value may be a value obtained by subtracting an average value from the first received signal strength and the second received signal strength, respectively.
  • the received signal strength change probability may satisfy the following equation, In the above equation, N is the total number of wireless devices including the first and second wireless devices, z is the received signal strength change value, Represents the covariance of z Can be.
  • the calculating of the received signal strength change probability may include calculating the received signal strength change probability using the square of the change value of the received signal strength and the variance of the received signal strength.
  • the first wireless device may be a ZigBee device and the second wireless device may be a wireless LAN device.
  • the intrusion detection device may be a smart gateway, and the first and third wireless devices may be ZigBee devices, and the second wireless device may be WLAN devices.
  • the intrusion detection device may be a terminal, the first wireless device may be a base station, the second wireless device may be a WLAN AP, and the third wireless device may be a Bluetooth device.
  • the method may further include transmitting an intrusion notification to the control server when it is determined that the intruder has intruded in the determining step.
  • an intrusion detection apparatus may include an RF receiver configured to receive signals transmitted from a plurality of wireless devices, a received signal strength measurer configured to measure a received signal strength that is the strength of the received signal, and the measured received signal strength.
  • a received signal strength change value calculator for calculating a received signal strength change value, a probability calculator for calculating a received signal strength change probability using the received signal strength change value, and the received signal strength change probability and a predetermined threshold value By comparing the, it may include an intrusion determination unit for determining the intruder.
  • the intrusion determining unit may determine that the intruder enters when the probability of change of the received signal strength is greater than the threshold value.
  • the received signal strength change value calculator may calculate the received signal strength change value by subtracting an average value from the measured received signal strengths, respectively.
  • the received signal strength change probability may satisfy the following equation, In the above equation, N is the total number of wireless devices including the first and second wireless devices, z is the received signal strength change value, Represents the covariance of z Can be.
  • the received signal strength change probability may correspond to a square of the received signal strength change value and the variance of the measured received signal strength.
  • the plurality of wireless devices may include a ZigBee device and a wireless LAN device.
  • the plurality of wireless devices may include a base station, a WLAN AP, and a Bluetooth device.
  • an intruder is invasive by measuring a received signal strength of a signal received from a wireless device without a separate security sensor.
  • FIG. 1 is a view showing a smart home security system according to an embodiment of the present invention.
  • FIG. 2 is a diagram illustrating a smart home security system according to another embodiment of the present invention.
  • FIG. 3 is a diagram illustrating a method of determining intrusion through received signal strength according to an embodiment of the present invention.
  • FIG. 4 is a diagram illustrating an intrusion detecting apparatus for determining whether an intrusion is made through received signal strength according to an exemplary embodiment of the present invention.
  • a terminal may be a mobile terminal (MT), a mobile station (MS), an advanced mobile station (AMS), a high reliability mobile station (HR-MS). ), A subscriber station (SS), a portable subscriber station (PSS), an access terminal (AT), a user equipment (UE), or the like. It may include all or part of the functionality of AMS, HR-MS, SS, PSS, AT, UE, and the like.
  • a base station may be an advanced base station (ABS), a high reliability base station (HR-BS), a node B (node B), an advanced node B (evolved node B, eNodeB), access point (AP), radio access station (RAS), base transceiver station (BTS), mobile multihop relay (MMR) -BS, relay serving as a base station station, RS), a high reliability relay (HR-RS) serving as a base station, etc., and may also refer to ABS, Node B, eNodeB, AP, RAS, BTS, MMR-BS, RS, HR. It may include all or part of functions such as -RS.
  • Smart home security system easily analyzes the intrusion by using a base station, a wireless LAN (WiFi), Bluetooth, ZigBee, Z-wave, a terminal that is a widely used wireless heterogeneous system can do.
  • the smart home security system detects the intrusion by synthesizing a wireless heterogeneous signal.
  • FIG. 1 is a view showing a smart home security system according to an embodiment of the present invention.
  • the smart home security system includes a base station 100, a wireless LAN AP (Access Point) 200, a Bluetooth device 300, a terminal 400, a gateway 500, and The control server 600 is included.
  • a base station 100 a wireless LAN AP (Access Point) 200
  • a Bluetooth device 300 a Bluetooth device 300
  • terminal 400 a terminal 400
  • gateway 500 a gateway 500
  • the control server 600 is included.
  • the base station 100 performs cellular communication for transmitting and receiving signals with the terminal 400 belonging to the base station.
  • the base station 100 according to an exemplary embodiment of the present invention transmits a pilot signal S1 for measuring received signal strength (RSS) at regular time intervals.
  • the pilot signal S1 for RSS measurement may be a pilot signal specifically transmitted by the base station 100 for smart home security or may be a pilot signal used for general signal transmission.
  • the WLAN AP 200 performs Wi-Fi communication with the terminal 400.
  • the WLAN AP 200 according to an embodiment of the present invention transmits a pilot signal S2 for RSS measurement at regular time intervals.
  • the pilot signal S2 for measuring RSS may be a pilot signal specifically transmitted by the WLAN AP 200 for smart home security or may be a pilot signal used for general signal transmission.
  • the Bluetooth device 300 performs Bluetooth communication with the terminal 400.
  • FIG. 1 shows that the Bluetooth device 300 is installed in the TV, it can be installed in other home devices besides the TV.
  • the Bluetooth device 300 transmits a pilot signal S3 for RSS measurement at regular time intervals.
  • the pilot signal S3 for RSS measurement may be a pilot signal specifically transmitted by the Bluetooth device 300 for smart home security or may be a pilot signal used for general signal transmission.
  • the terminal 400 measures the strength (RSS) of the received signal for the pilot signal S1 received from the base station 100 and the strength of the received signal for the pilot signal S2 received from the WLAN AP 200 ( Measure RSS). In addition, the terminal 400 measures the strength (RSS) of the received signal with respect to the pilot signal S3 received from the Bluetooth device 300.
  • the terminal 400 synthesizes and analyzes the strength of the received signal measured through the pilot signals received from the wireless heterogeneous devices 100, 200, and 300, and determines whether an intruder enters through the signal analysis.
  • the terminal 400 may be a smartphone capable of 3G communication or LTE communication, and equipped with a Bluetooth communication module and a wireless LAN communication module.
  • the signal transmitted between the base station 100 and the terminal 400 has a substantially constant value (RSS) of the received signal when there is no intrusion. However, if there is an intrusion, the received signal strength (RSS) has a large fluctuation range. In addition, the intrusion of the received signal strength (RSS) of the signal transmitted between the WLAN AP 200 and the terminal 400, and the received signal strength (RSS) of the signal transmitted between the Bluetooth device 300 and the terminal 400 is also invasive. If present, it has a large variation.
  • the terminal 400 determines whether an intruder enters by using the fluctuation range of the received signal strength RSS.
  • the terminal 400 transmits the intrusion information to the base station 100 when it is determined that the intruder has invaded using the fluctuation range of the received signal strength RSS, and the base station 100 transmits the intrusion information to the gateway 500 again. Transmit to the control server 600 through.
  • the intrusion information transmitted to the control server 600 the control agent finally confirms, the control agent may dispatch to confirm the site situation or contact the police.
  • FIG. 2 is a diagram illustrating a smart home security system according to another embodiment of the present invention.
  • the smart home security system includes a smart gateway 700, a ZigBee device 800, 800 ′, 800 ′′, a WLAN device 900, and a gateway 500. And a control server 600.
  • the smart gateway 700 includes a ZigBee communication module and a Wi-Fi communication module therein.
  • the smart gateway 700 performs short-range communication with the Zigbee devices 800, 800 ', and 800' 'through the internal ZigBee communication module.
  • the smart gateway 700 communicates with the WLAN device 900 through an internal Wi-Fi (Wireless LAN) communication module.
  • Wi-Fi Wireless LAN
  • the ZigBee devices 800, 800 ′, and 800 ′′ perform ZigBee communication with the smart gateway 700, respectively.
  • the Zigbee devices 800, 800 ′, 800 ′′ according to an embodiment of the present invention transmit the pilot signals S4, S4 ′, S4 ′′ for RSS measurement to the smart gateway 700 at regular time intervals, respectively.
  • the pilot signals S4, S4 ', and S4 " for RSS measurement may be pilot signals that the ZigBee devices 800, 800', and 800 " transmit specifically for smart home security, and are used for general signal transmission. It may be a pilot signal.
  • the ZigBee device 800 may be installed in an air conditioner, the Zibee device 800 'may be installed in a boiler, and the ZigBee device 800' 'may be installed in a refrigerator. Meanwhile, unlike FIG. 2, the ZigBee devices 800, 800 ′, and 800 ′′ may be installed in different home appliances, respectively. In FIG. 2, ZigBee devices 800, 800 ′, and 800 ′′ are illustrated as local area communication devices, but a Z-Wave device may be used.
  • the WLAN device 900 performs Wi-Fi communication with the smart gateway 700.
  • the WLAN apparatus 900 according to an embodiment of the present invention transmits a pilot signal S5 for RSS measurement at regular time intervals.
  • the pilot signal S5 for measuring the RSS may be a pilot signal specifically transmitted by the WLAN apparatus 900 for smart home security or may be a pilot signal used for general signal transmission.
  • FIG. 2 shows that the WLAN apparatus 900 is installed in the TV, it can be installed in other home devices besides the TV.
  • the smart gateway 700 measures the strength (RSS) of the received signal for the pilot signals S4, S4 ', and S4 " received from each ZigBee device (800, 800', 800 ").
  • the gateway 700 measures the strength (RSS) of the received signal with respect to the pilot signal S5 received from the WLAN device 900.
  • the terminal 400 is a wireless heterogeneous type 800, 800 ', 800' ', The strength of the received signal measured by the pilot signal received from the 900 is synthesized and analyzed, and the signal analysis determines whether the intruder is invading.
  • the signal transmitted between the smart gateway 700 and each ZigBee device 800, 800 ′, 800 ′′ has a substantially constant value (RSS) of the received signal when there is no intrusion. However, if there is an intrusion, the received signal strength (RSS) has a large fluctuation range. In addition, the received signal strength (RSS) of the signal transmitted between the smart gateway 700 and the WLAN device 900 also has a large fluctuation range in case of intrusion.
  • the smart gateway 700 determines whether an intruder enters by using the fluctuation range of the received signal strength RSS.
  • the smart gateway 700 transmits the intrusion information to the gateway 500 when it is determined that the intruder has invaded using the fluctuation range of the received signal strength (RSS), and the gateway 500 transmits the intrusion information to the control server 600. To send.
  • the intrusion information transmitted to the control server 600 the control agent finally confirms, the control agent may dispatch to confirm the site situation or contact the police.
  • the terminal 400 or the smart gateway 700 measures and analyzes the received signal strength (RSS) transmitted from each wireless device
  • RSS received signal strength
  • FIG. 3 for convenience of description, a method of determining whether an intrusion is performed by the smart gateway 700 will be described. However, the following description may be applied to a method of determining whether an intrusion is performed by the terminal 400.
  • the ZigBee devices 800, 800 ′, 800 ′′ and the wireless LAN device 900 will be collectively described as “wireless devices”.
  • FIG. 3 is a diagram illustrating a method of determining intrusion through received signal strength according to an embodiment of the present invention.
  • the smart gateway 700 measures a received signal strength (RSS) for a signal received from each wireless device (800, 800 ', 800' ', 900) (S310). That is, the smart gateway 700 measures the received signal strength (RSS) of the pilot signal received from each ZigBee device (800, 800 ', 800' '), and measures the pilot signal received from the WLAN device (900). The received signal strength (RSS) is measured.
  • RSS received signal strength
  • the measured received signal strength (RSS) is expressed by a formula below. same.
  • y N represents the received signal strength measured by the smart gateway 700 through the signal received from the Nth wireless device.
  • y N may be represented by received signal strength rss N and measured noise n N. It is assumed that the received signal strength rss N has a Gaussian distribution of N (mu N , ⁇ N 2 ). Where mu N is the mean value and sigma N is the standard deviation. When intrusion occurs, sigma N 2 has a very small value, but when intrusion occurs, it has a very large value.
  • the smart gateway 700 calculates a change value of the received signal strength (RSS) excluding a constant average value from the measured received signal strength (RSS) value (S320).
  • RSS received signal strength
  • S320 measured received signal strength
  • Z in Equation 2 represents the RSS change value, Represents the average value of RSS.
  • Average value ( ) Is a predetermined value through an experimental method.
  • the smart gateway 700 calculates an RSS change probability using the RSS change value z calculated in step S320 (S330). Assuming that Equation 2 has a multivariate Gaussian distribution, the probability of RSS change for the case of no intruder intrusion (H 0 ) is given by Equation 3 below. The distributions are independent but may have different variances due to the environmental characteristics of the area in which each wireless device is installed.
  • Equation 3 Denotes the covariance of the RSS change value (z), Can be expressed as When there is an intruder's intrusion (H 1 ) is the same except that H 0 is replaced by H 1 in the equation (3).
  • Equation 3 Since each wireless device has independent statistical characteristics, Equation 3 can be simply expressed as Equation 4 below.
  • the RSS change probability ( ) Is the square of the change in RSS for each wireless device ( ) ), And the sum of all wireless devices. That is, utilizing Equation 4, the RSS change probability can be simply calculated. Where the square of the RSS change value ( ) Corresponds to a power change value of a signal received from each wireless device.
  • the smart gateway 700 calculates a threshold value ( ⁇ ) used to determine whether an intruder is invading (S340).
  • the RSS change probability may be simply calculated, and the threshold value ⁇ may be calculated based on a desired misinformation.
  • the threshold value ⁇ may be calculated with a low calculation amount. Meanwhile, by the user, the threshold value ⁇ may be calculated in advance and set in the smart gateway 700.
  • Smart gateway 700 is the probability of RSS change approximated by Equation 4 ( ) And the threshold value ( ⁇ ) to determine whether the intruder invaded (S350).
  • the smart gateway 700 can determine the RSS change probability ( Is larger than the threshold value?, It is determined that an intrusion has occurred.
  • the smart gateway 700 is the RSS change probability ( If) is equal to or smaller than the threshold value ⁇ , it is determined that no intrusion has occurred and the step S310 is performed (S350, S310). This is expressed mathematically as shown in Equation 5 below.
  • the smart gateway 700 determines that the intruder has intruded in step S350, the smart gateway 700 generates an intrusion alarm, and transmits the intrusion alarm to the control server 600 (S260 and S270).
  • the smart gateway 700 transmits the intrusion alarm to the gateway 500, and the gateway 500 transmits the intrusion alarm to the control server 600.
  • the intrusion information transmitted to the control server 600, the control agent finally confirms, the control agent may dispatch to confirm the site situation or contact the police.
  • FIG. 4 is a diagram illustrating an intrusion detecting apparatus 1000 that determines whether an intrusion is made through a received signal strength according to an exemplary embodiment of the present invention.
  • the device 1000 of FIG. 4 corresponds to the terminal 400 of FIG. 1 or the smart gateway 700 of FIG. 2.
  • the intrusion detecting apparatus 1000 includes an RF receiver 1100, an RSS measuring unit 1200, an RSS change value calculating unit 1300, a probability calculating unit 1400, And a threshold calculator 1500 and an intrusion determiner 1600.
  • the RF receiver 1100 receives a signal transmitted from each wireless device.
  • each wireless device corresponds to the base station 100 of FIG. 1, the WLAN AP 200, and the Bluetooth device 300, or the ZigBee devices 800, 800 ′, 800 ′′ of FIG. 2, and the WLAN device 900. Corresponds to).
  • the RSS measuring unit 1200 measures a received signal strength RSS for the signal received by the RF receiving unit 1100.
  • the method of measuring the RSSI by the RSS measuring unit 1200 may be understood by those skilled in the art to which the present invention pertains, and thus a detailed description thereof will be omitted.
  • the RSS change value calculator 1300 calculates a received signal strength change value from the measured received signal strength (RSS) value. That is, the RSS change value calculator 1300 calculates the change value z as shown in Equation 2.
  • the probability calculation unit 1400 uses the RSS change value z to determine the RSS change probability ( Calculate That is, the probability calculator 1400 calculates a simplified RSS change probability using the RSS change value as shown in Equation 4.
  • the threshold calculator 1500 calculates a threshold value [theta] used to determine whether an intruder enters. As described above, the threshold calculator 450 calculates a threshold value ⁇ based on a desired misreport.
  • Intrusion determination unit 460 is the RSS change probability calculated by the probability calculation unit 440 ( ) And the threshold value? Calculated by the threshold calculator 450 to determine whether an intruder is invading. That is, the intrusion determination unit 460 is the RSS change probability ( Is larger than the threshold value?, It is determined that an intrusion has occurred.
  • the present invention can be used in security systems.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
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  • Business, Economics & Management (AREA)
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  • Alarm Systems (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

L'invention concerne un procédé et un dispositif destinés à détecter une intrusion dans un système de sécurité d'habitation intelligente. Le dispositif de détection d'intrusion mesure les intensités de signaux reçus en provenance d'une pluralité de dispositifs radio et calcule des valeurs de variations de l'intensité mesurée des signaux de réception. De plus, le dispositif de détection d'intrusion calcule un probabilité de variation d'intensité des signaux de réception en utilisant les valeurs de variations calculées de l'intensité des signaux de réception, et détermine si un intrus a commis une intrusion en comparant la probabilité de variation d'intensité des signaux de réception à une valeur seuil prédéterminée.
PCT/KR2015/002884 2014-12-05 2015-03-24 Procédé et dispositif de détection d'intrusion dans un système de sécurité d'habitation intelligente Ceased WO2016088943A1 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
KR1020140174034A KR101735780B1 (ko) 2014-12-05 2014-12-05 스마트 홈 시큐리티 시스템에서 침입을 감지하는 방법 및 단말
KR10-2014-0174034 2014-12-05
KR1020150034619A KR101687013B1 (ko) 2015-03-12 2015-03-12 스마트홈 시큐리티 시스템에서 침입을 감지하는 방법 및 장치
KR10-2015-0034619 2015-03-12

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110235456A (zh) * 2017-01-09 2019-09-13 云丁网络技术(北京)有限公司 智能设备入网方法、移动终端、云服务器、设备及系统
CN111132008A (zh) * 2019-12-19 2020-05-08 重庆大学 一种基于无线局域网信号的入侵物体检测定位系统
GB2580654A (en) * 2019-01-21 2020-07-29 British Telecomm Wireless sensing method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009080767A (ja) * 2007-09-27 2009-04-16 Saxa Inc 伝播空間監視装置
KR20090086767A (ko) * 2008-02-11 2009-08-14 삼성전기주식회사 단거리 무선 통신을 이용한 감시 시스템 및 그 방법
JP2010218071A (ja) * 2009-03-16 2010-09-30 Nec Infrontia Corp 侵入検知システム、無線信号監視装置、警報端末、侵入者検知方法、そのプログラムおよび記録媒体
US8542109B2 (en) * 2008-07-29 2013-09-24 Flir Systems, Inc. Foliage penetrating sensor array for intrusion detection

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009080767A (ja) * 2007-09-27 2009-04-16 Saxa Inc 伝播空間監視装置
KR20090086767A (ko) * 2008-02-11 2009-08-14 삼성전기주식회사 단거리 무선 통신을 이용한 감시 시스템 및 그 방법
US8542109B2 (en) * 2008-07-29 2013-09-24 Flir Systems, Inc. Foliage penetrating sensor array for intrusion detection
JP2010218071A (ja) * 2009-03-16 2010-09-30 Nec Infrontia Corp 侵入検知システム、無線信号監視装置、警報端末、侵入者検知方法、そのプログラムおよび記録媒体

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110235456A (zh) * 2017-01-09 2019-09-13 云丁网络技术(北京)有限公司 智能设备入网方法、移动终端、云服务器、设备及系统
GB2580654A (en) * 2019-01-21 2020-07-29 British Telecomm Wireless sensing method
GB2580654B (en) * 2019-01-21 2022-09-21 British Telecomm Wireless sensing method
CN111132008A (zh) * 2019-12-19 2020-05-08 重庆大学 一种基于无线局域网信号的入侵物体检测定位系统

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