KR20130122306A - Smart security system based on estimating a critical condition - Google Patents

Smart security system based on estimating a critical condition Download PDF

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KR20130122306A
KR20130122306A KR1020120045527A KR20120045527A KR20130122306A KR 20130122306 A KR20130122306 A KR 20130122306A KR 1020120045527 A KR1020120045527 A KR 1020120045527A KR 20120045527 A KR20120045527 A KR 20120045527A KR 20130122306 A KR20130122306 A KR 20130122306A
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data
risk
negative
resident
recognizing
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KR1020120045527A
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Korean (ko)
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문연국
임승옥
김영한
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전자부품연구원
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Publication of KR20130122306A publication Critical patent/KR20130122306A/en

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/117—Identification of persons
    • A61B5/1171—Identification of persons based on the shapes or appearances of their bodies or parts thereof
    • A61B5/1172—Identification of persons based on the shapes or appearances of their bodies or parts thereof using fingerprinting
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/117—Identification of persons
    • A61B5/1171—Identification of persons based on the shapes or appearances of their bodies or parts thereof
    • A61B5/1176—Recognition of faces
    • 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
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

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  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Veterinary Medicine (AREA)
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  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
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  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Alarm Systems (AREA)

Abstract

The risk prediction based smart security system according to the present invention includes a detection unit for detecting behavior patterns and biometric information of residents and visitors, a data storage unit for storing data and criminal psychology-based negative psychological data transmitted from the detection unit; The recognition unit for recognizing a risk factor based on the behavioral patterns and biometric information of residents and visitors collected and transmitted from the detection unit, compares the behavioral pattern and biometric information of the risk object recognized by the recognition unit with negative psychological data. Psychological analysis is included to determine and warn of dangerous situations.

Description

Smart security system based on estimating a critical condition

The present invention relates to a security system, and more particularly, to a risk prediction based smart security system that can predict the risk factors and alert the risk situation by analyzing the behavioral and psychological patterns of residents and visitors.

In general, apartments such as apartments, villas, townhouses, and officetels are accessed by a large number of people, so it is very important to manage the access to the tenants and restrict access to unwanted visitors.

To control the accessor in the apartment, the guard room is installed in the same unit or the common door, the worker manages and controls the accessor, and the intercom system is installed in the common front door. A method of managing and controlling the system is provided.

Personnel management and control by the worker causes frequent disputes between the person and the worker, and there is a disadvantage that stable and efficient person management and control is not provided due to the effect of the employee's departure, unstable working posture.

In addition, the method of using a password is exposed to the password to open the door when one access is allowed due to the characteristics of the system, there is a disadvantage that the control and management is not provided for subsequent access.

In addition, since the management and control of the accessor is dependent on the guard room worker, the access record of the accessor is not recorded in detail, so even if an unfavorable situation occurs in the complex, it cannot be easily tracked.

In recent years, parking lots have been installed in the underground spaces to provide a more natural environment for the housing of apartments. However, the underground parking lots are darker and less crowded than those outside, so crimes such as kidnapping, robbery and snatching are rare. It is always exposed to occurrence.

In addition, even when an emergency situation occurs in the promenade provided in the apartment complex there is also a problem that can not be quickly coped.

In addition, there is a limit to prevent only the existing security objects because of the perpetrators living in the same residential space that knows in detail about the location and information of the existing security objects such as CCTV installed in the apartment complex.

In addition, CCTV is spreading in the public safety sector, but due to problems such as time-consuming search by manual video search and error caused by dependence of monitoring personnel, the role as a post-accident measure is not a precaution of crime. It is necessary to increase operational efficiency and strengthen incident response and prevention activities through fundamental improvements and changes.

Korea Patent Publication 2009-0116420 (Application Date: 2008.05.07)

SUMMARY OF THE INVENTION An object of the present invention is to provide a smart security system that protects the safety of residents from possible dangerous situations by recognizing and predicting the current dangerous situation by analyzing the psychology of the subject based on the behavior patterns and bio responses of the residents or visitors. .

In order to achieve the above object of the present invention, the present invention provides a detection unit for detecting the behavioral patterns and biometric information of residents and visitors, and data storage for storing data and criminal psychology-based negative psychological data transmitted from the detection unit A recognition unit for recognizing a risk factor based on behavioral patterns and biometric information of residents and visitors collected and transmitted from the detection unit, a behavior pattern and biometric information of a risk factor object recognized by the recognition unit, and Psychological analysis unit for determining and warning the risk situation by comparing the negative psychological data can provide a risk prediction-based smart security system comprising a.

Here, the detection unit is a CCTV camera for collecting image information, a thermal imaging camera for capturing a thermal image, a voice collecting device installed in a narrow space to collect the voice information of the resident or visitor, is used by the resident It may include a biometric information collection device for collecting the response of the resident body autonomic nervous system, a resident recognition device for recognizing the resident.

The bioinformation collecting device may include a PPG sensor that senses the occupant's heart rate, a GSR sensor that senses the skin electrical conductivity of the occupant, and a SKT sensor that senses the skin temperature of the occupant.

In addition, the resident recognition device may include a iris recognition device for recognizing the iris of the eye, a fingerprint recognition device for recognizing a fingerprint, an expression recognition camera for recognizing a facial expression.

The negative psychological data may include negative behavior pattern data, negative voice data, and negative biometric data, and the negative biometric data may include heart rate, skin electrical conductivity, skin temperature, facial expression, and facial temperature. .

In addition, the psychological analysis unit may set a higher risk warning level for the indoor risk factor than the outdoor risk factor.

According to the present invention, a variety of data such as behavioral patterns, heart rate changes, skin temperature changes, pupil size changes, and voice information of residents or visitors can be recognized and predicted at risk using negative psychological cognitive techniques. It can provide a security system.

1 is a schematic diagram of a risk prediction based smart security system according to an embodiment of the present invention;
2 is a schematic diagram showing a risk factor prediction and a real time warning situation of a trail;
3 is a schematic diagram showing the risk factor prediction and real-time warning situation of the underground parking lot;
4 is a schematic diagram showing a risk factor prediction and a real-time warning situation of the cavity entrance;
5 is a schematic diagram showing a risk prediction and a real time warning situation in an elevator;
Figure 6 is a schematic diagram showing the risk factor prediction and real-time warning situation of the front door; And
7 is a schematic diagram showing a real-time warning situation when an emergency situation occurs.

Hereinafter, a risk prediction based smart security system according to a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings.

As shown in FIG. 1, the risk prediction based smart security system 100 according to an exemplary embodiment of the present invention may include a detector 110, a recognizer 120, a psychoanalyzer 130, and a data storage unit ( 140, may include a control unit 150.

The detector 110 detects behavior patterns and biometric information of residents and visitors, and includes a CCTV camera 111, a thermal imaging camera 112, a voice collecting device 113, and biometric information that collects image information of a target. It may include a collecting device 114, a resident recognition device 115 and the like.

The CCTV camera 111 is for photographing the inside and outside of the apartment complex, real-time monitoring the surrounding situation of the common entrance, playground, outdoor parking lot, walkway in the complex, and interact with the recognition unit 120, the behavior pattern of the monitoring target, That is, the moving direction, speed, and movement change of the target may be recognized, and the target image predicted as a risk factor may be tracked and the image image of the target may be transmitted to the data storage 140 and stored.

The thermal imaging camera 112 is for capturing thermal images of the interior and exterior of an apartment complex in a situation where it is not easy to monitor by the CCTV camera 111, and the surrounding illumination is low, that is, the environment such as night or rain and snow. In the presence of blind spots or in the presence of blind spots, thermographic images can be taken using body temperature and tracked to predict risk factors.

The voice collecting device 113 collects voices and determines risk factors based on the collected voices. The voice collecting device 113 is mainly installed in a narrow space such as an elevator, a common entrance, or a front door of an individual home, and the voice information of a resident or a visitor. Can be collected. The voice collecting device 113 may collect voice information such as a voice tempo of a target, a change in voice height / shortening, a voice feature, a specific word collected from conversation contents, and transmit the collected voice information to the recognizer 120.

The biometric information collecting device 114 is to collect the biometric information of the occupants in real time by using the occupant living in a multi-family house, and various sensors for sensing the response of the body's autonomic nervous system that reacts immediately by surrounding risk factors. And a wireless communication device for wirelessly transmitting the same to the recognition unit 120.

The biometric information collecting device 114 of the present embodiment may be in the form of a watch worn on the occupant's wrist, but its configuration and wearing portion may not be limited thereto. The bioinformation collecting device 114 of the present embodiment may include a PPG sensor (Photoplethysmograph) for sensing the cardiac activity of the occupant, a GSR sensor for sensing the skin electrical conductivity of the occupant, and a SKT sensor for sensing the skin temperature of the occupant.

The PPG sensor estimates heart rate activity by measuring blood flow through blood vessels using optical characteristics of biological tissues, and may determine that a risk factor occurs when a sudden heart rate increases. The GSR sensor can determine that a risk factor has occurred by measuring the change in current caused by the emotional excitement of the occupant's skin through two electrodes that are in close contact with the occupant's two skin. The SKT sensor can determine that a risk factor has occurred by directly measuring the abrupt skin temperature change of the occupant.

The resident recognition device 115 is installed at a front door of a common entrance or an individual home to accurately recognize and determine a resident, and includes a iris recognition device for recognizing an iris of an eye that cannot be forged and a fingerprint recognition device for recognizing a fingerprint. The iris pattern or the fingerprint pattern may be compared with the iris / fingerprint pattern of the occupant stored in the data storage 140, and thus accurate identification of the occupant and the visitor may be possible.

In addition, the resident recognition device 115 may further include a facial recognition camera 111 that can recognize the facial expression from the face of the resident or visitor and a thermal imaging camera that can measure the face temperature. Through the facial expressions of the residents or visitors located in the common entrance or the front door, it recognizes the negative psychology of the subject, ie anxiety, irritability, excitement, etc. The control unit 150 may warn of a dangerous situation in real time.

The recognition unit 120 recognizes risk factors based on behavior patterns and biometric information of residents and visitors collected and transmitted from the detection unit 110. The information may be transmitted to the analysis unit 130 to warn of a dangerous situation.

Specifically, the recognition unit 120 of the present embodiment collects the behavior pattern information of the shooting target from the CCTV camera 111, the thermal imaging camera 112, and analyzes the risk factor level of the target based on the information, and then the predetermined level or more When the risk behavior pattern is displayed, the object may be regarded as a risk factor, and the information about the object may be tracked and transmitted to the data storage 140 and the controller 150.

In addition, the recognition unit 120 analyzes the risk level of the object based on the voice data of the risk object or residents or visitors collected through the voice collecting device 113 installed in the common entrance or elevator, the risk of a certain level or more When the voice data is collected, the risk factor and the risk situation may be determined by comparing the data with the negative voice data stored in the psychoanalytic unit 130.

In addition, the recognition unit 120 distinguishes residents and visitors from residents data stored in the data storage unit 140 based on the iris or fingerprint data of the residents or visitors or risk factors collected through the resident recognition device 115. In addition, if the user is not a resident, the visitor's facial expression / behavior data, face temperature data, and voice data may be compared with the negative psychological data stored in the psychoanalytic unit 130 to determine a risk factor and a dangerous situation.

In addition, the recognition unit 120 periodically receives a change in the autonomic nervous system of the occupant through the biometric information collecting device 114 worn by the occupant and compares the dangerous situation of the occupant with the negative biometric information data in the psychoanalysis unit 130. When the heart rate, skin electrical conductivity, and skin temperature change of the occupant are determined to be higher than or equal to a predetermined level, the dangerous situation warning signal may be transmitted to the control unit 150.

In other words, the recognition unit 120 of the present embodiment can measure the real-time risk situation from the outdoor to the indoor of the common housing complex, and the risk factor showing the dangerous behavior pattern from the outdoor to the front door of the common entrance, elevator, individual home Continuous observation and tracking allows you to predict and prevent risk situations proactively.

Psychological analysis unit 130 is for determining the risk situation for the observation target by comprehensively analyzing the behavior, voice and biometric data of the observation target transmitted from the recognition unit 120, the data storage unit 140 or itself The risk situation is determined by comparing negative psychological data, that is, negative behavior pattern data, negative voice data, negative biometric data, and the like.

In addition, the psychological analysis unit 130 transmits the data transmitted from the outside, that is, the data delivered from the interior, that is, from the elevator or the front door, rather than the data of the observation target transmitted from the common living space, parking lot, or common hall in the common residential complex. A higher level of risk warning can be set for the data of observed observations. That is, it may be preferable that the psychoanalyzer 130 reacts more sensitively to the determination of the danger situation in the room than in the outdoors.

The data storage unit 140 is for storing data of the security system 100 and stores image data, thermal image data, behavior pattern data, biometric data, resident data, and negative psychological data transmitted from the detection unit 110. Can be stored.

Here, the data storage unit 140 may store only the data of the observation target designated as a risk target from the recognition unit 120 for the image and the thermal image data having a relatively high capacity. Image data can also be stored.

The controller 150 is for monitoring and controlling the security system 100 as a whole. The controller 150 controls or recognizes the CCTV camera 111 or the thermal imaging camera 112 to track a designated risk factor from the recognizer 120. The emergency situation may be alerted to the management office, the police station, or the fire department based on the danger situation warning signal transmitted from the 120 or the psychological analysis unit 130.

With respect to the indoor and outdoor risk factors determination and risk situation warning through the risk factor prediction-based smart security system 100 according to a preferred embodiment of the present invention having the above-described configuration will be described below with reference to FIGS.

As shown in FIG. 2, an observation object indicating an abnormal behavior pattern is measured by a CCTV camera 111 or a thermal imaging camera 112 in a common living space in a common residential area such as a walkway or an outdoor parking lot, and the recognition unit 120 is measured. If it is recognized as a risk factor, the observation target is continuously tracked and observed, and the image data of the observation target is stored in the data storage 140. This observation target is determined whether the resident or visitor through the resident recognition device 115 installed in the common entrance, and compares the facial expression or face temperature of the target with the negative psychological data in the psychological analysis unit 130 to warn the danger situation in real time can do.

As shown in FIG. 3, in a common living space where the average illuminance is low or a blind spot exists, such as an indoor (underground) parking lot, the voice collecting device 113 is added to the CCTV camera 111 and the thermal imaging camera 112. The risk situation can then be determined. The license plate of the vehicle may be recognized through the CCTV camera 111 installed at the entrance of the parking lot and may be recognized as a resident vehicle or a visitor vehicle, and the risk factors inside the parking lot through the CCTV camera 111 or the thermal imaging camera 112 installed in the parking lot. May be measured, and the risk factor may also be measured through the voice collecting device 113 in the parking lot. When the risk factor is measured, the psychological analysis unit 130 analyzes the negative behavior pattern data, the negative voice data, and the negative biometric data based on the behavior pattern data, the body temperature data, and the voice data of the target to monitor the risk situation in real time. Can be.

As shown in FIG. 4, the resident recognition device 115 installed in the common entrance recognizes whether the object is a resident or a visitor, and based on the biometric data such as facial expression, face temperature, iris or fingerprint, etc. ) Can be compared with negative behavioral pattern data, negative voice data, and negative biometric data to provide real-time warning of dangerous situations.

As shown in FIG. 5, the risk factor may be measured through a CCTV camera 111 or a voice collecting device 113 installed in an indoor living space such as an elevator, and if the risk factor is measured, The psychological analysis unit 130 may analyze the negative behavior pattern data, the negative voice data, and the negative biometric data based on the behavior pattern data, the facial expression data, and the voice data to warn of a dangerous situation in real time. In this case, the psychoanalytic unit 130 may set a risk warning higher than the risk level in the outdoor environment as shown in FIGS. 2 to 4.

As shown in FIG. 6, various data such as visitor's behavior pattern data, facial expression data, voice data, facial expression or temperature, iris change, etc. are provided through a resident recognition device 115 installed in an indoor living space close to a resident such as a front door. The risk factor may be measured, and a risk situation may be determined by the psychoanalyzer 130 based on the data. If it is determined that the situation is dangerous, the warning of the situation can be made immediately through the speaker or interphone provided in the management room or the premises.

As illustrated in FIG. 7, when an intruder enters a front door or a home or a dangerous situation occurs, a living body such as a heart rate, skin electrical conductivity, and skin temperature of a resident is collected through a biometric information collecting device 114 that is occupied by a resident. On the basis of the information, the psychological analysis unit 130 may compare the negative biometric data with the real-time warning of the dangerous situation. At this time, the dangerous situation recognized by the biometric information collecting device 114 is determined to face the resident, the highest risk situation level, in addition to the warning to the speaker or management room in the home emergency emergency signal to the police or fire department, etc. It may be.

In the above, the risk prediction based smart security system of the present invention has been described with reference to a preferred embodiment of the present invention, but the scope of the present invention is not limited to the above-described embodiment, and is within the scope not departing from the spirit of the present invention. It will be apparent to those skilled in the art that modifications, variations and variations are possible in the art.

100: security system
110: detector
111: CCTV Camera
112: thermal imaging camera
113: voice collecting device
114: biological information collection device
115: Resident Recognition Device
120: recognition unit
130: psychological analysis
140: data storage unit
150: control unit

Claims (6)

A detector for detecting behavior patterns and biometric information of residents and visitors;
A data storage unit for storing data transmitted from the detection unit and criminal psychology-based negative psychological data;
A recognition unit for recognizing a risk factor based on behavioral patterns and biometric information of residents and visitors collected and transmitted from the detection unit;
And a psychological analysis unit for determining and warning a risk situation by comparing the behavioral pattern and biometric information of the risk factor target recognized by the recognition unit with the negative psychological data.
The method according to claim 1,
The detector is a CCTV camera for collecting video information, a thermal camera for capturing thermal images, a voice collecting device installed in a narrow space to collect the voice information of the resident or visitor, is used by the resident is used Bio-information collecting device for collecting the response of the body's autonomic nervous system, smart card security system based on the risk factor prediction, characterized in that it comprises a resident recognition device for recognizing the resident.
The method according to claim 2,
The biological information collection device,
And a PPG sensor sensing the occupant's heart rate, a GSR sensor sensing the electrical conductivity of the occupant's skin, and a SKT sensor sensing the occupant's skin temperature.
The method according to claim 2,
The resident recognition device
Risk factor prediction based smart security system comprising a iris recognition device for recognizing the iris of the eye, a fingerprint recognition device for recognizing the fingerprint, facial expression recognition camera for recognizing the facial expression.
The method according to claim 1,
The negative psychological data,
It includes negative behavior pattern data, negative voice data, negative biometric data, wherein the negative biometric data includes heart rate, skin electrical conductivity, skin temperature, facial expression, face temperature system.
The method according to claim 1,
The psychological analysis unit
A risk prediction based smart security system that sets a higher risk alert level for an indoor hazard than an outdoor hazard.
KR1020120045527A 2012-04-30 2012-04-30 Smart security system based on estimating a critical condition KR20130122306A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101993207B1 (en) * 2018-12-18 2019-09-30 백현민 Calling system to perform situation analysis
KR102071185B1 (en) * 2019-06-18 2020-01-29 백현민 Calling system for controlling peripheral device acording to the type of emergency
US11605145B2 (en) 2018-03-22 2023-03-14 Samsung Electronics Co., Ltd. Electronic device and authentication method thereof

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11605145B2 (en) 2018-03-22 2023-03-14 Samsung Electronics Co., Ltd. Electronic device and authentication method thereof
KR101993207B1 (en) * 2018-12-18 2019-09-30 백현민 Calling system to perform situation analysis
KR102071185B1 (en) * 2019-06-18 2020-01-29 백현민 Calling system for controlling peripheral device acording to the type of emergency

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