EP3155600A1 - Erkennung des zustandes eines geländes unter verwendung von audioanalytik - Google Patents
Erkennung des zustandes eines geländes unter verwendung von audioanalytikInfo
- Publication number
- EP3155600A1 EP3155600A1 EP15807201.7A EP15807201A EP3155600A1 EP 3155600 A1 EP3155600 A1 EP 3155600A1 EP 15807201 A EP15807201 A EP 15807201A EP 3155600 A1 EP3155600 A1 EP 3155600A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- sound
- sounds
- microphone
- class
- detecting
- 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.)
- Withdrawn
Links
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Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/02—Mechanical actuation
- G08B13/04—Mechanical actuation by breaking of glass
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/16—Actuation by interference with mechanical vibrations in air or other fluid
- G08B13/1654—Actuation by interference with mechanical vibrations in air or other fluid using passive vibration detection systems
- G08B13/1672—Actuation by interference with mechanical vibrations in air or other fluid using passive vibration detection systems using sonic detecting means, e.g. a microphone operating in the audio frequency range
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
- G08B21/043—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0469—Presence detectors to detect unsafe condition, e.g. infrared sensor, microphone
-
- 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
- G08B25/006—Alarm destination chosen according to type of event, e.g. in case of fire phone the fire service, in case of medical emergency phone the ambulance
-
- 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
- G08B29/188—Data fusion; cooperative systems, e.g. voting among different detectors
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/78—Detection of presence or absence of voice signals
Definitions
- the security system component 104-a may include an ability to detect sounds from the ambient environment. Such a capability may include the ability to determine attributes about the detected sounds. For example, the security system component 104-a can determine the waveform generated by the sound, the pitch of the sound, the amplitude of the sound, decibel level of the sound, the reflection characteristics of the sound, the period of the sound' s wavelength cycle, the acoustic pressure of the sound, the intensity of the sound, the speed of the sound, the direction of the sound, other attributes of the sound, or combinations thereof.
- the attributes of the sound can be used to determine the sound's source and to recognize the type of sound.
- the sound of an automobile driving by the home may be detected by the security system component 104-a.
- the security system component 104-a may analyze the detected sound' s attributes, such as frequency and amplitude. Such attributes may be compared to sound signatures stored in a sound library within the security system component 104-a to determine if there is a correlation between the sound attributes and one of the stored sound signatures. If there appears to be a strong enough correlation, the security system component 104-a may conclude that the sound belongs to a particular recognized class of sounds.
- the security system component 104-a may include signatures to sound sources that should not trigger a predetermined response, but may be confused with similar types of sounds that come from sources that should trigger a predetermined response.
- FIG. 2 is a block diagram illustrating one example of a control unit 102-b.
- the control unit 102-b has a class recognition module 200-a and a response module 202-a.
- the camera module 300 may include specific predetermined responses associated with the receipt of a recognized class, the camera module 300 may also include the ability to make dynamic decisions depending on the situation. For example, if the predetermined response is to turn on the camera, the camera module may make additional decisions beyond the predetermined response as appropriate. Such additional decisions may include zooming, panning, trucking, tilting, or otherwise controlling the camera' s field of view if the camera' s or the control unit' s logic determines that the field of view could be positioned differently to get more useful information.
- the video camera may detect the presence of a hazard, such as a fire, flooding, an intruder, other hazards, or combinations thereof. In response to such detections, the camera module 300 may cause additional types of appropriate predetermined responses to occur.
- the health condition module 304 may be notified to summon the medical assistance.
- Sounds that may be assigned to such a recognized class include choking sounds, falling sounds, yelling sounds, explosion sounds, gunshot sounds, other types of sounds, or combinations thereof.
- the sounds indicate that there is a potential danger to the medical personnel, like explosion or gunshot sounds, the medical personnel may still be notified and allow the medical personnel to be aware that their services may be requested. The medical personnel can coordinate their rescue efforts with the appropriate rescue agency.
- the communications module 404 communicates with the control unit 102. Such communications may be wireless communications or wired communications.
- the communications module 404 may send the identified recognized class to the control unit 102, where the control unit 102 can make a decision about how to respond to the recognized class.
- the analysis for determining the sound's recognized class is performed at the security system component 104-b and the decision for how to respond to the recognized class is performed at the control unit 102.
- glass break detectors may be located in an area of a home or business where people and/or animals may pass through. Such a glass break detector may monitor for sounds generated by passing people and/or animals.
- a glass break detector may be mounted near a window located relative to a family room of a home. Such a home may include a number of human occupants and a pet. Glass break detectors may detect sounds generated by both the occupants as well as the pet.
- a glass break detector may be configured to identify human-generated sounds and animal-generated sounds.
- Examples of the device 605 may include any combination of a microphone, a glass break sensor, mobile devices, smart phones, personal computing devices, computers, laptops, desktops, servers, media content set top boxes, satellite set top boxes, cable set top boxes, DVRs, personal video recorders (PVRs), etc.
- device 605 may include a building automation controller integrated within device 605, or as depicted, may be in communication with an automation controller via network 615.
- Examples of the automation controller 655 may include any device configured to control a building such as a home, a business, a government facility, etc. Accordingly, examples of automation controller 655 include any combination of a dedicated building automation computing device (e.g. , wall-mounted controller), a personal computing device (e.g.
- server 610 may be coupled to database 620.
- Database 620 may be internal or external to the server 610.
- device 605 may be coupled directly to database 620 or a database similar to database 620.
- database 620 may be internal or external to device 605.
- Database 620 may include sounds data 660.
- device 605 may access sounds data 660 in database 620 over network 615 via server 610.
- Sounds data 660 may include data regarding algorithms for identifying sounds (e.g. , signal transforms such as DCTs, FFTs, etc.) such as algorithms for detecting human voice patterns, algorithms for detecting human footsteps, algorithms for detecting animal sounds, algorithms for detecting animal footsteps, etc.
- sounds data 660 may include algorithms for distinguishing between footsteps of bipeds (e.g. , humans) and quadrupeds (e.g. , a pet dog, a pet cat, etc.).
- Sounds data 660 may include human speech signatures, human footstep signatures, signatures for one or more animals sounds (e.g. , dog bark, cat meow, bird chirp, etc.).
- a sound detected in the building may be compared to a signature stored in database 620, and upon detecting a match, identifying the source of the sound as human and/or from a pet.
- sounds data 660 may include samples of human speech, samples of animal sounds, and the like.
- FIG. 7 is a block diagram illustrating one example of an occupancy detection module 645-a.
- Occupancy detection module 645-a may be one example of occupancy detection module 645 depicted in FIG. 6.
- occupancy detection module 645-a may include monitoring module 705, a sound identification module 710, a motion detection module 715, a sound categorization module 720, and a notification module 725.
- glass break sensors 830- 1 may be installed in relation to window 815
- glass break sensors 830-2 may be installed in relation to window 820
- glass break sensors 830-3 may be installed in relation to window 825
- building 805 may include a motion sensor 835.
- the method 900 includes detecting 902 a sound with a security system component, determining 904 with a security system component whether the sound belongs to a recognized class of sounds, and sending 906 the recognized class to a remote control unit.
- a method 900 may be implemented with a security system component 104 shown in FIGS. 1 and/or 4.
- method 900 may be performed generally by the environment 100 shown in FIG. 1.
- a sound is detected with the security system component 104.
- Such a sound may be a sound that indicates a condition on the premise where some kind of predetermined response is desirable.
- any appropriate mechanism for determining recognized classes and executing predetermined responses may be implemented according to the principles described herein.
- the method 1 100 may evaluate the sound against the criteria of each recognized class in any appropriate order. Further, more or less recognized classes may be considered than depicted in the example of FIG. 1 1.
- the examples above identify a single predetermined response for specific recognized classes, any appropriate number of predetermined responses and any appropriate type of predetermined response may be used in accordance with the principles described herein.
- a detected sound may belong to more than one recognized class. As such, the detected sound may be compared to multiple recognized classes, even if the sound characteristics already satisfy the requisite conditions to fall within one of the recognized classes.
- FIG. 14 Many other devices or subsystems (not shown) may be connected in a similar manner (e.g., entertainment system, computing device, remote cameras, wireless key fob, wall mounted user interface device, cell radio module, battery, alarm siren, door lock, lighting system, thermostat, home appliance monitor, utility equipment monitor, and so on).
- All of the devices shown in FIG. 14 need not be present to practice the present systems and methods.
- the devices and subsystems can be interconnected in different ways from that shown in FIG. 14. The aspect of some operations of a system such as that shown in FIG. 14 are readily known in the art and are not discussed in detail in this application.
- Code to implement the present disclosure can be stored in a non-transitory computer-readable medium such as one or more of system memory 1415 or fixed disk 1475.
- the operating system provided on controller 1400 may be iOS ® , ANDROID ® , MS-DOS ® , MS-WINDOWS ® , OS/2 ® , UNIX ® , LINUX ® , or another known operating system.
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Alarm Systems (AREA)
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US14/304,644 US10922935B2 (en) | 2014-06-13 | 2014-06-13 | Detecting a premise condition using audio analytics |
US14/316,597 US9454882B2 (en) | 2014-06-26 | 2014-06-26 | Verifying occupancy of a building |
PCT/US2015/035119 WO2015191722A1 (en) | 2014-06-13 | 2015-06-10 | Detecting a premise condition using audio analytics |
Publications (2)
Publication Number | Publication Date |
---|---|
EP3155600A1 true EP3155600A1 (de) | 2017-04-19 |
EP3155600A4 EP3155600A4 (de) | 2018-02-28 |
Family
ID=54834249
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP15807201.7A Withdrawn EP3155600A4 (de) | 2014-06-13 | 2015-06-10 | Erkennung des zustandes eines geländes unter verwendung von audioanalytik |
Country Status (3)
Country | Link |
---|---|
EP (1) | EP3155600A4 (de) |
CA (1) | CA2949370A1 (de) |
WO (1) | WO2015191722A1 (de) |
Families Citing this family (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10745263B2 (en) | 2015-05-28 | 2020-08-18 | Sonicu, Llc | Container fill level indication system using a machine learning algorithm |
US10746586B2 (en) | 2015-05-28 | 2020-08-18 | Sonicu, Llc | Tank-in-tank container fill level indicator |
ES2574091A1 (es) * | 2016-01-19 | 2016-06-14 | Smart Things And Friends, S.L. | Procedimiento y dispositivo de análisis, discriminación y gestión de sonido ambiental |
CN107767880B (zh) * | 2016-08-16 | 2021-04-16 | 杭州萤石网络有限公司 | 一种语音检测方法、摄像机和智能家居看护系统 |
US10257629B2 (en) * | 2017-04-18 | 2019-04-09 | Vivint, Inc. | Event detection by microphone |
US10558917B2 (en) * | 2017-04-20 | 2020-02-11 | Tyco Fire & Security Gmbh | Artificial intelligence and natural language processing based building and fire systems management system |
DE102017109012A1 (de) * | 2017-04-27 | 2018-10-31 | Dr. Ing. H.C. F. Porsche Aktiengesellschaft | Verfahren zum Schutz von Fahrzeuginsassen |
US20190139565A1 (en) * | 2017-11-08 | 2019-05-09 | Honeywell International Inc. | Intelligent sound classification and alerting |
CN107942709B (zh) * | 2017-12-21 | 2023-10-31 | 华南理工大学广州学院 | 一种智能家居控制系统及其控制方法 |
EP3667629B1 (de) | 2018-12-14 | 2022-12-07 | Carrier Corporation | Vorrichtung und verfahren zum testen eines glasbruchdetektionssystems |
EP3723456A1 (de) * | 2019-04-11 | 2020-10-14 | Cowhill Studio BV VOF | Altenpflege- und sicherheitssystem |
WO2021063951A1 (de) * | 2019-09-30 | 2021-04-08 | Truck Norris GmbH | Verfahren und vorrichtung zur erkennung einer unbefugten manipulation an einem gegenstand oder einem raum |
US20210344798A1 (en) * | 2020-05-01 | 2021-11-04 | Walla Technologies Llc | Insurance information systems |
CN113947855A (zh) * | 2021-09-18 | 2022-01-18 | 中标慧安信息技术股份有限公司 | 一种基于语音识别的智能楼宇人员安全报警系统 |
DK202370292A1 (en) * | 2022-06-14 | 2024-02-14 | Pressalit As | A management system for monitoring a facility, a method and use therefore and a facility |
Family Cites Families (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6204760B1 (en) * | 1998-01-30 | 2001-03-20 | Interactive Technologies, Inc. | Security system for a building complex having multiple units |
US6134303A (en) * | 1999-01-20 | 2000-10-17 | Tempa Communication Inc. | United home security system |
US6215404B1 (en) * | 1999-03-24 | 2001-04-10 | Fernando Morales | Network audio-link fire alarm monitoring system and method |
US6850601B2 (en) * | 2002-05-22 | 2005-02-01 | Sentinel Vision, Inc. | Condition detection and notification systems and methods |
US7173525B2 (en) * | 2004-07-23 | 2007-02-06 | Innovalarm Corporation | Enhanced fire, safety, security and health monitoring and alarm response method, system and device |
US20070183604A1 (en) * | 2006-02-09 | 2007-08-09 | St-Infonox | Response to anomalous acoustic environments |
US9025779B2 (en) * | 2011-08-08 | 2015-05-05 | Cisco Technology, Inc. | System and method for using endpoints to provide sound monitoring |
DE102012211154B4 (de) * | 2012-06-28 | 2019-02-14 | Robert Bosch Gmbh | Überwachungssystem, Freiflächenüberwachung sowie Verfahren zur Überwachung eines Überwachungsbereichs |
-
2015
- 2015-06-10 EP EP15807201.7A patent/EP3155600A4/de not_active Withdrawn
- 2015-06-10 WO PCT/US2015/035119 patent/WO2015191722A1/en active Application Filing
- 2015-06-10 CA CA2949370A patent/CA2949370A1/en not_active Abandoned
Also Published As
Publication number | Publication date |
---|---|
CA2949370A1 (en) | 2015-12-17 |
EP3155600A4 (de) | 2018-02-28 |
WO2015191722A1 (en) | 2015-12-17 |
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