本發明係有關一種居家照護之技術，特別是指一種語音辨識照護之方法及其系統。The present invention relates to a technique for home care, and more particularly to a method and system for voice recognition care.
按，隨著台灣即將邁入高齡化社會，醫療照護品質與看護人力不足一直是社會議題，高齡者或行動不便者、身患重病者在家居日常生活的安全性是影響生活品質的重要因素，因此對於現階段看護人力不足的情況下，如何維持需照護對象的居家安全，使他們在發生緊急狀況時可得到救助是一項重要的課題。According to the fact that as Taiwan is about to enter an aging society, the quality of medical care and the lack of caregiving have always been social issues. The safety of elderly people or people with reduced mobility and those living with serious illnesses in daily life is an important factor affecting the quality of life. Therefore, in the case of insufficient manpower at the current stage, how to maintain the safety of the homes to be cared for, so that they can be rescued in the event of an emergency is an important issue.
目前部分安養院或醫療院所是在每間房間安裝監視器以關照老人們的狀況，常見、可供遠距看護用的監測器分為影像式及聲音式兩種，其中影像式是運用閉路電視或網路視訊系統的監視器擷取影像，使得管理者及照護者可看見監視範圍內所有人員的一舉一動，優點是監視範圍內的所有情況皆一目了然，但缺點在於監視器有死角，且需要有人一直看著監視影像，此外影像式監測器較適用於嬰幼兒照護，對其他年齡層的被照護者而言缺乏隱私。而聲音式監測系統目前市面上僅見用於嬰兒哭聲偵測，無法應用於高齡者或行動不便、身患重病者的照護。At present, some nursing homes or medical institutions install monitors in each room to care for the situation of the elderly. Common monitors for remote care are divided into video and audio. The monitors of closed-circuit television or network video systems capture images so that managers and caregivers can see every move of the surveillance area. The advantage is that all the conditions within the surveillance range are clear, but the disadvantage is that the monitor has a dead angle. And some people need to watch the surveillance image all the time. In addition, the image monitor is more suitable for infant care, and it lacks privacy for the caregivers of other ages. The sound monitoring system is currently only used in the market for baby crying detection, and can not be applied to the care of elderly people or those with inconvenient mobility and serious illness.
有鑑於此，本發明遂針對上述習知技術之缺失，提出一種語音辨識照護之方法及其系統，以有效克服上述之該等問題。In view of the above, the present invention proposes a method and system for voice recognition care to effectively overcome the above problems in view of the above-mentioned shortcomings of the prior art.
本發明之主要目的在提供一種語音辨識照護之方法及其系統，其係在房間裝設主機或子機以監測聲音，判斷聲音為語音或非語音，進一步分析語音中是否包含求救訊息或非語音是否為緊急之異常聲響，以決定是否需要送出警示訊息啟動救護機制，監測聲音無死角，較監測影像更為準確。The main object of the present invention is to provide a method and system for voice recognition and care, which is to install a host or a slave in a room to monitor sound, determine whether the voice is voice or non-speech, and further analyze whether the voice contains a help message or a non-voice. Whether it is an emergency abnormal sound, to determine whether it is necessary to send a warning message to start the ambulance mechanism, monitoring the sound without dead angle, more accurate than monitoring images.
本發明之另一目的在提供一種語音辨識照護之方法，其係利用聲音訊號之聲音頻譜中是否具有基頻-泛頻結構來判斷聲音訊號是否為語音。Another object of the present invention is to provide a method for voice recognition care, which uses a fundamental frequency-overtone structure in a sound spectrum of an audio signal to determine whether an audio signal is speech.
本發明之再一目的在提供一種語音辨識照護之方法，其係將具代表性的求救訊息或異常聲響的特徵儲存在一資料庫中，若在聲音訊號中有分析出預先儲存的求救訊息或異常聲響，代表可能有意外發生，則送出警示訊息。A further object of the present invention is to provide a method for voice recognition care, which stores a representative help message or an abnormal sound feature in a database, if a pre-stored help message is analyzed in the voice signal or An abnormal sound, indicating that an accident may have occurred, sends a warning message.
為達上述之目的，本發明提供一種語音辨識照護系統之方法，透過一語音辨識照護系統判斷環境狀況是否緊急，包括下列步驟：語音辨識照護系統偵測一環境中之複數聲音訊號；利用一基頻-泛頻結構判斷聲音訊號為語音訊號或非語音訊號；若聲音訊號為語音訊號，則辨識語音訊號之字句內容，判斷是否包含預設的複數求救訊息的其中一種，而若聲音訊號為非語音訊號，則判斷其是否為預設的複數種異常聲響的其中一種；以及若語音訊號之字句內容為求救訊息，或非語音訊號為異常聲響，則語音辨識照護系統對外送出一警示訊息。To achieve the above object, the present invention provides a method for a voice recognition and care system for determining whether an environmental condition is urgent through a voice recognition and care system, comprising the steps of: detecting a plurality of voice signals in an environment by using a voice recognition care system; The frequency-over-frequency structure determines whether the voice signal is a voice signal or a non-speech signal; if the voice signal is a voice signal, the content of the word of the voice signal is identified, and it is determined whether one of the preset multiple help messages is included, and if the voice signal is not The voice signal determines whether it is one of a plurality of preset abnormal sounds; and if the content of the voice signal is a help message, or the non-speech signal is abnormal, the voice recognition system sends a warning message.
本發明另提供一種語音辨識照護系統，包括一主機、至少一子機及一照護單位，子機偵測環境中之複數聲音訊號，主機與子機以有線或無線的方式連接，接收聲音訊號後，藉由檢查聲音訊號是否具有一基頻-泛頻結構來判斷是否為語音訊號，進一步判斷聲音訊號之內容是否需要送出一警示訊息；照護單位與主機以有線或無線的方式連接，若主機送出警示訊息，則照護單位啟動救護機制，例如出動看護去現場實際探望是否有人需要救助。The invention further provides a voice recognition and care system, comprising a host, at least one child machine and a care unit, wherein the child machine detects a plurality of sound signals in the environment, and the host and the child machine are connected by wire or wirelessly, and receive the sound signal. By checking whether the voice signal has a fundamental frequency-overclocking structure to determine whether it is a voice signal, further determining whether the content of the voice signal needs to send a warning message; the care unit and the host are connected by wire or wirelessly, if the host sends out When the warning message is sent, the care unit starts the ambulance mechanism, for example, dispatching the care to go to the site to actually see if someone needs help.
底下藉由具體實施例詳加說明，當更容易瞭解本發明之目的、技術內容、特點及其所達成之功效。The purpose, technical content, features and effects achieved by the present invention will be more readily understood by the detailed description of the embodiments.
本發明是一種語音辨識照護之方法及其系統，其係利用一麥克風陣列偵測房間室內的聲音訊號，並對聲音訊號進行分析，判斷是否為人聲，若是語音則辨識說話內容是否包含求救訊息則啟動救護機制；若不是語音則判斷是否為代表意外發生的異常聲響，啟動救護機制，藉由聲音無死角的特性，使監測功能較之錄影監測更加強大。The invention relates to a voice recognition and protection method and a system thereof, which use a microphone array to detect an audio signal in a room, analyze an audio signal to determine whether it is a human voice, and if it is a voice, identify whether the speech content includes a help message. Start the ambulance mechanism; if it is not the voice, judge whether it is an abnormal sound that represents the accident, start the ambulance mechanism, and make the monitoring function more powerful than the video monitoring by the feature of no sound.
第1圖為本發明所提供之語音辨識照護系統之方塊圖，包括一主機10、至少一子機12及一照護單位14，子機12裝設在房間之類的室內空間，用以偵測環境中之複數聲音訊號，主機10與子機12係以有線或無線的方式連接，如網路線或電話線，當子機12偵測到聲音訊號並傳送給主機10接收後，主機10會先判斷是否為人聲的語音訊號，再進一步判斷聲音訊號之內容是否需要送出一警示訊息，例如語音的說話內容為何、若非語音則是否為有危險性的異常聲響；照護單位14與主機10以有線或無線的方式連接，如網路線、電話線或無線網路傳輸，此照護單位14可為大廈保全人員、鄰居、里長家、附近的醫療院所或救急單位等，若主機10送出警示訊息，則照護單位啟動救護機制，例如鄰居或看護會去現場實際探望是否有人需要救助。1 is a block diagram of a voice recognition and care system provided by the present invention, including a host 10, at least one child machine 12, and a care unit 14, which is installed in an indoor space such as a room for detecting The plurality of audio signals in the environment, the host 10 and the slave 12 are connected by wire or wirelessly, such as a network route or a telephone line. When the slave 12 detects the voice signal and transmits it to the host 10 for receiving, the host 10 first Judging whether it is a voice signal of a human voice, and further determining whether the content of the voice signal needs to send a warning message, such as the voice content of the voice, whether it is a dangerous abnormal sound if it is not voice; the care unit 14 and the host 10 are wired or Wireless connection, such as network route, telephone line or wireless network transmission, the care unit 14 can be a building security personnel, a neighbor, a lieutenant, a nearby medical institution or an emergency unit, etc., if the host 10 sends a warning message, The care unit initiates an ambulance mechanism, such as a neighbor or a nursing home to go to the site to actually see if someone needs help.
第2A圖為主機內部模組化方塊圖，主機10中包括一錄音模組102、一資料庫104、一聲音分析模組106及一語音辨認模組108，其中錄音模組102用以記錄儲存子機所傳送來的聲音訊號，資料庫104中儲存了預設的複數求救訊息及異常聲響，例如「救命啊」及口哨音、物品掉落在地上的碰撞聲等，聲音分析模組106將用以判斷聲音訊號是否為語音訊號，其係在聲音訊號之聲音頻譜中檢查基頻-泛頻結構是否有100~1200赫茲之基頻，若有，再檢查聲音訊號中是否具有高倍頻，皆有則將此聲音訊號歸類為人所發出之語音訊號，此方法可應用於雜訊比(signal-to-noise ratio)5dB以上的環境，足以適用於一般室內環境；語音辨認模組108係當聲音分析模組106分析出聲音訊號為語音訊號後，利用一種語音辨認法去判斷語音訊號之字句內容，此語音辨認法為目前現有的語音辨認軟體或語音辨識法，如Siri0us、K-means混合式辨識法、向量支持機、隱藏馬可夫模型，或Window7內建之語音辨識軟體等。FIG. 2A is a block diagram of the internal module of the host. The host 10 includes a recording module 102, a database 104, a sound analysis module 106, and a voice recognition module 108. The recording module 102 is used for recording and storing. The sound signal transmitted by the child machine, the database 104 stores a preset plurality of help message and an abnormal sound, such as "Help" and whistle sound, the collision sound of the item falling on the ground, etc., the sound analysis module 106 will It is used to determine whether the sound signal is a voice signal, and it is checked in the sound spectrum of the sound signal whether the fundamental frequency-overclocking structure has a fundamental frequency of 100~1200 Hz, and if so, whether the sound signal has a high frequency multiplier, Some of these sound signals are classified as voice signals from humans. This method can be applied to a signal-to-noise ratio of 5 dB or more, which is suitable for general indoor environments. The voice recognition module 108 is After the sound analysis module 106 analyzes the sound signal as a voice signal, the voice recognition method is used to determine the content of the voice signal. The voice recognition method is the existing voice recognition software or voice recognition. Law, such as Siri0us, K-means hybrid identification method, support vector machines, hidden Markov model, or Window7 built of voice recognition software and the like.
第2B圖為子機之架構示意圖，子機12外設有一麥克風陣列122，用以偵測環境中之聲音，且可分辨聲音的來源位置，子機12內設有一偵測模組124以接收該等聲音訊號，並透過子機12與主機的連線而傳送給主機，此外子機12上更設有一揚聲器126，使麥克風陣列122與揚聲器126做為對講機使用，當求救或不尋常的聲音由主機傳送到照護單位時，照護單位的人員可詢問是否發生什麼狀況，而照護人員的詢問會透過揚聲器126在子機12所在的空間發出。FIG. 2B is a schematic diagram of the sub-machine. The sub-machine 12 has a microphone array 122 for detecting the sound in the environment and distinguishing the source position of the sound. The detecting unit 124 is disposed in the sub-machine 12 to receive The audio signals are transmitted to the host through the connection between the slave 12 and the host. In addition, the handset 12 is further provided with a speaker 126, so that the microphone array 122 and the speaker 126 are used as walkie-talkies, when calling for help or unusual sounds. When transmitted from the host to the care unit, the person in the care unit can ask if something is happening, and the caregiver's inquiry will be sent through the speaker 126 in the space where the child machine 12 is located.
第3圖為本發明語音辨識照護之照護方法之流程圖，首先步驟S10語音辨識照護系統中的子機利用麥克風陣列偵測環境中同時存在之複數聲音訊號；步驟S12聲音訊號傳送到主機，主機利用聲音訊號的聲音頻譜是否包含一基頻-泛頻結構來判斷聲音訊號是否為語音訊號，且基頻-泛頻結構滿足句100~1200赫茲之基頻及具有高倍頻之特性；在步驟S14中分辨聲音訊號的內容，若聲音訊號為語音訊號，則利用現有的語音辨認法辨識語音訊號之字句內容，判斷是否包含預設在資料庫中的複數求救訊息的其中一種，而若聲音訊號為非語音訊號，則判斷其是否為預設在資料庫中的複數種異常聲響的其中一種；最後如步驟S16所述，若語音訊號之字句內容包含求救訊息，如語音訊號中有包含「救命」二字，或非語音訊號為異常聲響，例如開水燒開的聲音、哨音、玻璃破碎聲、咳嗽聲等，則主機的語音辨識照護系統對外送出一警示訊息給照護單位，以通知照護人員(如鄰居、看護)詢問或去現場察看。FIG. 3 is a flow chart of the method for protecting the voice recognition care of the present invention. First, the slave in the voice recognition and care system uses the microphone array to detect the plurality of simultaneous voice signals in the environment; and the step S12 transmits the voice signal to the host. Whether the sound spectrum of the sound signal includes a fundamental frequency-overclocking structure to determine whether the sound signal is a voice signal, and the fundamental frequency-overfrequency structure satisfies the fundamental frequency of the sentence 100~1200 Hz and has a characteristic of high frequency multiplication; in step S14 In the content of the sound signal, if the voice signal is a voice signal, the existing voice recognition method is used to identify the content of the voice signal, and it is determined whether one of the plurality of help messages preset in the database is included, and if the voice signal is If the non-speech signal is a non-speech signal, it is judged whether it is one of a plurality of abnormal sounds preset in the database; finally, as described in step S16, if the content of the voice signal contains a help message, such as a voice signal containing "help" The two-character or non-speech signal is an abnormal sound, such as the sound of boiling water, the whistle, the broken glass, Cough sound like the host of voice recognition care system sends a warning message to the external care units to inform caregivers (such as neighbors, care) or ask to inspect the scene.
綜上所述，本發明提供之語音辨識照護之方法及其系統係在房間中裝設主機或子機以監測聲音，每一間房間各裝設一台子機偵測聲音，再透過主機分析聲音訊號為語音或非語音，進一步分析聲音訊號中是否包含求救訊息或異常聲響，以決定是否需要送出警示訊息啟動救護機制，藉由判斷聲音訊號為語音訊號並分析其中的內容，更可使本發明之語音辨識照護系統用於高齡者、行動不便者或重病患者的照護，使聲音式監測系統不再僅限於偵測嬰兒哭聲，而可以對被照護者的求救採取回應，且由於監測聲音無死角，較監測影像更為準確。In summary, the method and system for voice recognition and care provided by the present invention are to install a host or a sub-machine in a room to monitor sound, and each room is equipped with a sub-machine to detect sound, and then analyze the sound through the host. The signal is voice or non-speech, and further analyze whether the voice signal contains a help message or an abnormal sound to determine whether it is necessary to send a warning message to start the ambulance mechanism. By judging the voice signal as a voice signal and analyzing the content thereof, the present invention can further The voice recognition care system is used for the care of elderly people, people with reduced mobility or seriously ill patients, so that the sound monitoring system is no longer limited to detecting baby crying, but can respond to the care of the caregiver, and because the monitoring sound is not Dead angles are more accurate than monitoring images.
唯以上所述者，僅為本發明之較佳實施例而已，並非用來限定本發明實施之範圍。故即凡依本發明申請範圍所述之特徵及精神所為之均等變化或修飾，均應包括於本發明之申請專利範圍內。The above is only the preferred embodiment of the present invention and is not intended to limit the scope of the present invention. Therefore, any changes or modifications of the features and spirits of the present invention should be included in the scope of the present invention.
10．．．主機10. . . Host
102．．．錄音模組102. . . Recording module
104．．．資料庫104. . . database
106．．．聲音分析模組106. . . Sound analysis module
108．．．語音辨認模組108. . . Voice recognition module
12．．．子機12. . . Child machine
122．．．麥克風陣列122. . . Microphone array
124．．．偵測模組124. . . Detection module
126．．．揚聲器126. . . speaker
14．．．照護單位14. . . Care unit
第1圖為本發明語音辨識照護系統之方塊圖。Figure 1 is a block diagram of a speech recognition and care system of the present invention.
第2A圖為本發明語音辨識照護系統中主機內部模組化之方塊圖。FIG. 2A is a block diagram of the internal module of the host in the voice recognition and care system of the present invention.
第2B圖為本發明語音辨識照護系統中子機之架構示意圖。FIG. 2B is a schematic structural diagram of a sub-machine in the speech recognition and care system of the present invention.
第3圖為本發明語音辨識照護之照護方法之流程圖。FIG. 3 is a flow chart of a method for protecting a voice recognition care of the present invention.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW101112630ATW201342313A (en) | 2012-04-10 | 2012-04-10 | Voice recognition nursing method and system thereof |
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW101112630ATW201342313A (en) | 2012-04-10 | 2012-04-10 | Voice recognition nursing method and system thereof |
| Publication Number | Publication Date |
|---|---|
| TW201342313Atrue TW201342313A (en) | 2013-10-16 |
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| TW101112630ATW201342313A (en) | 2012-04-10 | 2012-04-10 | Voice recognition nursing method and system thereof |
| Country | Link |
|---|---|
| TW (1) | TW201342313A (en) |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9705548B2 (en) | 2013-10-24 | 2017-07-11 | Rohm Co., Ltd. | Wristband-type handset and wristband-type alerting device |
| US9716782B2 (en) | 2010-12-27 | 2017-07-25 | Rohm Co., Ltd. | Mobile telephone |
| US9729971B2 (en) | 2012-06-29 | 2017-08-08 | Rohm Co., Ltd. | Stereo earphone |
| US9742887B2 (en) | 2013-08-23 | 2017-08-22 | Rohm Co., Ltd. | Mobile telephone |
| TWI610274B (en)* | 2014-08-20 | 2018-01-01 | Rohm Co Ltd | Nursing system, nursing detection device and nursing notification device |
| US9894430B2 (en) | 2010-12-27 | 2018-02-13 | Rohm Co., Ltd. | Incoming/outgoing-talk unit and incoming-talk unit |
| US9980024B2 (en) | 2011-02-25 | 2018-05-22 | Rohm Co., Ltd. | Hearing system and finger ring for the hearing system |
| US10079925B2 (en) | 2012-01-20 | 2018-09-18 | Rohm Co., Ltd. | Mobile telephone |
| US10356231B2 (en) | 2014-12-18 | 2019-07-16 | Finewell Co., Ltd. | Cartilage conduction hearing device using an electromagnetic vibration unit, and electromagnetic vibration unit |
| US10778824B2 (en) | 2016-01-19 | 2020-09-15 | Finewell Co., Ltd. | Pen-type handset |
| US10795321B2 (en) | 2015-09-16 | 2020-10-06 | Finewell Co., Ltd. | Wrist watch with hearing function |
| US10967521B2 (en) | 2015-07-15 | 2021-04-06 | Finewell Co., Ltd. | Robot and robot system |
| TWI747392B (en)* | 2020-07-22 | 2021-11-21 | 國立雲林科技大學 | Method and system for correcting infant crying identification |
| US11526033B2 (en) | 2018-09-28 | 2022-12-13 | Finewell Co., Ltd. | Hearing device |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9894430B2 (en) | 2010-12-27 | 2018-02-13 | Rohm Co., Ltd. | Incoming/outgoing-talk unit and incoming-talk unit |
| US9716782B2 (en) | 2010-12-27 | 2017-07-25 | Rohm Co., Ltd. | Mobile telephone |
| US10779075B2 (en) | 2010-12-27 | 2020-09-15 | Finewell Co., Ltd. | Incoming/outgoing-talk unit and incoming-talk unit |
| US9980024B2 (en) | 2011-02-25 | 2018-05-22 | Rohm Co., Ltd. | Hearing system and finger ring for the hearing system |
| US10778823B2 (en) | 2012-01-20 | 2020-09-15 | Finewell Co., Ltd. | Mobile telephone and cartilage-conduction vibration source device |
| US10079925B2 (en) | 2012-01-20 | 2018-09-18 | Rohm Co., Ltd. | Mobile telephone |
| US10158947B2 (en) | 2012-01-20 | 2018-12-18 | Rohm Co., Ltd. | Mobile telephone utilizing cartilage conduction |
| US10834506B2 (en) | 2012-06-29 | 2020-11-10 | Finewell Co., Ltd. | Stereo earphone |
| US10506343B2 (en) | 2012-06-29 | 2019-12-10 | Finewell Co., Ltd. | Earphone having vibration conductor which conducts vibration, and stereo earphone including the same |
| US9729971B2 (en) | 2012-06-29 | 2017-08-08 | Rohm Co., Ltd. | Stereo earphone |
| US10075574B2 (en) | 2013-08-23 | 2018-09-11 | Rohm Co., Ltd. | Mobile telephone |
| US9742887B2 (en) | 2013-08-23 | 2017-08-22 | Rohm Co., Ltd. | Mobile telephone |
| US10237382B2 (en) | 2013-08-23 | 2019-03-19 | Finewell Co., Ltd. | Mobile telephone |
| US10103766B2 (en) | 2013-10-24 | 2018-10-16 | Rohm Co., Ltd. | Wristband-type handset and wristband-type alerting device |
| US9705548B2 (en) | 2013-10-24 | 2017-07-11 | Rohm Co., Ltd. | Wristband-type handset and wristband-type alerting device |
| TWI610274B (en)* | 2014-08-20 | 2018-01-01 | Rohm Co Ltd | Nursing system, nursing detection device and nursing notification device |
| US10380864B2 (en) | 2014-08-20 | 2019-08-13 | Finewell Co., Ltd. | Watching system, watching detection device, and watching notification device |
| US10013862B2 (en) | 2014-08-20 | 2018-07-03 | Rohm Co., Ltd. | Watching system, watching detection device, and watching notification device |
| US10356231B2 (en) | 2014-12-18 | 2019-07-16 | Finewell Co., Ltd. | Cartilage conduction hearing device using an electromagnetic vibration unit, and electromagnetic vibration unit |
| US10848607B2 (en) | 2014-12-18 | 2020-11-24 | Finewell Co., Ltd. | Cycling hearing device and bicycle system |
| US11601538B2 (en) | 2014-12-18 | 2023-03-07 | Finewell Co., Ltd. | Headset having right- and left-ear sound output units with through-holes formed therein |
| US10967521B2 (en) | 2015-07-15 | 2021-04-06 | Finewell Co., Ltd. | Robot and robot system |
| US10795321B2 (en) | 2015-09-16 | 2020-10-06 | Finewell Co., Ltd. | Wrist watch with hearing function |
| US10778824B2 (en) | 2016-01-19 | 2020-09-15 | Finewell Co., Ltd. | Pen-type handset |
| US11526033B2 (en) | 2018-09-28 | 2022-12-13 | Finewell Co., Ltd. | Hearing device |
| TWI747392B (en)* | 2020-07-22 | 2021-11-21 | 國立雲林科技大學 | Method and system for correcting infant crying identification |
| US11380348B2 (en) | 2020-07-22 | 2022-07-05 | National Yunlin University Of Science And Technology | Method and system for correcting infant crying identification |
| Publication | Publication Date | Title |
|---|---|---|
| TW201342313A (en) | Voice recognition nursing method and system thereof | |
| CN105489217A (en) | Method and system of monitoring the aged through sound by means of internet of things | |
| CN104851424A (en) | Voice recognition caring and nursing method and system | |
| US20180218593A1 (en) | Portable security device that communicates with home security system monitoring service | |
| JP2010033518A (en) | Alarm | |
| JP7222455B2 (en) | Security system, security device and dialogue terminal | |
| CN114038162A (en) | Vulnerable user nursing and alarming method, equipment and medium | |
| CN113938645A (en) | Big data wisdom community monitored control system | |
| US12231257B2 (en) | System, method and apparatus for propagating a primary alert of a monitoring system or device | |
| US20190228628A1 (en) | Audio monitoring system | |
| JP5350705B2 (en) | Controller device | |
| KR102662452B1 (en) | Smart Emergency Bell Device and Alert System Using the Same | |
| CN206743453U (en) | Lift running safety monitoring system based on Internet of Things | |
| CN218273143U (en) | Digital twin monitoring system | |
| CN205375740U (en) | Wireless fire alarm and intelligent monitoring system | |
| CN209947074U (en) | Fire control passageway prevents blockking up early warning system | |
| JP5363215B2 (en) | Security system | |
| TWI574232B (en) | Security Host having Internet-of-Things Communication Function | |
| CN201404610Y (en) | Warning system used in fire fighting site | |
| KR101629219B1 (en) | An elevator monitor that restricts access through face recognition | |
| US20220036722A1 (en) | Emergency remote data access based on an emergency communication link and sensor data | |
| CN105788158A (en) | Intelligent and independent type fire alarming and monitoring system | |
| JP2006235996A (en) | Warning system and warning device | |
| CN106530587A (en) | Intelligent independent fire alarm and monitoring system | |
| KR101798035B1 (en) | LED lighting device and Smart monitoring system using the same |