CN107571735A - A kind of vehicle drivers status monitoring system and monitoring method - Google Patents
A kind of vehicle drivers status monitoring system and monitoring method Download PDFInfo
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- CN107571735A CN107571735A CN201710950239.9A CN201710950239A CN107571735A CN 107571735 A CN107571735 A CN 107571735A CN 201710950239 A CN201710950239 A CN 201710950239A CN 107571735 A CN107571735 A CN 107571735A
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Abstract
Present invention is disclosed a kind of vehicle drivers status monitoring system and monitoring method, obtains driver's image information and fatigue state information by video surveillance mechanism, and driver is warned when driver is in fatigue state；Vital sign mechanism for monitoring obtains driver's vital sign information, vital sign abnormalities information, and driver is warned in driver's vital sign abnormalities；Driver's image information, fatigue state information, driver's vital sign information, vital sign abnormalities information are sent to control centre and establish driver status Test database and detected driver personal archives by intelligent mobile terminal.The present invention is combined using video surveillance mechanism and vital sign mechanism for monitoring, vehicle drivers status is monitored in real time, operational motor vehicles can be substantially reduced and the probability of accident occur, and the information for obtaining video surveillance mechanism and vital sign mechanism for monitoring is uploaded to control centre, the convenient management for carrying out operational motor vehicles driver.
Description
Technical field
The present invention relates to technical field of intelligent traffic, and in particular to a kind of status monitoring for operational motor vehicles driver
System and monitoring method.
Background technology
With the development of the social economy, motor vehicles are growing day by day, congestion in road has become very important society and asked
Topic, an important channel of solving road congestion problems is exactly to greatly develop the public transport based on operational motor vehicles, example
Such as bus, taxi, operational motor vehicles are travelled in wagon flow, Ren Liuzhong, and the operating pressure of driver is huge, when easily because long
Between drive cause it is tired and do not feel changes of vital signs.Research shows：The reason for causing automobile collision accident 25-30% is produced
Driving fatigue is born in, self-consciousness caused by changes of vital signs of the 10-20% from driver itself is out of control.In order to prevent to hand over
Interpreter thus generation, the state of operational motor vehicles driver, which is monitored, becomes very necessary.
The content of the invention
It is an object of the invention to provide a kind of vehicle drivers status monitoring system and monitoring method.
For achieving the above object, the present invention adopts the following technical scheme that：
A kind of vehicle drivers status monitoring system, including video surveillance mechanism, vital sign mechanism for monitoring, intelligent sliding
Dynamic terminal, control centre；
The video surveillance mechanism includes：
Image capture device, described image collecting device are fixedly installed in front of driver, to gather driver's image letter
Breath；
First local computing module, the first local computing module communicates to connect with described image collecting device, to connect
Driver's image information of described image collecting device collection is received, and driver's image information is analyzed, judges driver
Whether fatigue state is in, draws fatigue state information；
First siren, first siren communicates to connect with the described first local computing module, with driver
Fatigue state information is received when fatigue state and driver is warned；
First memory, the first memory communicates to connect with the described first local computing module, with memory of driving person
Image information and fatigue state information；
First communication module, the first communication module communicate to connect with the described first local computing module, will drive
Member's image information and fatigue state information are sent to intelligent mobile terminal；
The vital sign mechanism for monitoring includes：
Vital sign collecting device, the vital sign collecting device is worn on driver's arm, to gather driver
Vital sign information；
Second local computing module, the second local computing module communicate to connect with the vital sign collecting device,
To receive driver's vital sign information of the vital sign collecting device collection, and driver's vital sign information is carried out
Analysis, judge driver whether vital sign abnormalities, draw vital sign abnormalities information；
Second siren, second siren communicates to connect with the described second local computing module, to be given birth in driver
Vital sign abnormalities information is received when ordering sign exception and driver is warned；
Second memory, the second memory communicates to connect with the described second local computing module, with memory of driving person
Vital sign information and vital sign abnormalities information；
Second communication module, the second communication module communicate to connect with the described second local computing module, will drive
Member's vital sign information and vital sign abnormalities information are sent to intelligent mobile terminal；
Intelligent mobile terminal, the intelligent mobile terminal and video surveillance mechanism, vital sign mechanism for monitoring, control centre
Communicate to connect, by the driver's image information received, fatigue state information, driver's vital sign information, life entity
Sign abnormal information is sent to control centre；
Control centre, the control centre is according to driver's image information, fatigue state information, driver's life entity reference
Breath, vital sign abnormalities information establish driver status Test database and detected driver personal archives.
Further, described image collecting device includes B/W camera and colour TV camera.
Further, the vital sign collecting device includes blood pressure sensor, body temperature transducer, pulse transducer.
Further, the first communication module and the second communication module are WIFI module or bluetooth module.
Further, the intelligent mobile terminal is smart mobile phone or tablet personal computer.
To realize above-mentioned another goal of the invention, the present invention adopts the following technical scheme that：
A kind of vehicle drivers status monitoring method, comprises the following steps：
Step 1: driver's image information and fatigue state information are obtained by video surveillance mechanism, and at driver
Driver is warned when fatigue state；
Driver's vital sign information, vital sign abnormalities information are obtained by vital sign mechanism for monitoring, and driven
Driver is warned during member's vital sign abnormalities；
Step 2: by intelligent mobile terminal by driver's image information, fatigue state information, driver's life entity reference
Breath, vital sign abnormalities information are sent to control centre；
Step 3: control centre is according to driver's image information, fatigue state information, driver's vital sign information, life
Life sign abnormal information establishes driver status Test database and detected driver personal archives.
Further, step 1 includes gathering driver's image information by image capture device and is transferred to first locally
Computing module, the first local computing module identifies human eye state by image recognition program, big when human eye eye closing frequency or time
Judge that driver is in fatigue state when default first predetermined threshold value information, it is yes to draw fatigue state information, notifies first
Siren is warned to driver.
Further, step 1 includes gathering driver's image information by image capture device and is transferred to first locally
Computing module, the first local computing module identify facial contour by image recognition program, and comparing facial contour by the cycle is
It is no it is identical draw the continuous driving time of driver, judge to drive when the continuous driving time of driver is more than the second predetermined threshold value information
The person of sailing is in fatigue state, and it is yes to draw fatigue state information, notifies the first siren to warn driver.
Further, step 1 includes gathering driver's vital sign information by vital sign collecting device and is transferred to
Second local computing module, the second local computing module is by comparing driver's vital sign information and the 3rd predetermined threshold value information
Judge whether driver's vital sign is abnormal, when vital sign abnormalities information is to be, notify the second siren to show driver
It is alert.
Relative to prior art, the technical effects of the invention are that：
The present invention is combined using video surveillance mechanism and vital sign mechanism for monitoring, and vehicle drivers status is carried out
Monitoring in real time, operational motor vehicles can be substantially reduced and the probability of accident occur, and video surveillance mechanism and vital sign are monitored
The information that mechanism obtains is uploaded to control centre, the convenient management for carrying out operational motor vehicles driver.
Brief description of the drawings
Fig. 1 is a kind of configuration diagram of vehicle drivers status monitoring system in embodiment of the present invention；
Fig. 2 is the configuration diagram of video surveillance mechanism in embodiment of the present invention；
Fig. 3 is the configuration diagram of vital sign mechanism for monitoring in embodiment of the present invention.
Embodiment
Below with reference to embodiment shown in the drawings, the present invention will be described in detail.But these embodiments are simultaneously
The present invention is not limited, structure that one of ordinary skill in the art is made according to these embodiments, method or functionally
Conversion is all contained in protection scope of the present invention.
One embodiment of the present invention presented below：
Refer to Fig. 1 to 3, a kind of vehicle drivers status monitoring system, including video surveillance mechanism, vital sign prison
Survey mechanism, intelligent mobile terminal, control centre；
The video surveillance mechanism includes：
Image capture device, described image collecting device are fixedly installed in front of driver, to gather driver's image letter
Breath；
First local computing module, the first local computing module communicates to connect with described image collecting device, to connect
Driver's image information of described image collecting device collection is received, and driver's image information is analyzed, judges driver
Whether fatigue state is in, draws fatigue state information；
First siren, first siren communicates to connect with the described first local computing module, with driver
Fatigue state information is received when fatigue state and driver is warned；
First memory, the first memory communicates to connect with the described first local computing module, with memory of driving person
Image information and fatigue state information；
First communication module, the first communication module communicate to connect with the described first local computing module, will drive
Member's image information and fatigue state information are sent to intelligent mobile terminal；
The vital sign mechanism for monitoring includes：
Vital sign collecting device, the vital sign collecting device is worn on driver's arm, to gather driver
Vital sign information；
Second local computing module, the second local computing module communicate to connect with the vital sign collecting device,
To receive driver's vital sign information of the vital sign collecting device collection, and driver's vital sign information is carried out
Analysis, judge driver whether vital sign abnormalities, draw vital sign abnormalities information；
Second siren, second siren communicates to connect with the described second local computing module, to be given birth in driver
Vital sign abnormalities information is received when ordering sign exception and driver is warned；
Second memory, the second memory communicates to connect with the described second local computing module, with memory of driving person
Vital sign information and vital sign abnormalities information；
Second communication module, the second communication module communicate to connect with the described second local computing module, will drive
Member's vital sign information and vital sign abnormalities information are sent to intelligent mobile terminal；
Intelligent mobile terminal, the intelligent mobile terminal and video surveillance mechanism, vital sign mechanism for monitoring, control centre
Communicate to connect, by the driver's image information received, fatigue state information, driver's vital sign information, life entity
Sign abnormal information is sent to control centre；
Control centre, the control centre is according to driver's image information, fatigue state information, driver's life entity reference
Breath, vital sign abnormalities information establish driver status Test database and detected driver personal archives.
Further, described image collecting device includes B/W camera and colour TV camera.B/W camera collection is used
In driver's image information that the first local computing module is analyzed, colour TV camera gathers to be drawn for real-time display driver
Driver's image information in face.
Further, the vital sign collecting device includes blood pressure sensor, body temperature transducer, pulse transducer.
Further, the first communication module and the second communication module are WIFI module or bluetooth module.
Further, the intelligent mobile terminal is smart mobile phone or tablet personal computer.
To realize above-mentioned another goal of the invention, the present invention adopts the following technical scheme that：
A kind of vehicle drivers status monitoring method, comprises the following steps：
Step 1: driver's image information and fatigue state information are obtained by video surveillance mechanism, and at driver
Driver is warned when fatigue state；
Driver's vital sign information, vital sign abnormalities information are obtained by vital sign mechanism for monitoring, and driven
Driver is warned during member's vital sign abnormalities；
Step 2: by intelligent mobile terminal by driver's image information, fatigue state information, driver's life entity reference
Breath, vital sign abnormalities information are sent to control centre；
Step 3: control centre is according to driver's image information, fatigue state information, driver's vital sign information, life
Life sign abnormal information establishes driver status Test database and detected driver personal archives.
Further, step 1 includes gathering driver's image information by image capture device and is transferred to first locally
Computing module, the first local computing module identifies human eye state by image recognition program, big when human eye eye closing frequency or time
Judge that driver is in fatigue state when default first predetermined threshold value information, it is yes to draw fatigue state information, notifies first
Siren is warned to driver.
Conversely, it is tired to judge that driver is not at when human eye eye closing frequency or time being less than default first predetermined threshold value information
Labor state, it is no to draw fatigue state information, does not notify the first siren to warn driver.
First predetermined threshold value information includes eye closing upper frequency limit value and closed-eye time higher limit.
Further, step 1 includes gathering driver's image information by image capture device and is transferred to first locally
Computing module, the first local computing module identify facial contour by image recognition program, and comparing facial contour by the cycle is
It is no it is identical draw the continuous driving time of driver, judge to drive when the continuous driving time of driver is more than the second predetermined threshold value information
The person of sailing is in fatigue state, and it is yes to draw fatigue state information, notifies the first siren to warn driver.
Conversely, judge that driver is not at tired shape when continuous driving time is less than preset second level threshold information
State, it is no to draw fatigue state information, does not notify the first siren to warn driver.
Compare whether facial contour is identical to draw the continuous driving time of driver by the cycle, specifically, cycle time (example
Such as 1 minute) compare a facial contour, if it is determined that then continuous driving time adds up a cycle time same people.Second
Predetermined threshold value information is temporal information, and administrative staff can voluntarily be set, such as is set to 4 hours.
Further, step 1 includes gathering driver's vital sign information by vital sign collecting device and is transferred to
Second local computing module, the second local computing module is by comparing driver's vital sign information and the 3rd predetermined threshold value information
Judge whether driver's vital sign is abnormal, when vital sign abnormalities information is to be, notify the second siren to show driver
It is alert.
3rd predetermined threshold value information includes blood pressure range value, body temperature value, the pulse range value of normal person.
Relative to prior art, the technical effects of the invention are that：
The present invention is combined using video surveillance mechanism and vital sign mechanism for monitoring, and vehicle drivers status is carried out
Monitoring in real time, operational motor vehicles can be substantially reduced and the probability of accident occur, and video surveillance mechanism and vital sign are monitored
The information that mechanism obtains is uploaded to control centre, the convenient management for carrying out operational motor vehicles driver.
Finally it should be noted that：Embodiment of above is merely illustrative of the technical solution of the present invention, rather than its limitations；To the greatest extent
The present invention is described in detail with reference to aforementioned embodiments for pipe, it will be understood by those within the art that：Its according to
The technical scheme described in foregoing each embodiment can so be modified, or which part technical characteristic is equal
Replace；And these modifications or replacement, the essence of appropriate technical solution is departed from each embodiment technical scheme of the present invention
Spirit and scope.
Claims (9)
1. a kind of vehicle drivers status monitoring system, it is characterised in that including video surveillance mechanism, vital sign monitoring machine
Structure, intelligent mobile terminal, control centre；
The video surveillance mechanism includes：
Image capture device, described image collecting device is fixedly installed in front of driver, to gather driver's image information；
First local computing module, the first local computing module communicates to connect with described image collecting device, to receive
Driver's image information of image capture device collection is stated, and driver's image information is analyzed, whether judges driver
In fatigue state, fatigue state information is drawn；
First siren, first siren communicate to connect with the described first local computing module, to be in tired in driver
Fatigue state information is received during labor state and driver is warned；
First memory, the first memory communicates to connect with the described first local computing module, with memory of driving person's image
Information and fatigue state information；
First communication module, the first communication module communicate to connect with the described first local computing module, driver are schemed
As information and fatigue state information are sent to intelligent mobile terminal；
The vital sign mechanism for monitoring includes：
Vital sign collecting device, the vital sign collecting device are worn on driver's arm, to gather driver's life
Sign information；
Second local computing module, the second local computing module communicates to connect with the vital sign collecting device, to connect
Driver's vital sign information of the vital sign collecting device collection is received, and driver's vital sign information is divided
Analysis, judge driver whether vital sign abnormalities, draw vital sign abnormalities information；
Second siren, second siren communicates to connect with the described second local computing module, with driver's life entity
Vital sign abnormalities information is received when levying abnormal and driver is warned；
Second memory, the second memory communicates to connect with the described second local computing module, with memory of driving person's life
Sign information and vital sign abnormalities information；
Second communication module, the second communication module communicate to connect with the described second local computing module, driver are given birth to
Life sign information and vital sign abnormalities information are sent to intelligent mobile terminal；
Intelligent mobile terminal, the intelligent mobile terminal are logical with video surveillance mechanism, vital sign mechanism for monitoring, control centre
Letter connection, the driver's image information received, fatigue state information, driver's vital sign information, vital sign is different
Normal information is sent to control centre；
Control centre, the control centre according to driver's image information, fatigue state information, driver's vital sign information,
Vital sign abnormalities information establishes driver status Test database and detected driver personal archives.
2. a kind of vehicle drivers status monitoring system according to claim 1, it is characterised in that described image gathers
Equipment includes B/W camera and colour TV camera.
A kind of 3. vehicle drivers status monitoring system according to claim 1, it is characterised in that the vital sign
Collecting device includes blood pressure sensor, body temperature transducer, pulse transducer.
A kind of 4. vehicle drivers status monitoring system according to claim 1, it is characterised in that first communication
Module and the second communication module are WIFI module or bluetooth module.
A kind of 5. vehicle drivers status monitoring system according to claim 1, it is characterised in that the intelligent mobile
Terminal is smart mobile phone or tablet personal computer.
6. a kind of vehicle drivers status monitoring method, it is characterised in that comprise the following steps：
Step 1: obtaining driver's image information and fatigue state information by video surveillance mechanism, and it is in tired in driver
Driver is warned during labor state；
Driver's vital sign information, vital sign abnormalities information are obtained by vital sign mechanism for monitoring, and given birth in driver
Driver is warned when ordering sign exception；
Step 2: by intelligent mobile terminal by driver's image information, fatigue state information, driver's vital sign information,
Vital sign abnormalities information is sent to control centre；
Step 3: control centre is according to driver's image information, fatigue state information, driver's vital sign information, life entity
Sign abnormal information establishes driver status Test database and detected driver personal archives.
7. a kind of vehicle drivers status monitoring method according to claim 6, it is characterised in that step 1 includes logical
Cross image capture device collection driver's image information and be transferred to the first local computing module, the first local computing module passes through
Image recognition program identifies human eye state, when human eye eye closing frequency or time are driven more than judgement when presetting the first predetermined threshold value information
The person of sailing is in fatigue state, and it is yes to draw fatigue state information, notifies the first siren to warn driver.
8. a kind of vehicle drivers status monitoring method according to claim 6, it is characterised in that step 1 includes logical
Cross image capture device collection driver's image information and be transferred to the first local computing module, the first local computing module passes through
Image recognition program identifies facial contour, compares whether facial contour is identical to draw the continuous driving time of driver by the cycle,
Judge that driver is in fatigue state, draws fatigue state when the continuous driving time of driver is more than the second predetermined threshold value information
Information is yes, notifies the first siren to warn driver.
9. a kind of vehicle drivers status monitoring method according to claim 6, it is characterised in that step 1 includes logical
Cross vital sign collecting device collection driver's vital sign information and be transferred to the second local computing module, the second local computing
Module judges whether driver's vital sign is abnormal by comparing driver's vital sign information and the 3rd predetermined threshold value information, when
Vital sign abnormalities information is when being, to notify the second siren to warn driver.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109327547A (en) * | 2018-11-26 | 2019-02-12 | 湖北大学 | A kind of vehicle-mounted round-the-clock health monitoring analysis platform of wisdom |
| CN109409207A (en) * | 2018-09-10 | 2019-03-01 | 百度在线网络技术（北京）有限公司 | The recognition methods of passenger status, device, equipment and storage medium in unmanned vehicle |
| CN109472253A (en) * | 2018-12-28 | 2019-03-15 | 华人运通控股有限公司 | Vehicle traveling intelligent based reminding method, device, intelligent steering wheel and Intelligent bracelet |
| CN109849660A (en) * | 2019-01-29 | 2019-06-07 | 合肥革绿信息科技有限公司 | A kind of vehicle safety control system |
| CN113285998A (en) * | 2021-05-20 | 2021-08-20 | 江西北斗应用科技有限公司 | Driver management terminal and unmanned aerial vehicle supervisory systems |
| CN114469026A (en) * | 2022-01-21 | 2022-05-13 | 北京理工大学前沿技术研究院 | Driver vital sign monitoring method and system |
| CN116416757A (en) * | 2023-01-13 | 2023-07-11 | 润芯微科技(江苏)有限公司 | Vital sign monitoring linkage vehicle-mounted machine alarm method and system |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009293996A (en) * | 2008-06-03 | 2009-12-17 | Toyota Motor Corp | Driver's fatigue degree estimation apparatus and driver's fatigue degree estimation method |
| CN101673464A (en) * | 2009-09-27 | 2010-03-17 | 上海大学 | Intelligent management system of fatigue driving |
| JP2012113477A (en) * | 2010-11-24 | 2012-06-14 | Denso Corp | Driving fatigue degree determination device |
| CN103092160A (en) * | 2012-12-27 | 2013-05-08 | 深圳市元征软件开发有限公司 | Vehicle-mounted monitoring system with eye identification, vehicle-mounted monitoring method and vehicle-mounted terminal |
| US20160046298A1 (en) * | 2014-08-18 | 2016-02-18 | Trimble Navigation Limited | Detection of driver behaviors using in-vehicle systems and methods |
| CN106218405A (en) * | 2016-08-12 | 2016-12-14 | 深圳市元征科技股份有限公司 | Fatigue driving monitoring method and cloud server |
| CN106491104A (en) * | 2016-10-25 | 2017-03-15 | 湖南大学 | Driver status intelligent real time monitoring system and method based on Intelligent worn device |
| CN106530623A (en) * | 2016-12-30 | 2017-03-22 | 南京理工大学 | Fatigue driving detection device and method |
-
2017
- 2017-10-13 CN CN201710950239.9A patent/CN107571735A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009293996A (en) * | 2008-06-03 | 2009-12-17 | Toyota Motor Corp | Driver's fatigue degree estimation apparatus and driver's fatigue degree estimation method |
| CN101673464A (en) * | 2009-09-27 | 2010-03-17 | 上海大学 | Intelligent management system of fatigue driving |
| JP2012113477A (en) * | 2010-11-24 | 2012-06-14 | Denso Corp | Driving fatigue degree determination device |
| CN103092160A (en) * | 2012-12-27 | 2013-05-08 | 深圳市元征软件开发有限公司 | Vehicle-mounted monitoring system with eye identification, vehicle-mounted monitoring method and vehicle-mounted terminal |
| US20160046298A1 (en) * | 2014-08-18 | 2016-02-18 | Trimble Navigation Limited | Detection of driver behaviors using in-vehicle systems and methods |
| CN106218405A (en) * | 2016-08-12 | 2016-12-14 | 深圳市元征科技股份有限公司 | Fatigue driving monitoring method and cloud server |
| CN106491104A (en) * | 2016-10-25 | 2017-03-15 | 湖南大学 | Driver status intelligent real time monitoring system and method based on Intelligent worn device |
| CN106530623A (en) * | 2016-12-30 | 2017-03-22 | 南京理工大学 | Fatigue driving detection device and method |
Non-Patent Citations (1)
| Title |
|---|
| 文力，董焰: "车辆与道路交通管理及事故鉴定赔偿", vol. 1, 长城出版社, pages: 449 - 452 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109409207A (en) * | 2018-09-10 | 2019-03-01 | 百度在线网络技术（北京）有限公司 | The recognition methods of passenger status, device, equipment and storage medium in unmanned vehicle |
| CN109409207B (en) * | 2018-09-10 | 2022-04-12 | 阿波罗智能技术(北京)有限公司 | Method, device, equipment and storage medium for recognizing passenger state in unmanned vehicle |
| US11315349B2 (en) | 2018-09-10 | 2022-04-26 | Apollo Intelligent Driving Technology (Beijing) Co., Ltd. | Method, apparatus and device for identifying passenger state in unmanned vehicle, and storage medium |
| CN109327547A (en) * | 2018-11-26 | 2019-02-12 | 湖北大学 | A kind of vehicle-mounted round-the-clock health monitoring analysis platform of wisdom |
| CN109472253A (en) * | 2018-12-28 | 2019-03-15 | 华人运通控股有限公司 | Vehicle traveling intelligent based reminding method, device, intelligent steering wheel and Intelligent bracelet |
| CN109472253B (en) * | 2018-12-28 | 2024-04-16 | 华人运通(上海)云计算科技有限公司 | Driving safety intelligent reminding method and device, intelligent steering wheel and intelligent bracelet |
| CN109849660A (en) * | 2019-01-29 | 2019-06-07 | 合肥革绿信息科技有限公司 | A kind of vehicle safety control system |
| CN113285998A (en) * | 2021-05-20 | 2021-08-20 | 江西北斗应用科技有限公司 | Driver management terminal and unmanned aerial vehicle supervisory systems |
| CN114469026A (en) * | 2022-01-21 | 2022-05-13 | 北京理工大学前沿技术研究院 | Driver vital sign monitoring method and system |
| CN116416757A (en) * | 2023-01-13 | 2023-07-11 | 润芯微科技(江苏)有限公司 | Vital sign monitoring linkage vehicle-mounted machine alarm method and system |
| CN116416757B (en) * | 2023-01-13 | 2023-10-27 | 润芯微科技(江苏)有限公司 | Vital sign monitoring linkage vehicle-mounted machine alarm method and system |
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