CN106448055B - Monitoring alarm method and device - Google Patents
Monitoring alarm method and device Download PDFInfo
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- CN106448055B CN106448055B CN201611191415.7A CN201611191415A CN106448055B CN 106448055 B CN106448055 B CN 106448055B CN 201611191415 A CN201611191415 A CN 201611191415A CN 106448055 B CN106448055 B CN 106448055B
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- heart rate
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- 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
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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
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
Abstract
The invention discloses a monitoring alarm method and a monitoring alarm device. Wherein the method comprises the following steps: acquiring face image information in a monitoring picture; acquiring facial expression information corresponding to the facial image information; acquiring a heart rate value corresponding to the facial expression information according to the facial expression information; and triggering alarm operation when the heart rate value exceeds a preset heart rate threshold range. By the mode, the abnormal condition can be detected in real time, and the alarm is given in real time when the abnormal condition is detected, so that the potential safety hazard is effectively reduced.
Description
Technical Field
The invention belongs to the field of communication, and particularly relates to a monitoring alarm method and device.
Background
Various camera-based monitoring devices are available everywhere in public places (e.g., supermarkets, subway stations, bus stations, train stations, etc.). The monitoring equipment shoots and records pictures in the monitoring range so as to perform reference analysis when disputes or abnormalities occur.
Although the monitoring equipment can monitor the words of people through the pictures shot by the camera, the spider silk horse trail can be found from the monitoring pictures only when the monitoring personnel play back the monitoring video after the occurrence of the event, the real-time performance is poor, and the spider silk horse trail cannot be found in time when the abnormal condition occurs.
Disclosure of Invention
The invention provides a monitoring alarm method and device, which can detect abnormal conditions in real time and alarm in real time, thereby effectively reducing potential safety hazards.
To solve the above problem, a first aspect of the present invention provides a method for monitoring an alarm, the method comprising:
acquiring face image information in a monitoring picture;
acquiring facial expression information corresponding to the facial image information;
acquiring a heart rate value corresponding to the facial expression information according to the facial expression information;
and triggering alarm operation when the heart rate value exceeds a preset heart rate threshold range.
In order to solve the above problem, the present invention provides in a second aspect an apparatus for monitoring an alarm, the apparatus comprising:
the first acquisition module is used for acquiring face image information in a monitoring picture;
the second acquisition module is used for acquiring facial expression information corresponding to the facial image information;
the third acquisition module is used for acquiring a heart rate value corresponding to the facial expression information according to the facial expression information;
and the early warning module is used for triggering alarm operation when the heart rate value exceeds a preset heart rate threshold range.
According to the scheme, the monitoring equipment acquires face image information in a monitoring picture; acquiring facial expression information corresponding to the facial image information; acquiring a heart rate value corresponding to the facial expression information according to the facial expression information; and triggering alarm operation when the heart rate value exceeds a preset heart rate threshold range. Because the monitoring equipment can detect the abnormal conditions in real time and give an alarm in real time when the abnormal conditions are detected, the potential safety hazard is effectively reduced.
Drawings
FIG. 1 is a flow diagram of one embodiment of a method of monitoring alarms in accordance with the present invention;
FIG. 2 is a flow chart of another embodiment of a method of monitoring alarms according to the present invention;
FIG. 3 is a schematic diagram of an embodiment of the apparatus for monitoring alarms according to the present invention;
fig. 4 is a schematic structural diagram of another embodiment of the device for monitoring alarms according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for monitoring an alarm according to an embodiment of the present invention. The execution main body of the monitoring alarm method is monitoring equipment with a camera. The monitoring device may be a video monitor or a monitoring camera, etc., without limitation. The method for monitoring and alarming in the embodiment comprises the following steps:
s101: and acquiring the face image information in the monitoring picture.
When the monitoring equipment works normally, a video image in a monitoring range is shot through the camera, and face image information is obtained from the video image by adopting a face recognition technology.
It is understood that there may be one or at least two faces contained in the video image, and the present invention is not limited thereto. When the video image comprises at least two faces, the monitoring equipment acquires face image information corresponding to the at least two faces respectively.
S102: and acquiring facial expression information corresponding to the facial image information.
And the monitoring equipment acquires facial expression information corresponding to the facial image information.
S103: and acquiring a heart rate value corresponding to the facial expression information according to the facial expression information.
The monitoring equipment acquires feature information of facial expression information corresponding to the facial image information, and acquires a heart rate value corresponding to the facial expression information corresponding to the facial image information according to a preset corresponding relationship between the feature information corresponding to the facial expression information and the heart rate value.
The feature information of the facial expression information may be a light intensity value corresponding to the facial expression, or may be emotion classification information (for example, tension, dismissal, joy, etc.) corresponding to the facial expression, but is not limited thereto, and may also be other feature information, and is not limited herein.
The monitoring equipment judges whether the acquired heart rate value exceeds a preset heart rate threshold range, and when the heart rate value exceeds the preset heart rate threshold range, the step S104 is executed; otherwise, no processing is performed, and the process may return to step S101.
S104: and triggering alarm operation when the heart rate value exceeds a preset heart rate threshold range.
When confirming that the currently acquired heart rate value exceeds the preset heart rate threshold range, the monitoring equipment triggers an alarm operation to prompt a monitor to perform key monitoring on a target object corresponding to the heart rate information meeting the preset requirement, so that an early warning function is achieved.
The preset heart rate threshold range is used to identify a normal heart rate value range. According to the scheme, the monitoring equipment acquires face image information in a monitoring picture; acquiring facial expression information corresponding to the facial image information; acquiring a heart rate value corresponding to the facial expression information according to the facial expression information; and triggering alarm operation when the heart rate value exceeds a preset heart rate threshold range. Because the monitoring equipment can detect the abnormal conditions in real time and give an alarm in real time when the abnormal conditions are detected, the potential safety hazard is effectively reduced.
Referring to fig. 2, fig. 2 is a flowchart illustrating another embodiment of a method for monitoring alarms according to the present invention. The execution main body of the monitoring alarm method is monitoring equipment with a camera. The monitoring device may be a video monitor or a monitoring camera, etc., without limitation. The method for monitoring and alarming in the embodiment comprises the following steps:
s201: and acquiring the face image information in the monitoring picture.
When the monitoring equipment works normally, a video image in a monitoring range is shot through the camera, and face image information is obtained from the video image by adopting a face recognition technology.
It is understood that there may be one or at least two faces contained in the video image, and the present invention is not limited thereto. When the video image comprises at least two faces, the monitoring equipment acquires face image information corresponding to the at least two faces respectively.
S202: and acquiring facial expression information corresponding to the facial image information.
And the monitoring equipment acquires facial expression information corresponding to the facial image information.
S203: and acquiring a heart rate value corresponding to the face image information according to the facial expression information.
The monitoring equipment acquires feature information of facial expression information corresponding to the facial image information, and acquires a heart rate value corresponding to the facial expression information corresponding to the facial image information according to a preset corresponding relationship between the feature information corresponding to the facial expression information and the heart rate value.
The feature information of the facial expression information may be a light intensity value corresponding to the facial expression, or may be emotion classification information (for example, tension, dismissal, joy, etc.) corresponding to the facial expression, but is not limited thereto, and may also be other feature information, and is not limited herein.
Further, step S203 may include: acquiring light intensity information corresponding to the facial expression information; and acquiring a heart rate value corresponding to the facial expression information according to the light intensity information corresponding to the facial expression information.
The monitoring equipment acquires light intensity information corresponding to facial expression information corresponding to the facial image information, and calculates a heart rate value corresponding to the facial expression information according to changes of the light intensity information corresponding to the facial expression information.
When the human heart beats, the light intensity corresponding to the facial expression also changes periodically, and the heart rate value can be calculated according to the change of the light intensity information corresponding to the facial expression.
Further, the obtaining of the heart rate value corresponding to the facial expression information according to the light intensity information corresponding to the facial expression information may specifically include: acquiring the light transmittance of the pulse in the facial expression information according to the light intensity information corresponding to the facial expression information; and acquiring a heart rate value corresponding to the facial expression information according to the light transmittance of the pulse in the facial expression information.
For example, the monitoring device may obtain the light transmittance of the pulse in the facial expression information according to the light intensity information corresponding to the facial expression information, and calculate the heart rate value corresponding to the facial expression information according to the change of the light transmittance of the pulse in the facial expression information.
Further, obtaining a heart rate value corresponding to the facial expression information according to the transmittance of the pulse in the facial expression information includes: determining state information of the pulse according to the light transmittance of the pulse in the facial expression information; wherein the state information comprises a diastolic state or a systolic state; and calculating a heart rate value corresponding to the facial expression information according to the state information of the pulse.
For example, the pulse has two states of relaxation and contraction, and when the pulse contracts, arteries (including arteries at the tip of a finger) become congested and the light transmittance decreases; conversely, upon diastole, the light transmittance decreases.
The monitoring device can preset a first light transmittance (or a variation range corresponding to the first light transmittance) corresponding to the pulse in the diastolic state, and set a second light transmittance (or a variation range corresponding to the second light transmittance) corresponding to the pulse in the systolic state.
When the monitoring device obtains the light transmittance of the pulse in the facial expression information, the light transmittance is compared with the first light transmittance and the second light transmittance, so that whether the pulse is in a diastolic state or a systolic state at present is determined, and the number of the pulse in the diastolic state and the number of the pulse in the systolic state are counted. Because the heart does not beat once to complete contraction and relaxation, the monitoring equipment can calculate the heart rate value corresponding to the facial expression information according to the number of pulses in the relaxation state and the number of pulses in the contraction state.
The monitoring equipment judges whether the acquired heart rate value exceeds a preset heart rate threshold range, and executes the steps S204 and S205 when the heart rate value exceeds the preset heart rate threshold range; otherwise, no processing is performed, and the process may return to step S201.
S204: and triggering alarm operation when the heart rate value exceeds a preset heart rate threshold range.
When confirming that the currently acquired heart rate value exceeds the preset heart rate threshold range, the monitoring equipment triggers an alarm operation to prompt a monitor to perform key monitoring on a target object corresponding to the heart rate information meeting the preset requirement, so that an early warning function is achieved.
The preset heart rate threshold range is used to identify a normal heart rate value range. The preset heart rate threshold range can be 60-100 times per minute, but is not limited to this, and can be set according to the actual normal heart rate range value, and is not limited here.
S205: and when the heart rate value exceeds a preset heart rate threshold range, sending the heart rate value and the face image information corresponding to the heart rate value to target equipment.
When the monitoring equipment confirms that the currently acquired heart rate value exceeds the preset heart rate threshold range, the camera intercepts the facial clear image of the output person of the heart rate, and the facial clear image is sent to the target equipment corresponding to the monitoring person together with the heart rate change value of the monitoring equipment, so that the monitoring person can monitor the behavior of the output person of the heart rate in real time, the crime rate is reduced, and the behavior damaging public safety is killed in sprouts.
It is understood that step S204 and step S205 are not in sequence, and may be executed simultaneously.
According to the scheme, the monitoring equipment acquires face image information in a monitoring picture; acquiring facial expression information corresponding to the facial image information; acquiring a heart rate value corresponding to the face image information according to the facial expression information; and triggering alarm operation when the heart rate value exceeds a preset heart rate threshold range. Because the monitoring equipment can detect the abnormal conditions in real time and give an alarm in real time when the abnormal conditions are detected, the potential safety hazard is effectively reduced.
When heart rate value exceeded preset heart rate threshold value scope, sent this heart rate value and the facial image information that this heart rate value corresponds to target device to the monitoring person that target device corresponds can real-time supervision this heart rate's exporter's action, reduces crime rate's emergence, will endanger public safety's action and kill in sprouting.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an embodiment of a monitoring alarm apparatus according to the present invention. The monitoring and alarming device in the embodiment is monitoring equipment which is provided with a camera. The monitoring device may be a video monitor or a monitoring camera, etc., without limitation. For details, please refer to fig. 1 and the related description in the embodiment corresponding to fig. 1, which are not repeated herein. The apparatus 300 for monitoring an alarm of the present embodiment includes a first obtaining module 310, a second obtaining module 320, a third obtaining module 330, and an early warning module 340.
The first obtaining module 310 is configured to obtain face image information in a monitoring picture. For example, the first obtaining module 310 obtains the face image information in the monitoring picture.
The first obtaining module 310 sends the face image information to the second obtaining module 320.
The second obtaining module 320 is configured to receive the facial image information sent by the first obtaining module 310, and obtain facial expression information corresponding to the facial image information.
For example, the second obtaining module 320 receives the facial image information sent by the first obtaining module 310, and obtains facial expression information corresponding to the facial image information.
The second acquisition module 320 transmits the facial expression information to the third acquisition module 330.
The third obtaining module 330 is configured to receive the facial expression information sent by the second obtaining module 320, and obtain a heart rate value corresponding to the facial expression information according to the facial expression information.
For example, the third obtaining module 330 receives the facial expression information sent by the second obtaining module 320, and obtains a heart rate value corresponding to the facial expression information according to the facial expression information. The third acquisition module 330 sends the heart rate value to the early warning module 340.
The early warning module 340 is configured to receive the heart rate value sent by the third obtaining module 330, and trigger an alarm operation when the heart rate value exceeds a preset heart rate threshold range.
For example, the early warning module 340 receives the heart rate value sent by the third obtaining module 330, and triggers an alarm operation when the heart rate value exceeds a preset heart rate threshold range.
According to the scheme, the monitoring equipment acquires face image information in a monitoring picture; acquiring facial expression information corresponding to the facial image information; acquiring a heart rate value corresponding to the face image information according to the facial expression information; and triggering alarm operation when the heart rate value exceeds a preset heart rate threshold range. Because the monitoring equipment can detect the abnormal conditions in real time and give an alarm in real time when the abnormal conditions are detected, the potential safety hazard is effectively reduced.
Referring to fig. 4, fig. 4 is a schematic structural diagram of another embodiment of the monitoring alarm apparatus according to the present invention. The monitoring and alarming device in the embodiment is monitoring equipment which is provided with a camera. The monitoring device may be a video monitor or a monitoring camera, etc., without limitation. The modules included in the monitoring device are configured to execute the steps in the embodiment corresponding to fig. 2, and refer to fig. 2 and the related description in the embodiment corresponding to fig. 2 for details, which are not described herein again. The apparatus 400 for monitoring alarm of the present embodiment includes a first obtaining module 410, a second obtaining module 420, a third obtaining module 430, an early warning module 440, and a sending module 450. The third obtaining module 430 includes an obtaining unit 431 and a calculating unit 432.
The first obtaining module 410 is used for obtaining the face image information in the monitoring picture. For example, the first obtaining module 410 obtains the face image information in the monitoring picture.
The first acquisition module 410 sends the face image information to the second acquisition module 420.
The second obtaining module 420 is configured to receive the facial image information sent by the first obtaining module 410, and obtain facial expression information corresponding to the facial image information.
For example, the second obtaining module 420 receives the facial image information sent by the first obtaining module 410, and obtains facial expression information corresponding to the facial image information.
The second acquisition module 420 transmits the facial expression information to the third acquisition module 430.
The third obtaining module 430 is configured to receive the facial expression information sent by the second obtaining module 420, and obtain a heart rate value corresponding to the facial expression information according to the facial expression information.
For example, the third obtaining module 430 receives the facial expression information sent by the second obtaining module 420, and obtains a heart rate value corresponding to the facial expression information according to the facial expression information.
Further, when the third acquiring module 430 includes the acquiring unit 431 and the calculating unit 432, the acquiring unit 431 is configured to acquire light intensity information corresponding to the facial expression information; the calculating unit 432 is configured to obtain a heart rate value corresponding to the facial expression information according to the light intensity information corresponding to the facial expression information.
Further, the calculating unit 432 is specifically configured to obtain the light transmittance of the pulse in the facial expression information according to the light intensity information corresponding to the facial expression information; and acquiring a heart rate value corresponding to the facial expression information according to the light transmittance of the pulse in the facial expression information.
Further, the calculating unit 432 is specifically configured to determine the state information of the pulse according to the transmittance of the pulse in the facial expression information; wherein the state information comprises a diastolic state or a systolic state; and calculating a heart rate value corresponding to the facial expression information according to the state information of the pulse.
The third obtaining module 430 sends the heart rate value to the early warning module 440 and the sending module 450.
The early warning module 440 is configured to receive the heart rate value sent by the third obtaining module 430, and trigger an alarm operation when the heart rate value exceeds a preset heart rate threshold range.
For example, the early warning module 440 receives the heart rate value sent by the third obtaining module 430, and triggers an alarm operation when the heart rate value exceeds a preset heart rate threshold range.
The sending module 450 is configured to receive the heart rate value sent by the third obtaining module 430, and send the heart rate value and the face image information corresponding to the heart rate value to the target device when the heart rate value exceeds a preset heart rate threshold range.
For example, the sending module 450 receives the heart rate value sent by the third obtaining module 430, and sends the heart rate value and the face image information corresponding to the heart rate value to the target device when the heart rate value exceeds a preset heart rate threshold range.
According to the scheme, the monitoring equipment acquires face image information in a monitoring picture; acquiring facial expression information corresponding to the facial image information; acquiring a heart rate value corresponding to the face image information according to the facial expression information; and triggering alarm operation when the heart rate value exceeds a preset heart rate threshold range. Because the monitoring equipment can detect the abnormal conditions in real time and give an alarm in real time when the abnormal conditions are detected, the potential safety hazard is effectively reduced.
When heart rate value exceeded preset heart rate threshold value scope, sent this heart rate value and the facial image information that this heart rate value corresponds to target device to the monitoring person that target device corresponds can real-time supervision this heart rate's exporter's action, reduces crime rate's emergence, will endanger public safety's action and kill in sprouting.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (4)
1. A method of monitoring alarms for real-time detection of abnormal conditions in public places, the method comprising:
acquiring face image information in a monitoring picture;
acquiring facial expression information corresponding to the facial image information;
obtaining a heart rate value corresponding to the facial expression information according to the facial expression information, specifically: the method comprises the steps that monitoring equipment obtains feature information of facial expression information corresponding to facial image information, and obtains a heart rate value corresponding to the facial expression information corresponding to the facial image information according to a preset corresponding relation between the feature information of the facial expression information and the heart rate value, wherein the feature information of the facial expression information is emotion classification information corresponding to facial expressions;
when the heart rate value exceeds a preset heart rate threshold range, triggering alarm operation to prompt a monitor to perform key monitoring on a target object corresponding to heart rate information meeting preset requirements, and sending the heart rate value and face image information corresponding to the heart rate value to target equipment.
2. The method according to claim 1, wherein in the step of acquiring the face image information in the monitoring picture:
when one face is in the monitoring picture, acquiring face image information corresponding to the face;
and when at least two faces exist in the monitoring picture, acquiring face image information corresponding to the at least two faces respectively.
3. The method of claim 1, wherein: the preset heart rate threshold range is a normal heart rate value range.
4. An apparatus for monitoring alarms, said apparatus for detecting in real time abnormal conditions in public places, said apparatus comprising:
the first acquisition module is used for acquiring face image information in a monitoring picture;
the second acquisition module is used for acquiring facial expression information corresponding to the facial image information;
a third obtaining module, configured to obtain, according to the facial expression information, a heart rate value corresponding to the facial expression information, specifically: the method comprises the steps that monitoring equipment obtains feature information of facial expression information corresponding to facial image information, and obtains a heart rate value corresponding to the facial expression information corresponding to the facial image information according to a preset corresponding relation between the feature information of the facial expression information and the heart rate value, wherein the feature information of the facial expression information is emotion classification information corresponding to facial expressions;
the early warning module is used for triggering an alarm operation when the heart rate value exceeds a preset heart rate threshold range so as to prompt a monitor to perform key monitoring on a target object corresponding to heart rate information meeting preset requirements;
a sending module: and the method is used for sending the heart rate value and the face image information corresponding to the heart rate value to target equipment.
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| CN110796829A (en) * | 2018-08-02 | 2020-02-14 | 深圳云天励飞技术有限公司 | Safety protection method, equipment and computer readable storage medium |
| CN114581358A (en) * | 2020-11-30 | 2022-06-03 | 华为技术有限公司 | Heart rate detection method and electronic equipment |
| CN112839138B (en) * | 2021-02-26 | 2022-09-16 | 浙江南盾科技发展有限公司 | Automatic alarm security system for bank robbery |
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