CN109907739A - The alarm method and system caught a cold when a kind of sleep based on image recognition - Google Patents
The alarm method and system caught a cold when a kind of sleep based on image recognition Download PDFInfo
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- CN109907739A CN109907739A CN201910216437.1A CN201910216437A CN109907739A CN 109907739 A CN109907739 A CN 109907739A CN 201910216437 A CN201910216437 A CN 201910216437A CN 109907739 A CN109907739 A CN 109907739A
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- 230000007958 sleep Effects 0.000 title claims abstract description 48
- 238000000034 method Methods 0.000 title claims abstract description 25
- 210000003414 extremity Anatomy 0.000 claims description 15
- 210000003141 lower extremity Anatomy 0.000 claims description 12
- 210000001364 upper extremity Anatomy 0.000 claims description 12
- 230000036760 body temperature Effects 0.000 claims description 9
- 230000009467 reduction Effects 0.000 claims description 8
- 238000001914 filtration Methods 0.000 claims description 7
- 230000011218 segmentation Effects 0.000 claims description 7
- 230000000717 retained effect Effects 0.000 claims description 6
- 230000002708 enhancing effect Effects 0.000 claims description 3
- 238000013473 artificial intelligence Methods 0.000 abstract description 8
- 230000002265 prevention Effects 0.000 abstract description 6
- 230000003860 sleep quality Effects 0.000 abstract description 3
- 230000007613 environmental effect Effects 0.000 abstract description 2
- 230000000694 effects Effects 0.000 description 3
- 210000000746 body region Anatomy 0.000 description 2
- 238000003331 infrared imaging Methods 0.000 description 2
- 230000000712 assembly Effects 0.000 description 1
- 238000000429 assembly Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005059 dormancy Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000422 nocturnal effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
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Abstract
The present invention provides the alarm method caught a cold when a kind of sleep based on image recognition and systems, the present invention is by carrying out thermal infrared images acquisition to the human body in sleep, the image of acquisition is subjected to image procossing, identify the human region being exposed to except quilt, the setting for pedestrian's body state value of going forward side by side, in conjunction with current environmental temperature, setting flu critical point, when state value is more than flu critical point, alarming processing is carried out to human body, to realize the alarm caught a cold when the sleep based on image recognition.State and environment temperature when the present invention is according to sleep quality, whether the current flu of judgement is in easy hair-like state, it is preferably mankind's service for life in the prevention work that artificial intelligence application is caught a cold when for sleep to which the probability for solving the problems, such as that people catches a cold in sleep is high.
Description
Technical field
The present invention relates to field of artificial intelligence, alarm that when especially a kind of sleep based on image recognition catches a cold
Method and system.
Background technique
Currently, many three years old or more children are separately slept with parent, bed, according to statistics, Hen Duohai oneself are slept
Son is to cover quilt not in time during sleep at night and catch a cold.In fact, either children are still adult, in the case where sleeping all
Without the ability of oneself lid quilt, and due to the reduction of nocturnal temperature, in this case, the probability that when sleep catches a cold is significantly
Increase.
Cash, artificial intelligence technology have slowly goed deep into the basic living of the mankind, but the utilization of artificial intelligence also in
How artificial intelligence application is those skilled in the art's urgency in the prevention work caught a cold when for sleep by the primary stage
Major issue to be solved.
Summary of the invention
The object of the present invention is to provide the alarm method caught a cold when a kind of sleep based on image recognition and systems, it is intended to
The probability for solving the problems, such as that people catches a cold in sleep in the prior art is high, and artificial intelligence application is caught a cold when for sleep
Prevention work in, preferably be mankind's service for life.
To reach above-mentioned technical purpose, the present invention provides the alarm sides to catch a cold when a kind of sleep based on image recognition
Method the described method comprises the following steps:
The thermal infrared images of human body when S1, acquisition sleep；
S2, image procossing is carried out to thermal infrared images, identification is exposed to the human region except quilt；
S3, the setting that body state value is carried out according to the human region being exposed to except quilt；
S4, acquisition environment temperature, according to environment temperature and the setting flu critical point of body state value；
S5, when body state value be higher than flu critical point body state value when, carry out alarm operation.
Preferably, described image processing includes following operation:
Image enhancement is carried out to thermal infrared images, the threshold value selection of Wavelet Denoising Method is generated, carries out global image noise reduction, effectively
Retain zone boundary, realize image enhancement, then the feature higher than environment temperature according to human body temperature, thermal infrared images is carried out
High-pass filtering, it is preliminary to carry out human body boundary segmentation, determine limbs regional location.
Preferably, the limbs region includes head, upper limb, trunk, lower limb.
Preferably, the setting of the body state value specifically:
Only when head is exposed, state value 1, only when upper limb is exposed, state value 2, only when lower limb are exposed, state
Value is 3, only when trunk is exposed, state value 4；When different parts are exposed simultaneously, state value superposition.
The present invention also provides the warning system caught a cold when a kind of sleep based on image recognition, the system comprises:
Thermal infrared images acquisition module, the thermal infrared images of human body when for acquiring sleep；
Human region identification module, for carrying out image procossing to thermal infrared images, identification is exposed to the people except quilt
Body region；
Body state value setup module, for carrying out setting for body state value according to the human region being exposed to except quilt
It sets；
Critical point setup module of catching a cold is felt for acquiring environment temperature according to environment temperature and the setting of body state value
Emit critical point；
Alarm module carries out alarm operation when for being higher than the body state value of flu critical point when body state value.
Preferably, the human region identification module includes:
Image enhancing unit generates the threshold value selection of Wavelet Denoising Method, carries out for carrying out image enhancement to thermal infrared images
Global image noise reduction is effectively retained zone boundary, realizes image enhancement；
Filter unit carries out high-pass filtering to thermal infrared images for the feature higher than environment temperature according to human body temperature,
It is preliminary to carry out human body boundary segmentation, determine limbs regional location.
Preferably, the limbs region includes head, upper limb, trunk, lower limb.
Preferably, the setting of the body state value specifically:
Only when head is exposed, state value 1, only when upper limb is exposed, state value 2, only when lower limb are exposed, state
Value is 3, only when trunk is exposed, state value 4；When different parts are exposed simultaneously, state value superposition.
The effect provided in summary of the invention is only the effect of embodiment, rather than invents all whole effects, above-mentioned
A technical solution in technical solution have the following advantages that or the utility model has the advantages that
Compared with prior art, the present invention is by carrying out thermal infrared images acquisition to the human body in sleep, by the figure of acquisition
As carrying out image procossing, the human region being exposed to except quilt is identified, the setting for pedestrian's body state value of going forward side by side, in conjunction with current
Environment temperature, setting flu critical point carry out alarming processing to human body, to realize when state value is more than flu critical point
The alarm caught a cold when sleep based on image recognition.State and environment temperature when the present invention is according to sleep quality, judgement are worked as
Whether preceding flu is in easy hair-like state, so that the probability for solving the problems, such as that people catches a cold in sleep is high, artificial intelligence is answered
It is preferably mankind's service for life in the prevention work caught a cold when for for sleep.
Detailed description of the invention
Fig. 1 is the alarm method stream caught a cold when a kind of sleep based on image recognition provided in the embodiment of the present invention
Cheng Tu；
Fig. 2 is the warning system knot caught a cold when a kind of sleep based on image recognition provided in the embodiment of the present invention
Structure block diagram.
Specific embodiment
In order to clearly illustrate the technical characterstic of this programme, below by specific embodiment, and its attached drawing is combined, to this
Invention is described in detail.Following disclosure provides many different embodiments or example is used to realize different knots of the invention
Structure.In order to simplify disclosure of the invention, hereinafter the component of specific examples and setting are described.In addition, the present invention can be with
Repeat reference numerals and/or letter in different examples.This repetition is that for purposes of simplicity and clarity, itself is not indicated
Relationship between various embodiments and/or setting is discussed.It should be noted that illustrated component is not necessarily to scale in the accompanying drawings
It draws.Present invention omits the descriptions to known assemblies and treatment technology and process to avoid the present invention is unnecessarily limiting.
It is provided for the embodiments of the invention the announcement caught a cold when a kind of sleep based on image recognition with reference to the accompanying drawing
Alarm method is described in detail with system.
As shown in Figure 1, the embodiment of the invention discloses the alarm method caught a cold when a kind of sleep based on image recognition,
It the described method comprises the following steps:
The thermal infrared images of human body when S1, acquisition sleep；
S2, image procossing is carried out to thermal infrared images, identification is exposed to the human region except quilt；
S3, the setting that body state value is carried out according to the human region being exposed to except quilt；
S4, acquisition environment temperature, according to environment temperature and the setting flu critical point of body state value；
S5, when body state value be higher than flu critical point body state value when, carry out alarm operation.
Whether the embodiment of the present invention needs to adjust quilt at present according to depth in the sleep of people and current room temperature, judgement
Or quilt is covered, and whether the quilt covered at present influences breathing etc., to realize that effectively prevention people suffers from sleep
Flu.
By thermal infrared images acquisition device in sleep child's body carry out thermal infrared imaging.Human body temperature is usual
Higher than environment temperature, when not covered by quilt, human body head and exposed limbs are higher than environment temperature, are easy red by heat
Outer image collecting device identification, may recognize that the human region being exposed to except quilt accordingly.
After acquiring thermal infrared images, image enhancement is carried out to thermal infrared images, generates the threshold value selection of Wavelet Denoising Method, into
Row global image noise reduction is effectively retained zone boundary, realizes image enhancement, then the spy higher than environment temperature according to human body temperature
Sign carries out high-pass filtering to thermal infrared images, preliminary to carry out human body boundary segmentation, determines limbs regional location.For limb
The judgement of body, including head, upper limb, trunk, lower limb, and the state value that human body is exposed to except quilt is respectively set, such as only
When head is exposed, state value 1, only when upper limb is exposed, state value 2, only when lower limb are exposed, state value 3, only when
When trunk is exposed, state value 4；When different parts are exposed simultaneously, state value superposition.Determine that human body is exposed to quilt with this
Except region.
Using the temperature of temperature collecting device acquisition current environment, ambient temperature information is obtained.According to ambient temperature information
And be exposed to except quilt body state value setting flu critical point, critical point of catching a cold threshold value setting can rule of thumb into
Row setting.
For example, when room temperature is in 15 degrees Celsius, when state value is 3, for critical point of catching a cold；When room temperature is in 20 degrees Celsius
When, when state value is 6, for critical point of catching a cold；When state value is higher than the state value of flu critical point, the probability caught a cold can be risen
Height, therefore when being higher than flu critical point, it needs to alert the people in sleep, prompts to need lid quilt.
User can according to the actual situation, for example the weather conditions on the ground such as northeast or Guangzhou carry out Initialize installation.
The embodiment of the present invention carries out image by carrying out thermal infrared images acquisition to the human body in sleep, by the image of acquisition
Processing, identifies the human region being exposed to except quilt, the setting for pedestrian's body state value of going forward side by side, in conjunction with current environmental temperature,
Setting flu critical point is carried out alarming processing to human body, is known to realize based on image when state value is more than flu critical point
The alarm caught a cold when other sleep.Whether state and environment temperature when the present invention is according to sleep quality judge current flu
In easy hair-like state, to solve the problems, such as that people's probability for catching a cold in sleep is high, by artificial intelligence application in for sleeping
It is preferably mankind's service for life in the prevention work caught a cold when dormancy.
As shown in Fig. 2, the embodiment of the invention also discloses the alarm systems to catch a cold when a kind of sleep based on image recognition
System, the system comprises:
Thermal infrared images acquisition module, the thermal infrared images of human body when for acquiring sleep；
Human region identification module, for carrying out image procossing to thermal infrared images, identification is exposed to the people except quilt
Body region；
Body state value setup module, for carrying out setting for body state value according to the human region being exposed to except quilt
It sets；
Critical point setup module of catching a cold is felt for acquiring environment temperature according to environment temperature and the setting of body state value
Emit critical point；
Alarm module carries out alarm operation when for being higher than the body state value of flu critical point when body state value.
The human region identification module includes:
Image enhancing unit generates the threshold value selection of Wavelet Denoising Method, carries out for carrying out image enhancement to thermal infrared images
Global image noise reduction is effectively retained zone boundary, realizes image enhancement；
Filter unit carries out high-pass filtering to thermal infrared images for the feature higher than environment temperature according to human body temperature,
It is preliminary to carry out human body boundary segmentation, determine limbs regional location.
By thermal infrared images acquisition device in sleep child's body carry out thermal infrared imaging.Human body temperature is usual
Higher than environment temperature, when not covered by quilt, human body head and exposed limbs are higher than environment temperature, are easy red by heat
Outer image collecting device identification, may recognize that the human region being exposed to except quilt accordingly.
After acquiring thermal infrared images, image enhancement is carried out to thermal infrared images, generates the threshold value selection of Wavelet Denoising Method, into
Row global image noise reduction is effectively retained zone boundary, realizes image enhancement, then the spy higher than environment temperature according to human body temperature
Sign carries out high-pass filtering to thermal infrared images, preliminary to carry out human body boundary segmentation, determines limbs regional location.For limb
The judgement of body, including head, upper limb, trunk, lower limb, and the state value that human body is exposed to except quilt is respectively set, such as only
When head is exposed, state value 1, only when upper limb is exposed, state value 2, only when lower limb are exposed, state value 3, only when
When trunk is exposed, state value 4；When different parts are exposed simultaneously, state value superposition.Determine that human body is exposed to quilt with this
Except region.
Using the temperature of temperature collecting device acquisition current environment, ambient temperature information is obtained.According to ambient temperature information
And be exposed to except quilt body state value setting flu critical point, critical point of catching a cold threshold value setting can rule of thumb into
Row setting.
For example, when room temperature is in 15 degrees Celsius, when state value is 3, for critical point of catching a cold；When room temperature is in 20 degrees Celsius
When, when state value is 6, for critical point of catching a cold；When state value is higher than the state value of flu critical point, the probability caught a cold can be risen
Height, therefore when being higher than flu critical point, it needs to alert the people in sleep, prompts to need lid quilt.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (8)
1. the alarm method caught a cold when a kind of sleep based on image recognition, which is characterized in that the method includes following steps
It is rapid:
The thermal infrared images of human body when S1, acquisition sleep；
S2, image procossing is carried out to thermal infrared images, identification is exposed to the human region except quilt；
S3, the setting that body state value is carried out according to the human region being exposed to except quilt；
S4, acquisition environment temperature, according to environment temperature and the setting flu critical point of body state value；
S5, when body state value be higher than flu critical point body state value when, carry out alarm operation.
2. the alarm method caught a cold when a kind of sleep based on image recognition according to claim 1, which is characterized in that
Described image processing includes following operation:
Image enhancement is carried out to thermal infrared images, the threshold value selection of Wavelet Denoising Method is generated, carries out global image noise reduction, be effectively retained
Image enhancement is realized, then the feature higher than environment temperature according to human body temperature in zone boundary, carries out high pass to thermal infrared images
Filtering, it is preliminary to carry out human body boundary segmentation, determine limbs regional location.
3. the alarm method caught a cold when a kind of sleep based on image recognition according to claim 2, which is characterized in that
The limbs region includes head, upper limb, trunk, lower limb.
4. the alarm method caught a cold when a kind of sleep based on image recognition according to claim 3, which is characterized in that
The setting of the body state value specifically:
Only when head is exposed, state value 1, only when upper limb is exposed, state value 2, only when lower limb are exposed, state value is
3, only when trunk is exposed, state value 4；When different parts are exposed simultaneously, state value superposition.
5. the warning system caught a cold when a kind of sleep based on image recognition, which is characterized in that the system comprises:
Thermal infrared images acquisition module, the thermal infrared images of human body when for acquiring sleep；
Human region identification module, for carrying out image procossing to thermal infrared images, identification is exposed to the human body area except quilt
Domain；
Body state value setup module, for carrying out the setting of body state value according to the human region being exposed to except quilt；
Critical point setup module of catching a cold is faced for acquiring environment temperature according to environment temperature and body state value setting flu
Boundary's point；
Alarm module carries out alarm operation when for being higher than the body state value of flu critical point when body state value.
6. the warning system caught a cold when a kind of sleep based on image recognition according to claim 5, which is characterized in that
The human region identification module includes:
Image enhancing unit generates the threshold value selection of Wavelet Denoising Method, carries out global for carrying out image enhancement to thermal infrared images
Image noise reduction is effectively retained zone boundary, realizes image enhancement；
Filter unit carries out high-pass filtering to thermal infrared images, tentatively for the feature higher than environment temperature according to human body temperature
Human body boundary segmentation is carried out, determines limbs regional location.
7. the warning system caught a cold when a kind of sleep based on image recognition according to claim 6, which is characterized in that
The limbs region includes head, upper limb, trunk, lower limb.
8. the warning system caught a cold when a kind of sleep based on image recognition according to claim 7 any one,
It is characterized in that, the setting of the body state value specifically:
Only when head is exposed, state value 1, only when upper limb is exposed, state value 2, only when lower limb are exposed, state value is
3, only when trunk is exposed, state value 4；When different parts are exposed simultaneously, state value superposition.
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| CN201910216437.1A CN109907739B (en) | 2019-03-21 | 2019-03-21 | Image recognition-based method and system for alarming cold during sleep |
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| CN201910216437.1A CN109907739B (en) | 2019-03-21 | 2019-03-21 | Image recognition-based method and system for alarming cold during sleep |
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Cited By (2)
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| CN112802300A (en) * | 2020-12-23 | 2021-05-14 | 张慧东 | Dynamic triggering system based on wireless communication |
| CN113520306A (en) * | 2020-04-17 | 2021-10-22 | 青岛海尔空调器有限总公司 | Human sleep state monitoring method and intelligent household device |
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| CN109907739B (en) | 2021-07-30 |
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