CN105651397A - Method for accurately recognizing human body temperature - Google Patents
Method for accurately recognizing human body temperature Download PDFInfo
- Publication number
- CN105651397A CN105651397A CN201610057576.0A CN201610057576A CN105651397A CN 105651397 A CN105651397 A CN 105651397A CN 201610057576 A CN201610057576 A CN 201610057576A CN 105651397 A CN105651397 A CN 105651397A
- Authority
- CN
- China
- Prior art keywords
- temperature
- human body
- data
- infrared sensor
- body temperature
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 36
- 230000036760 body temperature Effects 0.000 title claims abstract description 17
- 238000001914 filtration Methods 0.000 claims abstract description 15
- 238000012937 correction Methods 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims abstract description 10
- 238000004378 air conditioning Methods 0.000 claims description 17
- 238000005259 measurement Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 5
- 230000006870 function Effects 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 230000005855 radiation Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000019771 cognition Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/10—Radiation pyrometry, e.g. infrared or optical thermometry using electric radiation detectors
Abstract
The invention relates to the infrared sensing technology and aims at solving the problem that when human body temperature is acquired by a low-resolution infrared camera in the prior art, the data is inaccurate. The invention provides a method for accurately recognizing human body temperature. The method comprises the following steps: I. carrying out error correction on an infrared sensor and rotating the infrared sensor for performing step-by-step scanning and data acquisition; II. correcting temperature data acquired by the infrared sensor according to the theoretical curve of the relation between temperature and distance; III. filtering the corrected temperature data by a median filtering method; and IV. comparing the temperature data after multiple filtering processing, so as to obtain temperature data of human body and the human number information. The method is applicable for an intelligent air conditioner.
Description
Technical field
The present invention relates to infrared electronic technology, particularly to a kind of method accurately being measured human body temperature by infrared sensor.
Background technology
The issue of Changhong CHiQ air-conditioning, has overturned tradition, and it is based on unique body state cognition technology, changed to software definition air-conditioning by hardware definition air-conditioning on the one hand, realize working in coordination with between interaction and the equipment of people and air-conditioning, while ensureing human comfort, energy-saving and cost-reducing; On the other hand from user's request angle, meet user's request by plurality of application scenes pattern rather than pure function. Therefore, the traditional air conditioner theory of " hardware+function " overturned by Changhong CHiQ air-conditioning, has started the development new direction of " software+application scenarios pattern ".
Changhong CHiQ air-conditioning is according to the man-machine distance of perception identification, crowd's quantity, position etc., for zones of different, automatically adjusts the parameters such as air-out mode, wind speed, wind direction, dynamically adjusts the comfort level of each subregion. More marvellous is, people can set VIP people's mode of priority for ad-hoc location within the scope of air-conditioning wind-force angle of radiation, when user is when preferential comfort zone, CHiQ can carry out temperature, humidity, wind speed and direction adjustment targetedly, and old friend's body state Intelligent Identify is the function of Changhong CHiQ air-conditioning core the most.
For reducing cost, Changhong CHiQ air-conditioning adopts the low resolution non-brake method mid-infrared sensor of 4*16 to replace the infrared camera of high score ratio high cost, and realizes human body information identification under certain algorithm, as shown in Figure 1. The infrared camera green owing to have employed low resolution, the impact of angle exposed to radiation when factor data gathers, gather to the actual temperature value of temperature data and object there is certain deviation, although the quantity of human body can be fallen, but because temperature cannot be measured accurately, thus cause position of human body to measure accurately and human body information leakage probability.
Summary of the invention
The invention aims to solve in prior art, when the infrared camera using low resolution carries out human body temperature collection, gather the inaccurate problem of data.
For reaching above-mentioned purpose, the present invention provides a kind of method of accurate identification human body temperature, comprises the steps:
Step one, infrared sensor is carried out error correction after use infrared sensor rotate carry out progressively scanner uni data acquisition;
The temperature data of infrared sensor collection is corrected by step 2, theoretical curve according to temperature Yu the relation of distance;
Temperature data after correction is filtered processing by step 3, employing median filter method;
Temperature data after step 4, many Filtering Processing carries out contrast process, obtains temperature data and the human body quantity information of human body.
Further, also include after step 4:
Step 5, calculate the distance obtaining between human body and air-conditioning according to the relation of temperature and distance.
Specifically, in step one, the low resolution non-brake method mid-infrared sensor adopting resolution to be 4*16 carries out progressively scanner uni data acquisition.
Specifically, described infrared sensor carries out progressively scanning and data acquisition by 1 �� of-1 �� of-1 �� of-13 �� of rotation.
Specifically, the concrete grammar carrying out medium filtering process is as follows:
Pixel in plate being ranked up according to the size of pixel value, what generate monotone increasing is one-dimensional data sequence, then exports one-dimensional medium filtering:
G (x)=med{f (x-k), (k �� W) }
Wherein, f (x), g (x) respectively original image and correction after image, W is one-dimensional template, and its value is 1*11 region.
Specifically, in step 2, temperature is as follows with the theoretical curve of distance:
T=(�� (��)-�� (-��)) * T1+ (1-�� (��)+�� (-��) * T0, wherein T1 represents blackbody temperature, T0 represents ambient temperature, T represents measurement temperature, �� (��)=L (-��, ��) (13.46*exp (-569*x2)), L represents Riemann integral.
The invention has the beneficial effects as follows: precise acquisition human body temperature provided by the invention flies method, data are acquired by the non-brake method mid-infrared sensor adopting low resolution, temperature data after gathering is corrected, and with the one-dimensional sleiding form of simple median filter method and 1*11, initial data has been processed, according to the data analysis before and after filtering, accurately extract human body letter characteristic information, and human body information is passed to air-conditioning Master Control Center, it is allowed quickly to make a response, realizing the intellectuality of air-conditioning, the intelligent operation that improve user is experienced.
Accompanying drawing explanation
The infrared camera that adopts that Fig. 1 is prior art carries out the flow chart of method of human bioequivalence;
Fig. 2 is the schematic flow sheet of the method accurately identifying human body temperature of the present invention.
Fig. 3 is the graph of a relation of the temperature theory curve with the relation of distance and measured curve figure.
Detailed description of the invention
Hereinafter technical scheme is described in further detail.
The present invention is directed in prior art, when the infrared camera using low resolution carries out human body temperature collection, gather the inaccurate problem of data, a kind of method that accurate identification human body temperature is provided, as in figure 2 it is shown, use infrared sensor to rotate after comprising the steps: step one, infrared sensor carrying out error correction carry out progressively scanner uni data acquisition; The temperature data of infrared sensor collection is corrected by step 2, theoretical curve according to temperature Yu the relation of distance; Temperature data after correction is filtered processing by step 3, employing median filter method; Temperature data after step 4, many Filtering Processing carries out contrast process, obtains temperature data and the human body quantity information of human body.
Apply aspects of the present inventions in air-conditioning, after the low resolution non-brake method mid-infrared sensor of 4*16 is connected with motor and is embedded in air-conditioning, to infrared sensor. Air-conditioning is opened after being operated, and controls motor rotation by motor driver, carries out progressively scanning and data acquisition with the infrared sensor after dynamic(al) correction by 1 �� of-1 �� of-1 �� of-13 �� of rotation.
Before underway value filtering, first have to the data to gathering and be corrected so that it is with the temperature close of object objective reality. In reality, there is certain relation between temperature and distance, when namely testing, the test temperature of same object can reduce along with the increase of distance, as shown in Figure 3. Wherein MLX90621 is actual testing temperature data, and examination is due to noise effect, and curve is unsmooth. Theoretical curve calculates according to bell-shaped pulse, formula is: T=(�� (��)-�� (-��)) * T1+ (1-�� (��)+�� (-��) * T0, wherein T1 represents blackbody temperature, T0 represents ambient temperature, T represents measurement temperature, �� (��)=L (-��, ��) (13.46*exp (-569*x2)), L represents Riemann integral. The difference of empirical curve and theoretical curve is in that, it does not have consider that emittance is with distance quadratic power inverse proportion decay. This theoretical curve is actually the impact reacting angle. According to Fig. 3, measured data is corrected during practical application.
Medium filtering is based on a kind of nonlinear signal processing technology that can effectively suppress noise that sequencing statistical is theoretical, the ultimate principle of medium filtering is that the Mesophyticum of each point value in a neighborhood of this point of the value of any in digital picture or Serial No. is replaced, allow the actual value that the pixel value of surrounding is close, thus eliminating isolated noise spot. Because the data in the present invention are relatively fewer in the vertical, it is contemplated that the DeGrain of process, therefore only it is filtered data transversely processing. Method is with the one-dimensional sleiding form of a kind of structure, pixel in plate is ranked up according to the size of pixel value, and what generate monotone increasing is one-dimensional data sequence, then exports one-dimensional medium filtering:
G (x)=med{f (x-k), (k �� W) }
Wherein, f (x), g (x) respectively original image and process after image. W is one-dimensional template, 1*11 region.
Respectively to when when having a people within sweep of the eye of air-conditioning, have two people time and adopt the result that the method for the present invention carries out human body information detection to be verified when having three people. After gathering data and processing, it is possible to the accurately errorless characteristic information providing human body, through Multiple-Scan, identify checking, identify (identifying less than people) and misrecognized (being people by object or other thermal source identification) without leakage.
Claims (6)
1. the method for an accurate identification human body temperature, it is characterised in that comprise the steps:
Step one, infrared sensor is carried out error correction after use infrared sensor rotate carry out progressively scanner uni data acquisition;
The temperature data of infrared sensor collection is corrected by step 2, theoretical curve according to temperature Yu the relation of distance;
Temperature data after correction is filtered processing by step 3, employing median filter method;
Temperature data after step 4, many Filtering Processing carries out contrast process, obtains temperature data and the human body quantity information of human body.
2. the method accurately identifying human body temperature as claimed in claim 1, it is characterised in that also include after step 4:
Step 5, calculate the distance obtaining between human body and air-conditioning according to the relation of temperature and distance.
3. the method accurately identifying human body temperature as claimed in claim 1 or 2, it is characterised in that in step one, the low resolution non-brake method mid-infrared sensor adopting resolution to be 4*16 carries out progressively scanner uni data acquisition.
4. the method accurately identifying human body temperature as claimed in claim 3, it is characterised in that described infrared sensor carries out progressively scanning and data acquisition by 1 �� of-1 �� of-1 �� of-13 �� of rotation.
5. the method accurately identifying human body temperature as claimed in claim 1, it is characterised in that in step 3, the concrete grammar carrying out medium filtering process is as follows:
Pixel in plate being ranked up according to the size of pixel value, what generate monotone increasing is one-dimensional data sequence, then exports one-dimensional medium filtering:
G (x)=med{f (x-k), (k �� W) }
Wherein, f (x), g (x) respectively original image and correction after image, W is one-dimensional template, and its value is 1*11 region.
6. the method accurately identifying human body temperature as claimed in claim 1, it is characterised in that in step 2, temperature is as follows with the theoretical curve of distance:
T=(�� (��)-�� (-��)) * T1+ (1-�� (��)+�� (-��) * T0, wherein T1 represents blackbody temperature, T0 represents ambient temperature, T represents measurement temperature, �� (��)=L (-��, ��) (13.46*exp (-569*x2)), L represents Riemann integral.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610057576.0A CN105651397A (en) | 2016-01-27 | 2016-01-27 | Method for accurately recognizing human body temperature |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610057576.0A CN105651397A (en) | 2016-01-27 | 2016-01-27 | Method for accurately recognizing human body temperature |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105651397A true CN105651397A (en) | 2016-06-08 |
Family
ID=56488106
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610057576.0A Pending CN105651397A (en) | 2016-01-27 | 2016-01-27 | Method for accurately recognizing human body temperature |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105651397A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106196429A (en) * | 2016-06-30 | 2016-12-07 | 广东美的制冷设备有限公司 | Air-conditioning control method and device |
| CN106524422A (en) * | 2016-11-29 | 2017-03-22 | 美的集团武汉制冷设备有限公司 | Air conditioner and temperature correcting method thereof |
| CN110246589A (en) * | 2019-05-07 | 2019-09-17 | 深圳市谷德科技有限公司 | A kind of body temperature bearing calibration and device based on human body individual difference |
| CN111678605A (en) * | 2020-06-17 | 2020-09-18 | 北京中云微迅信息技术有限公司 | Infrared temperature measurement compensation method based on thermopile electricity |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004226050A (en) * | 2003-01-27 | 2004-08-12 | Lg Electronics Inc | Air-conditioner |
| JP4135577B2 (en) * | 2003-06-27 | 2008-08-20 | ダイキン工業株式会社 | Temperature measuring device and air conditioner using the same |
| CN201149330Y (en) * | 2007-12-30 | 2008-11-12 | 海信（山东）空调有限公司 | Air conditioner with sport type infrared sensor |
| CN101749800A (en) * | 2008-12-03 | 2010-06-23 | Lg电子株式会社 | Air conditioner and method of controlling the same |
| CN102346073A (en) * | 2010-07-26 | 2012-02-08 | 三菱电机株式会社 | Infrared sensor and air conditioner |
| CN102519088A (en) * | 2008-09-10 | 2012-06-27 | 三菱电机株式会社 | An air conditioner |
| CN103439003A (en) * | 2013-09-03 | 2013-12-11 | 重庆大学 | Infrared temperature measurement accuracy improving method |
| CN103565422A (en) * | 2013-11-06 | 2014-02-12 | 江苏大学 | Medical infrared thermometer and measurement compensating method of medical infrared thermometer |
| CN103604504A (en) * | 2013-10-15 | 2014-02-26 | 中国人民解放军海军工程大学 | Infrared radiation precise temperature measuring method |
| CN104155008A (en) * | 2014-07-28 | 2014-11-19 | 上海电力学院 | Method for correcting measuring errors of infrared temperature monitoring system |
-
2016
- 2016-01-27 CN CN201610057576.0A patent/CN105651397A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004226050A (en) * | 2003-01-27 | 2004-08-12 | Lg Electronics Inc | Air-conditioner |
| JP4135577B2 (en) * | 2003-06-27 | 2008-08-20 | ダイキン工業株式会社 | Temperature measuring device and air conditioner using the same |
| CN201149330Y (en) * | 2007-12-30 | 2008-11-12 | 海信（山东）空调有限公司 | Air conditioner with sport type infrared sensor |
| CN102519088A (en) * | 2008-09-10 | 2012-06-27 | 三菱电机株式会社 | An air conditioner |
| CN101749800A (en) * | 2008-12-03 | 2010-06-23 | Lg电子株式会社 | Air conditioner and method of controlling the same |
| CN102346073A (en) * | 2010-07-26 | 2012-02-08 | 三菱电机株式会社 | Infrared sensor and air conditioner |
| CN103439003A (en) * | 2013-09-03 | 2013-12-11 | 重庆大学 | Infrared temperature measurement accuracy improving method |
| CN103604504A (en) * | 2013-10-15 | 2014-02-26 | 中国人民解放军海军工程大学 | Infrared radiation precise temperature measuring method |
| CN103565422A (en) * | 2013-11-06 | 2014-02-12 | 江苏大学 | Medical infrared thermometer and measurement compensating method of medical infrared thermometer |
| CN104155008A (en) * | 2014-07-28 | 2014-11-19 | 上海电力学院 | Method for correcting measuring errors of infrared temperature monitoring system |
Non-Patent Citations (2)
| Title |
|---|
| 朱虹: "《数字图像处理基础与应用》", 31 January 2013, 清华大学出版社 * |
| 杨帆: "《传感器技术》", 30 September 2008, 西安电子科技大学出版社 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106196429A (en) * | 2016-06-30 | 2016-12-07 | 广东美的制冷设备有限公司 | Air-conditioning control method and device |
| CN106196429B (en) * | 2016-06-30 | 2019-03-08 | 广东美的制冷设备有限公司 | Air-conditioning control method and device |
| CN106524422A (en) * | 2016-11-29 | 2017-03-22 | 美的集团武汉制冷设备有限公司 | Air conditioner and temperature correcting method thereof |
| CN110246589A (en) * | 2019-05-07 | 2019-09-17 | 深圳市谷德科技有限公司 | A kind of body temperature bearing calibration and device based on human body individual difference |
| CN111678605A (en) * | 2020-06-17 | 2020-09-18 | 北京中云微迅信息技术有限公司 | Infrared temperature measurement compensation method based on thermopile electricity |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105651397A (en) | Method for accurately recognizing human body temperature | |
| CN102521560B (en) | Instrument pointer image identification method of high-robustness rod | |
| WO2019015390A1 (en) | Body temperature measurement method, device and intelligent apparatus | |
| CN104224212A (en) | CT system, CT system scanning positioning method and CT system calibration method | |
| WO2021063062A1 (en) | Live-line testing system for power grid apparatus, thermal infrared imager, and method | |
| CN110411605B (en) | Infrared measurement human body temperature correction method | |
| CN109858479A (en) | The illegal whistle capturing system of motor vehicle based on image registration | |
| CN113470016B (en) | Photovoltaic cell panel abnormity detection method and device based on artificial intelligence | |
| CN107869954B (en) | Binocular vision volume weight measurement system and implementation method thereof | |
| CN110009610A (en) | A kind of reservoir dam slope protection surface damage visible detection method and bionic device | |
| CN104983436B (en) | A kind of x-ray imaging device and method | |
| CN104916162A (en) | Parking stall detection method and system | |
| CN109186772B (en) | Human body judgment method based on infrared detector and electric appliance | |
| CN106772656A (en) | A kind of indoor human body detection method based on infrared sensor array | |
| CN110968955B (en) | Space-time expansion method for evaporation ratio observation | |
| TWI383690B (en) | Method for image processing | |
| CN112184784B (en) | Dual-spectrum image alignment method and device, electronic equipment and storage medium | |
| CN203117109U (en) | Machine vision based system used for detecting defects on phosphor powder coating surface | |
| CN101980299B (en) | Chessboard calibration-based camera mapping method | |
| CN108171615B (en) | Crop lodging disaster monitoring method and system thereof | |
| CN109444150A (en) | Contactless crackle measurement method and its device | |
| CN114199127B (en) | Automobile part size detection system and method based on machine vision | |
| CN113012239B (en) | Quantitative calculation method for focal length change of vehicle-road cooperative roadside perception camera | |
| KR101039423B1 (en) | Method and camera device for camera gain control and shutter speed control by measuring skin brightness | |
| CN114241428A (en) | Polarization road camera control method, system, device and computer storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160608 |
|
| RJ01 | Rejection of invention patent application after publication |