CN107392116A - A kind of indicator lamp recognition methods and system - Google Patents
A kind of indicator lamp recognition methods and system Download PDFInfo
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- CN107392116A CN107392116A CN201710524356.9A CN201710524356A CN107392116A CN 107392116 A CN107392116 A CN 107392116A CN 201710524356 A CN201710524356 A CN 201710524356A CN 107392116 A CN107392116 A CN 107392116A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
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Abstract
The invention discloses a kind of indicator lamp recognition methods, the original image of collection instruction lamp apparatus first, then the image of area-of-interest is intercepted out from the original image, then colouring information is obtained from the image of the area-of-interest, identify the indicator lamp display information of the instruction lamp apparatus, the work state information of equipment is obtained, the work state information is finally sent to Surveillance center；The invention also discloses a kind of indicator lamp identifying system, including image acquisition units, area-of-interest image acquisition unit, image analyzing unit and communication unit.In the case that the present invention transforms inside not carried out to non intelligent instruction lamp apparatus, realize and the Intelligent Recognition and intelligent data of non intelligent indicator lamp equipment working state are collected.
Description
Technical field
The present invention relates to instrument field, more particularly to a kind of indicator lamp recognition methods and system.
Background technology
Current many residential quarters, industrial area, office block etc. are sent out using not possessing telework status data automatically
/ so-called non intelligent the instrument of read functions is sent, such as, the indicator lamp table of the working condition of equipment typically by being shown in equipment
Show, for example, green light represents working properly, amber light represents slight alarm, and red light represents high severity alarm, in order to periodically obtain this species
Operating state data in type instrument by certain cycle, it is necessary to manually be read, and therefore, workload is big, collection not in real time,
Working condition leakage collection etc..In order to be incorporated within the automatic system framework of centralized management, it is necessary to this kind of instrument
Carry out " non-intrusion type " to expand, i.e., expanded by outside, them also can be uploaded instrument by default cycle or requirement and show shape
State is to center service system.
The content of the invention
The purpose of the embodiment of the present invention is to provide a kind of indicator lamp recognition methods and system, can be effectively to non intelligent instrument
Function expanded, realize the remote collection of the operating state data to non intelligent instrument.
To achieve the above object, the embodiments of the invention provide a kind of indicator lamp recognition methods, including step：
S1, collection instruction lamp apparatus original image；
S2, ROI processing is carried out to the original image, to intercept the image of area-of-interest；
S3, the image to the area-of-interest carry out colour recognition, are shown with obtaining the indicator lamp of the instruction lamp apparatus
Show information, obtain the work state information of equipment；
S4, the work state information is sent to Surveillance center.
Compared with prior art, a kind of indicator lamp recognition methods disclosed in the one of embodiment of the present invention, is gathered first
The original image of lamp apparatus is indicated, the image of area-of-interest is then intercepted out from the original image, then from the sense
Colouring information is obtained in the image in interest region, the indicator lamp display information of the instruction lamp apparatus is identified, obtains equipment
Work state information, the work state information is finally sent to Surveillance center, non intelligent instruction lamp apparatus not carried out
In the case of the transformation of inside, realize and the Intelligent Recognition and intelligent data of non intelligent indicator lamp equipment working state are collected.
As the improvement of such scheme, the original image is RGB image.
As the improvement of such scheme, the step S3 includes step：
S31, the image of the area-of-interest is converted into HSV images from RGB image, obtains the HSV of area-of-interest
Image.
Compared with prior art, a kind of indicator lamp recognition methods disclosed in the one of embodiment of the present invention, by the sense
The image in interest region is converted into HSV images from RGB image, in the identification of conventional red greenish-yellow three color of indicator lamp, due to red green
Huang has clear and definite HSV color schemes, can easily carry out colour recognition, improve efficiency and the degree of accuracy of colour recognition.
As the improvement of such scheme, the step S3 also includes step：
S32, the HSV images to the area-of-interest carry out fine processing, retain the HSV images of the area-of-interest
In indicator lamp image.
Compared with prior art, a kind of indicator lamp recognition methods disclosed in the one of embodiment of the present invention, to the sense
The HSV images in interest region carry out fine processing, and the image of background parts is removed, and retain indicator lamp image, prevent in color
Identification mistake is produced in identification process due to position deviation, the risk of recognition result error is reduced, improves colour recognition
The degree of accuracy.
As the improvement of such scheme, the step S3 also includes step：
S33, fine processing is carried out to the indicator lamp image, the profile of the indicator lamp image is become clear, obtain clear
The indicator lamp image of clearization.
Compared with prior art, a kind of indicator lamp recognition methods disclosed in the one of embodiment of the present invention, again to institute
State indicator lamp image and carry out fine processing, make clear-cutization of the indicator lamp image, filtered out the indicator lamp image side
The image information in the impure region of color of edge, the purity of color is improved, so as to improve the efficiency of colour recognition and the degree of accuracy.
As the improvement of such scheme, the fine processing includes region cutting and contours extract.
As the improvement of such scheme, the step S3 also includes：
S34, colour recognition is carried out to the clearly indicator lamp image, the indicator lamp for obtaining the instruction lamp apparatus is shown
Information, so as to obtain the working condition of the instruction lamp apparatus.
As the improvement of such scheme, the fine processing carried out to the indicator lamp image uses iterative algorithm.
As the improvement of such scheme, the colour recognition is carried out using hsv color model, obtains indicator lamp display letter
Breath.
In order to solve the above-mentioned technical problem, the embodiment of the present invention additionally provides a kind of indicator lamp identifying system, including：
Image acquisition units, for gathering the original image of instruction lamp apparatus；
Area-of-interest image acquisition unit, for carrying out ROI processing to the original image, to obtain area-of-interest
Image；
Image analyzing unit, for carrying out colour recognition to the image of the area-of-interest, to obtain indicator lamp TV
Information；
Communication unit, for described information to be sent into Surveillance center.
Compared with prior art, a kind of indicator lamp identifying system, IMAQ disclosed in the one of embodiment of the present invention
The original image of unit collection instruction lamp apparatus, it is emerging that area-of-interest image acquisition unit intercepts out sense from the original image
The image in interesting region, image analyzing unit obtain colouring information from the image of the area-of-interest, identify the instruction
The indicator lamp display information of lamp apparatus, the work state information of equipment is obtained, by communication unit by the work state information
Surveillance center is sent to, in the case of being transformed inside not carried out to non intelligent instruction lamp apparatus, is realized to non intelligent instruction
The Intelligent Recognition and intelligent data of lamp apparatus working condition collect.
Brief description of the drawings
Fig. 1 is a kind of main flow schematic diagram of indicator lamp recognition methods in the embodiment of the present invention；
Fig. 2 is the specific schematic flow sheets of a kind of indicator lamp recognition methods step S3 in the embodiment of the present invention；
Fig. 3 is a kind of primary structure schematic diagram of indicator lamp identifying system in the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
Referring to Fig. 1 and Fig. 2, Fig. 1 is a kind of main flow signal of indicator lamp recognition methods provided in an embodiment of the present invention
Figure, Fig. 2 is the specific schematic flow sheets of step S3, and the embodiment of the present invention includes step：
S1, collection instruction lamp apparatus original image；Collecting device automatic data collection indicates the original image of lamp apparatus, uses
Acquisition method can include the picture of camera shooting instruction lamp apparatus or video etc. of lamp apparatus is indicated by recording, herein
Do not repeat；Preferably, the colour model that the original image collected in the present embodiment uses is RGB, in other embodiments,
Color can also HSV or HSI, do not influence the beneficial effect that obtains of the present invention.
S2, ROI processing is carried out to the original image, preset the area-of-interest number of the corresponding pointer type equipment
According to, after the original image is collected, by ROI algorithms to the original image carry out area-of-interest extraction, obtain
To the image of the area-of-interest, while filter out the image information in other regions.
S3, the image to the area-of-interest carry out colour recognition, are shown with obtaining the indicator lamp of the instruction lamp apparatus
Show information, obtain the work state information of equipment, specifically, including step referring to Fig. 2, step S3：
S31, the image of the area-of-interest is converted into HSV images from RGB image, obtains the HSV of area-of-interest
Image.Specifically, R value, G value and B value of the image of the area-of-interest in RGB image are calculated, i.e., described interested
The red value of current location color, green value and blue valve in the image in region, by existing conversion formula corresponding conversion into
H values, S values and the V values of HSV images, i.e., tone, saturation degree and the lightness of current location, are obtained in described region of interest area image
The HSV images of area-of-interest.
S32, the analysis by the HSV images to the area-of-interest, will be described interested using region segmentation algorithm
Indicator lamp image is cut out in the HSV images in region, by iterative algorithm by the background in addition to the indicator lamp image
Image filters off, and realizes the fine processing to the HSV images of the area-of-interest, obtains the indicator lamp image.In other realities
Apply in example, contours extract algorithm can also be used to extract the profile of the indicator lamp image, then by distinguishing exterior domain in profile
Difference, the profile exterior area image is filtered off, realizes the fine processing to the HSV images of the area-of-interest, not shadow
Ring the beneficial effect that the present invention obtains.
S33, contours extract is carried out to the indicator lamp image, using contours extract algorithm by the indicator lamp image border
The impure region of color distinguish to outside the profile of the indicator lamp image, pixel is handled one by one by iterative algorithm, will
Region outside the profile filters out, and realizes the fine processing to the indicator lamp image, obtains clearly indicator lamp image.
In other embodiment, it can also use region segmentation algorithm, by improving threshold value, identify the impure region of the color, then
The impure region of the color is filtered out, does not influence the beneficial effect that the present invention obtains.
S44, using hsv color model the clearly indicator lamp image is identified, wherein diverse location in extraction
The display situation of indicator lamp, the display situation of the indicator lamp is obtained, from the display situation of the indicator lamp, judge the finger
Show the working condition of lamp apparatus, obtain work state information.
In other embodiments, micronization processes directly can be carried out to the gray level image of the area-of-interest, obtains institute
Tuning drive gear skeleton is stated, does not influence the beneficial effect that the present invention obtains.
S4, the work state information being sent to Surveillance center, approach can be wirelessly transferred or wire transmission,
This is not repeated.
Surveillance center is implemented function such as by gathering data based on the work state information：(1) basic data
Acquisition function, this is most basic business function, gathers periodically or on demand basic data；(2) Data Analysis Services function, root
According to the needs of business, the analysis to basic data and statistical function are completed, and result is showed into manager by default requirement；
(3) ALM function, the monitoring to the indicator lamp of equipment, if finding, there are abnormal conditions in indicator lamp, alerts；This two class is accused
Alert information can be sent to by phone, short message mode specify be described as personnel.
The original image of a kind of indicator lamp recognition methods disclosed in the embodiment of the present invention, first collection instruction lamp apparatus, so
The image of area-of-interest is intercepted out from the original image afterwards, then obtains color from the image of the area-of-interest
Information, the indicator lamp display information of the instruction lamp apparatus is identified, the work state information of equipment is obtained, finally by the work
Surveillance center is sent to as status information, in the case of being transformed inside not carried out to non intelligent instruction lamp apparatus, is realized pair
The Intelligent Recognition and intelligent data of non intelligent indicator lamp equipment working state collect.
Referring to Fig. 3, the embodiment of the present invention additionally provides a kind of indicator lamp identifying system, and the indicator lamp identifies identifying system
10 include image acquisition units 1, area-of-interest image acquisition unit 2, image analyzing unit 3, communication unit 4.
Image acquisition units 1 are used to gather indicator lamp equipment drawing picture, carry out IMAQ to indicator lamp equipment drawing picture, obtain
The original image information of the instruction lamp apparatus, and the original image information is sent to area-of-interest image acquisition unit
2.Preferably, the colour model that the original image collected in the present embodiment uses is RGB, in other embodiments, color
The beneficial effect that the present invention obtains can not be influenceed with HSV or HSI.
Area-of-interest image acquisition unit 2 receives the original image information of the transmission of image acquisition units 1, to institute
State original image information to be analyzed, using suitable default area-of-interest image zooming-out parameter, based on ROI algorithms to described
Original image information carries out area-of-interest image zooming-out, obtains region of interest area image, and by the region of interest area image
It is sent to image analyzing unit 3.
Image analyzing unit 3, for carrying out colour recognition to the image of the area-of-interest, shown with obtaining indicator lamp
Information, obtain the work state information of equipment.Image analyzing unit 3 is first by the image of the area-of-interest from RGB image
HSV images are converted into, obtain the HSV images of area-of-interest.Specifically, image analyzing unit 3 calculates the area-of-interest
R value, G value and B value of the image in RGB image, i.e., the red of current location color in the image of the area-of-interest
Value, green value and blue valve, H values, S values and V values by existing conversion formula corresponding conversion into HSV images, i.e., described sense
The tone of current location, saturation degree and lightness in interest area image, obtain the HSV images of area-of-interest.
Then, calculated by the analysis of the HSV images to the area-of-interest, image analyzing unit 3 using region cutting
Method cuts out indicator lamp image in the HSV images of the area-of-interest, will be except the indicator lamp by iterative algorithm
Background image outside image filters off, and realizes the fine processing to the HSV images of the area-of-interest, obtains the indicator lamp
Image.In other embodiments, contours extract algorithm can also be used to extract the profile of the indicator lamp image, then passes through differentiation
Exterior domain is different in profile, and the profile exterior area image is filtered off, realizes the essence to the HSV images of the area-of-interest
Thin processing, the beneficial effect that the present invention obtains is not influenceed.
Then, image analyzing unit 3 carries out contours extract to the indicator lamp image, using contours extract algorithm by described in
The impure region of the color of indicator lamp image border is distinguished to outside the profile of the indicator lamp image, by iterative algorithm by picture
Element is handled one by one, and the region outside the profile is filtered out, the fine processing to the indicator lamp image is realized, obtains clearly
Indicator lamp image.In other embodiments, region segmentation algorithm can also be used, by improving threshold value, identifies the color
Impure region, then the impure region of the color is filtered out, the beneficial effect that the present invention obtains is not influenceed.
Finally, the clearly indicator lamp image is identified using hsv color model for image analyzing unit 3, is extracted
In wherein diverse location indicator lamp display situation, the display situation of the indicator lamp is obtained, from the display feelings of the indicator lamp
Condition, judge the working condition of the instruction lamp apparatus, obtain work state information, and the work state information is sent to
Communication unit 4.
Communication unit 4 is used to the work state information being sent to Surveillance center, approach can be wirelessly transferred or
Wire transmission, therefore not to repeat here.
A kind of indicator lamp identifying system disclosed in the embodiment of the present invention, image acquisition units collection indicate the original of lamp apparatus
Image, area-of-interest image acquisition unit intercept out the image of area-of-interest, graphical analysis list from the original image
Member obtains colouring information from the image of the area-of-interest, identifies the indicator lamp display information of the instruction lamp apparatus,
The work state information of equipment is obtained, the work state information is sent to by Surveillance center by communication unit, not to non-
In the case that intelligent indicator lamp equipment carries out internal transformation, the Intelligent Recognition to non intelligent indicator lamp equipment working state is realized
Collect with intelligent data.
Described above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications are also considered as
Protection scope of the present invention.
Claims (10)
1. a kind of indicator lamp recognition methods, it is characterised in that including step：
S1, collection instruction lamp apparatus original image；
S2, ROI processing is carried out to the original image, to intercept the image of area-of-interest；
S3, the image to the area-of-interest carry out colour recognition, and letter is shown to obtain the indicator lamp of the instruction lamp apparatus
Breath, obtain the work state information of the instruction lamp apparatus；
S4, the work state information is sent to Surveillance center.
2. a kind of indicator lamp recognition methods as claimed in claim 1, it is characterised in that the original image is RGB image.
3. a kind of indicator lamp recognition methods as claimed in claim 2, it is characterised in that the step S3 includes step：
S31, the image of the area-of-interest is converted into HSV images from RGB image, obtains the HSV images of area-of-interest.
4. a kind of indicator lamp recognition methods as claimed in claim 3, it is characterised in that the step S3 also includes step：
S32, fine processing is carried out to the HSV images of the area-of-interest, in the HSV images for retaining the area-of-interest
Indicator lamp image.
5. a kind of indicator lamp recognition methods as claimed in claim 4, it is characterised in that the step S3 also includes step：
S33, fine processing is carried out to the indicator lamp image, the profile of the indicator lamp image is become clear, obtain sharpening
Indicator lamp image.
6. a kind of indicator lamp recognition methods as claimed in claim 5, it is characterised in that the fine processing includes region cutting
And contours extract.
7. a kind of indicator lamp recognition methods as claimed in claim 6, it is characterised in that the step S3 also includes：
S34, colour recognition is carried out to the clearly indicator lamp image, obtain the indicator lamp display letter of the instruction lamp apparatus
Breath, so as to obtain the working condition of the instruction lamp apparatus.
A kind of 8. indicator lamp recognition methods as claimed in claim 5, it is characterised in that the institute carried out to the indicator lamp image
State fine processing and use iterative algorithm.
9. a kind of indicator lamp recognition methods as claimed in claim 7, it is characterised in that using described in the progress of hsv color model
Colour recognition, obtain indicator lamp display information.
A kind of 10. indicator lamp identifying system, it is characterised in that including：
Image acquisition units, for gathering the original image of instruction lamp apparatus；
Area-of-interest image acquisition unit, for carrying out ROI processing to the original image, to obtain the figure of area-of-interest
Picture；
Image analyzing unit, for carrying out colour recognition to the image of the area-of-interest, to obtain indicator lamp display information,
Obtain the work state information of equipment.
Communication unit, for the work state information to be sent into Surveillance center.
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109711414A (en) * | 2018-12-19 | 2019-05-03 | 国网四川省电力公司信息通信公司 | Equipment indicating lamp color identification method and system based on camera image acquisition |
| CN110062202A (en) * | 2019-03-12 | 2019-07-26 | 国网浙江省电力有限公司杭州供电公司 | A kind of power system information acquisition radio alarm method based on image recognition |
| CN110108338A (en) * | 2019-05-30 | 2019-08-09 | 海盐星创电子有限公司 | A kind of gas meter, flow meter detection device image capturing system and its application method |
| CN110163291A (en) * | 2019-05-28 | 2019-08-23 | 北京史河科技有限公司 | A kind of indicator light recognition methods and device |
| CN111126150A (en) * | 2019-11-25 | 2020-05-08 | 中国人民解放军国防科技大学 | Real-time identification method for on and off states of indicator lamp |
| CN111639647A (en) * | 2020-05-22 | 2020-09-08 | 深圳市赛为智能股份有限公司 | Indicating lamp state identification method and device, computer equipment and storage medium |
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| CN111864896A (en) * | 2019-04-29 | 2020-10-30 | 清华大学 | Power load monitoring method and system |
| CN112364780A (en) * | 2020-11-11 | 2021-02-12 | 许继集团有限公司 | Method for identifying state of indicator lamp |
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| CN114821194A (en) * | 2022-05-30 | 2022-07-29 | 深圳市科荣软件股份有限公司 | Equipment running state identification method and device |
| CN114820676A (en) * | 2022-05-30 | 2022-07-29 | 深圳市科荣软件股份有限公司 | Equipment running state identification method and device |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102519475A (en) * | 2011-12-12 | 2012-06-27 | 杨志远 | Intelligent navigation method and equipment based on augmented reality technology |
| CN102542260A (en) * | 2011-12-30 | 2012-07-04 | 中南大学 | Method for recognizing road traffic sign for unmanned vehicle |
| CN102663358A (en) * | 2012-03-29 | 2012-09-12 | 山西省电力公司晋中供电分公司 | Video image identification method of operating state of secondary protection equipment of substation |
| CN103489324A (en) * | 2013-09-22 | 2014-01-01 | 北京联合大学 | Real-time dynamic traffic light detection identification method based on unmanned driving |
| CN103971128A (en) * | 2014-05-23 | 2014-08-06 | 北京理工大学 | Traffic sign recognition method for driverless car |
| CN104021378A (en) * | 2014-06-07 | 2014-09-03 | 北京联合大学 | Real-time traffic light recognition method based on space-time correlation and priori knowledge |
| CN104598912A (en) * | 2015-01-23 | 2015-05-06 | 湖南科技大学 | Traffic light detection and recognition method based CPU and GPU cooperative computing |
| CN106845453A (en) * | 2017-02-24 | 2017-06-13 | 太原理工大学 | Taillight detection and recognition methods based on image |
-
2017
- 2017-06-30 CN CN201710524356.9A patent/CN107392116A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102519475A (en) * | 2011-12-12 | 2012-06-27 | 杨志远 | Intelligent navigation method and equipment based on augmented reality technology |
| CN102542260A (en) * | 2011-12-30 | 2012-07-04 | 中南大学 | Method for recognizing road traffic sign for unmanned vehicle |
| CN102663358A (en) * | 2012-03-29 | 2012-09-12 | 山西省电力公司晋中供电分公司 | Video image identification method of operating state of secondary protection equipment of substation |
| CN103489324A (en) * | 2013-09-22 | 2014-01-01 | 北京联合大学 | Real-time dynamic traffic light detection identification method based on unmanned driving |
| CN103971128A (en) * | 2014-05-23 | 2014-08-06 | 北京理工大学 | Traffic sign recognition method for driverless car |
| CN104021378A (en) * | 2014-06-07 | 2014-09-03 | 北京联合大学 | Real-time traffic light recognition method based on space-time correlation and priori knowledge |
| CN104598912A (en) * | 2015-01-23 | 2015-05-06 | 湖南科技大学 | Traffic light detection and recognition method based CPU and GPU cooperative computing |
| CN106845453A (en) * | 2017-02-24 | 2017-06-13 | 太原理工大学 | Taillight detection and recognition methods based on image |
Non-Patent Citations (2)
| Title |
|---|
| 张鼎: "摩巧车仪表图像自动检测方法研究", 《中国优秀硕士学位论文全文数据库 (信息科技辑)》 * |
| 董艳敏: "缩微智能车交通信号灯认知能力方法研究", 《中国优秀硕士学位论文全文数据库 (信息科技辑)》 * |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109711414A (en) * | 2018-12-19 | 2019-05-03 | 国网四川省电力公司信息通信公司 | Equipment indicating lamp color identification method and system based on camera image acquisition |
| CN110062202A (en) * | 2019-03-12 | 2019-07-26 | 国网浙江省电力有限公司杭州供电公司 | A kind of power system information acquisition radio alarm method based on image recognition |
| CN111864896B (en) * | 2019-04-29 | 2022-04-15 | 清华大学 | Power load monitoring method and system |
| CN111864896A (en) * | 2019-04-29 | 2020-10-30 | 清华大学 | Power load monitoring method and system |
| CN110163291A (en) * | 2019-05-28 | 2019-08-23 | 北京史河科技有限公司 | A kind of indicator light recognition methods and device |
| CN110108338A (en) * | 2019-05-30 | 2019-08-09 | 海盐星创电子有限公司 | A kind of gas meter, flow meter detection device image capturing system and its application method |
| CN111126150A (en) * | 2019-11-25 | 2020-05-08 | 中国人民解放军国防科技大学 | Real-time identification method for on and off states of indicator lamp |
| CN111126150B (en) * | 2019-11-25 | 2023-06-09 | 中国人民解放军国防科技大学 | Real-time identification method for on-off state of indicator lamp |
| CN111639647A (en) * | 2020-05-22 | 2020-09-08 | 深圳市赛为智能股份有限公司 | Indicating lamp state identification method and device, computer equipment and storage medium |
| CN111639647B (en) * | 2020-05-22 | 2023-07-25 | 深圳市赛为智能股份有限公司 | Indicator light state identification method and device, computer equipment and storage medium |
| CN111862172A (en) * | 2020-08-07 | 2020-10-30 | 成都交大光芒科技股份有限公司 | All-weather identification method and system for status indicator lamp of substation auxiliary monitoring system |
| CN112364780A (en) * | 2020-11-11 | 2021-02-12 | 许继集团有限公司 | Method for identifying state of indicator lamp |
| CN112418231A (en) * | 2020-11-16 | 2021-02-26 | 河南能创电子科技有限公司 | System algorithm for collecting operation and maintenance and AI model |
| CN112926483A (en) * | 2021-03-11 | 2021-06-08 | 中国工商银行股份有限公司 | Standard cabinet state indicator lamp identification monitoring method, device and system |
| CN114359844A (en) * | 2022-03-21 | 2022-04-15 | 广州银狐科技股份有限公司 | AED equipment state monitoring method and system based on color recognition |
| CN114821194A (en) * | 2022-05-30 | 2022-07-29 | 深圳市科荣软件股份有限公司 | Equipment running state identification method and device |
| CN114820676A (en) * | 2022-05-30 | 2022-07-29 | 深圳市科荣软件股份有限公司 | Equipment running state identification method and device |
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