CN108513104A - Intelligent dining table oily waste degradation platform - Google Patents
Intelligent dining table oily waste degradation platform Download PDFInfo
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- CN108513104A CN108513104A CN201810519318.9A CN201810519318A CN108513104A CN 108513104 A CN108513104 A CN 108513104A CN 201810519318 A CN201810519318 A CN 201810519318A CN 108513104 A CN108513104 A CN 108513104A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B31/00—Service or tea tables, trolleys, or wagons
- A47B31/001—Service or tea tables, trolleys, or wagons with devices for laying, clearing, cleaning, or the like, a table
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/10—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/71—Circuitry for evaluating the brightness variation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
- H04N23/88—Camera processing pipelines; Components thereof for processing colour signals for colour balance, e.g. white-balance circuits or colour temperature control
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B2200/00—General construction of tables or desks
- A47B2200/008—Tables or desks having means for applying electronic or electric devices
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Image Analysis (AREA)
Abstract
The present invention relates to a kind of intelligent dining table oily waste degradation platforms, including：Oil removing starting device is arranged on the desktop of dining table, for when receiving greasy dirt detection signal, starting the oil removal treatment to the desktop of dining table；Greasy dirt detection device, corresponding greasy dirt subgraph is searched out from real-time sharpening image for being based on greasy dirt characteristics of image, multiple greasy dirt pixels in greasy dirt subgraph are identified based on default greasy dirt upper limit threshold and default greasy dirt lower threshold, by multiple greasy dirt Pixel fits at greasy dirt region, determine that greasy dirt region occupies the area percentage of greasy dirt subgraph, when area percentage transfinites, greasy dirt detection signal is sent out；In greasy dirt detection device, when area percentage does not transfinite, sends out greasy dirt and do not detect signal and oil removing starting device when receiving greasy dirt and not detecting signal, stop the oil removal treatment to the desktop of dining table.By means of the invention it is possible to carry out dining table top oil removal treatment using electronic pattern.
Description
Technical field
The present invention relates to smart home field more particularly to a kind of intelligent dining table oily waste degradation platforms.
Background technology
Intelligent table is the innovative product of a kitchen and bath's field of household appliances, is mainly combined using electromagnetic heating and resistive heating
Technology, efficient resistance film heater built in heat preservation zone sends out infrared heat, forms heat radiation and conduction, convection type after energization
It is heated, within the temperature range of so that food is maintained agreeable to the taste and resistance to bacterium always, it is ensured that health is comfortable；Intelligentized waterproof touches
Control, multizone individually heat, and use was not only safe but also energy saving；The blacker-than-black glass panel of easy cleaning, exquisite solid wood appearance design, production
Product makings elegant makes functional requirement reach high unity with aesthetic requirement, breaches tradition of the people to household electrical appliance
Understanding.
Invention content
In order to solve the technical issues of dining table top excessively relies on manual cleaning, the present invention provides a kind of intelligent dining tables
Oily waste degradation platform can determine the need for starting automatic pollution removing processing based on the greasy dirt situation on dining table top, wherein root
According to the quantity statistics of image inward flange line as a result, judging whether to need to execute real-time Edge contrast to image, to improve image
The adaptive ability of Edge contrast；On the basis of the processing of white balance processing equipment and Morphological scale-space equipment, realization is treated
Handle image foreground image orientation, targetedly extract, for subsequent image identification and detection provide it is more valuable
Data to be analyzed；The overall brightness for acquiring image is matched with Benchmark brightness, be based on matched result determine whether into
Row blocks alarm, wherein is used for using buzzing playback equipment when receiving the brightness offset signal, plays predeterminated frequency
Buzzer.
According to an aspect of the present invention, a kind of intelligent dining table oily waste degradation platform is provided, the platform includes：
Oil removing starting device is arranged on the desktop of dining table, for when receiving greasy dirt detection signal, starting to dining table
Desktop oil removal treatment.
More specifically, in the intelligent dining table oily waste degradation platform, further include：
Video capture mechanism, including video acquisition unit, parameter extraction unit and data estimation unit, the video acquisition
For being shot to the desktop of dining table to export dining table top image, the parameter extraction unit is used for the video unit
Scene carries out brightness measurement where capture mechanism, to obtain and export corresponding real-time scene brightness, the data estimation unit
It is connect respectively with the video acquisition unit and the parameter extraction unit, the optics for obtaining the video acquisition unit is special
Property and receive the real-time scene brightness, and the optical characteristics based on the video acquisition unit and the real-time scene brightness
Calculate the background luminance of the video acquisition unit output image.
More specifically, in the intelligent dining table oily waste degradation platform, further include：
White balance processing equipment is connect with the video acquisition unit, for receiving the dining table top image, to described
Dining table top image executes white balance processing, to obtain and export corresponding white balance image；Morphological scale-space equipment, including it is swollen
The sub- equipment of swollen processing and the sub- equipment of corrosion treatment, the sub- equipment of expansion process connect with the white balance processing equipment, are used for
The white balance image is received, and expansion process is executed to the white balance image, to obtain corresponding expansion process image, institute
It states the sub- equipment of corrosion treatment to connect with the sub- equipment of the expansion process, for receiving the expansion process image, and to described swollen
Swollen processing image executes corrosion treatment, to obtain corresponding corrosion treatment image；Pixel Data-Statistics equipment, at the morphology
Equipment connection is managed, for receiving the corrosion treatment image, obtains each bright of each pixel of the corrosion treatment image
Angle value executes mean square deviation to each brightness value and calculates, exported using the numerical value of the mean square deviation of acquisition as with reference to data；Fragment
Extraction equipment is connect with the pixel Data-Statistics equipment, for receiving the corrosion treatment image and the reference data, is based on
The reference data carries out uniform formula segmentation to the corrosion treatment image, to obtain multiple segmentation fragments, wherein the reference
Data are bigger, and the quantity that the segmentation fragment that uniform formula segmentation obtains is carried out to the corrosion treatment image is more；Noise analysis is set
It is standby, it is connect with the fragment extraction equipment, for receiving the multiple segmentation fragment, for each segmentation fragment, detects institute
The amplitude ranking five kinds of noise types of first five in segmentation fragment are stated, are determined based on the corresponding amplitude of five kinds of noise types
The signal-to-noise ratio of the segmentation fragment, and determined based on the signal-to-noise ratio of the segmentation fragment and background segment is carried out to the segmentation fragment
Threshold size；Foreground extraction equipment is connect with the noise analysis equipment, for for each segmentation fragment, being based on true
Fixed threshold value executes background segment processing to obtain corresponding foreground fragment to the segmentation fragment, and by each segmentation fragment
Each foreground fragment is fitted, and to obtain foreground detection image, and exports the foreground detection image；Data statistics equipment,
It is connect with the foreground extraction equipment, for receiving the foreground detection image, to each side in the foreground detection image
Edge line is detected, and to obtain the edge line quantity in the foreground detection image, and is exported in the foreground detection image
Edge line quantity；Decision data equipment is connect with the data statistics equipment, for receiving the side in the foreground detection image
Edge line number amount, and when the edge line quantity in the foreground detection image is less than lines amount threshold, it is less to send out lines
Information sends out the more letter of lines when being additionally operable to the edge line quantity in the foreground detection image more than lines amount threshold
Breath；TF storage cards are connect with the decision data equipment, for prestoring the lines amount threshold；Edge contrast equipment,
It is connect respectively with the data statistics equipment and the decision data equipment, for when receiving the lines compared with multi information,
Start the real-time Edge contrast to the foreground detection image, to obtain corresponding real-time sharpening image, is additionally operable to receiving
When the less information of the lines, real-time Edge contrast is not carried out to the foreground detection image, directly by the foreground detection figure
As being exported as real-time sharpening image；Greasy dirt detection device is connect with the Edge contrast equipment, described sharp in real time for receiving
Change image, corresponding greasy dirt subgraph is searched out from the real-time sharpening image based on greasy dirt characteristics of image, based on default oil
Dirty upper limit threshold and default greasy dirt lower threshold identify multiple greasy dirt pixels in the greasy dirt subgraph, by multiple greasy dirt pictures
Element is fitted to greasy dirt region, determines that the greasy dirt region occupies the area percentage of the greasy dirt subgraph, when the area hundred
Divide than when transfiniting, sending out greasy dirt detection signal；Wherein, in the greasy dirt detection device, when the area percentage does not transfinite
When, it sends out greasy dirt and does not detect signal；Wherein, it in the oil removing starting device, is additionally operable to not detect signal receiving greasy dirt
When, stop the oil removal treatment to the desktop of dining table.
More specifically, in the intelligent dining table oily waste degradation platform, further include：
Measuring apparatus is blocked, is connect with the video capture mechanism, for receiving the dining table top image and the back of the body
Scape brightness obtains the pixel value of each pixel of the dining table top image, each picture based on the dining table top image
The pixel value of vegetarian refreshments determines the overall brightness of the dining table top image using as outdoor scene brightness, and by the background luminance and institute
It states outdoor scene brightness to be matched, when the outdoor scene brightness excessively deviates from the background luminance, sends out brightness offset signal, it is no
Then, brightness matching signal is sent out.
More specifically, in the intelligent dining table oily waste degradation platform, further include：
Data communications equipment is connect with the measuring apparatus of blocking, for when receiving the brightness offset signal, inciting somebody to action
It after the dining table top compression of images and is transferred at neighbouring monitoring server, is additionally operable to receiving the brightness matching letter
Number when, stop to the dining table top compression of images and transmission.
More specifically, in the intelligent dining table oily waste degradation platform, further include：Buzzing playback equipment, with the screening
Measuring apparatus connection is kept off, for when receiving the brightness offset signal, playing the buzzer of predeterminated frequency.
More specifically, in the intelligent dining table oily waste degradation platform：In the buzzing playback equipment, receiving
When the brightness matching signal, stop the broadcasting of the buzzer of predeterminated frequency.
Description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is the contour structures according to dining table where the intelligent dining table oily waste degradation platform shown in embodiment of the present invention
Figure.
Specific implementation mode
The embodiment of the intelligent dining table oily waste degradation platform of the present invention is described in detail below with reference to accompanying drawings.
The design concept of intelligent table pursues nature and ecosystem, and heating panel uses high-tech glass, surface to have glaze
Glass effects, it is rich in color various, it is will never fade；Decorative outer frame is roasting using piano using high-quality oak, import pine as main material
Lacquer craftwork, it is convenient for cleaning and wear-resistant, then it is aided with Chinese style or European engraving, entire product elegant, exquisite exquisiteness can be met
Close the individual needs of different consumers.
In order to overcome above-mentioned deficiency, the present invention to build a kind of intelligent dining table oily waste degradation platform, can effectively solve the problem that
Corresponding technical problem.
Fig. 1 is the contour structures according to dining table where the intelligent dining table oily waste degradation platform shown in embodiment of the present invention
Figure.Wherein, 1 is outer mesa, and 2 be table top inside, and 3 be connector.
The intelligent dining table oily waste degradation platform shown according to an embodiment of the present invention includes：
Oil removing starting device is arranged on the desktop of dining table, for when receiving greasy dirt detection signal, starting to dining table
Desktop oil removal treatment.
Then, continue that the concrete structure of the intelligent dining table oily waste degradation platform of the present invention is further detailed.
In the intelligent dining table oily waste degradation platform, further include：
Video capture mechanism, including video acquisition unit, parameter extraction unit and data estimation unit, the video acquisition
For being shot to the desktop of dining table to export dining table top image, the parameter extraction unit is used for the video unit
Scene carries out brightness measurement where capture mechanism, to obtain and export corresponding real-time scene brightness, the data estimation unit
It is connect respectively with the video acquisition unit and the parameter extraction unit, the optics for obtaining the video acquisition unit is special
Property and receive the real-time scene brightness, and the optical characteristics based on the video acquisition unit and the real-time scene brightness
Calculate the background luminance of the video acquisition unit output image.
In the intelligent dining table oily waste degradation platform, further include：
White balance processing equipment is connect with the video acquisition unit, for receiving the dining table top image, to described
Dining table top image executes white balance processing, to obtain and export corresponding white balance image；
Morphological scale-space equipment, including the sub- equipment of expansion process and the sub- equipment of corrosion treatment, the sub- equipment of expansion process
It connect with the white balance processing equipment, is executed at expansion for receiving the white balance image, and to the white balance image
Reason, to obtain corresponding expansion process image, the sub- equipment of corrosion treatment is connect with the sub- equipment of the expansion process, for connecing
The expansion process image is received, and corrosion treatment is executed to the expansion process image, to obtain corresponding corrosion treatment image；
Pixel Data-Statistics equipment is connect with the Morphological scale-space equipment, for receiving the corrosion treatment image, is obtained
Each brightness value of each pixel of the corrosion treatment image executes mean square deviation to each brightness value and calculates, will obtain
The numerical value of the mean square deviation obtained is used as to be exported with reference to data；
Fragment extraction equipment is connect with the pixel Data-Statistics equipment, for receiving the corrosion treatment image and described
Reference data carries out uniform formula segmentation based on the reference data to the corrosion treatment image, to obtain multiple segmentation fragments,
Wherein, the reference data is bigger, and the quantity that the segmentation fragment that uniform formula segmentation obtains is carried out to the corrosion treatment image is got over
It is more；
Noise analysis equipment is connect with the fragment extraction equipment, for receiving the multiple segmentation fragment, for each
A segmentation fragment detects the amplitude ranking five kinds of noise types of first five in the segmentation fragment, is based on five kinds of noise types
Corresponding amplitude determines the signal-to-noise ratio of the segmentation fragment, and is determined to described point based on the signal-to-noise ratio of the segmentation fragment
Cut the threshold size that fragment carries out background segment；
Foreground extraction equipment is connect with the noise analysis equipment, for dividing fragment for each, based on determining
Threshold value executes background segment processing to obtain corresponding foreground fragment to the segmentation fragment, and divides each of fragment by each
Foreground fragment is fitted, and to obtain foreground detection image, and exports the foreground detection image；
Data statistics equipment is connect with the foreground extraction equipment, for receiving the foreground detection image, before described
Each edge line in scape detection image is detected, and to obtain the edge line quantity in the foreground detection image, and is exported
Edge line quantity in the foreground detection image；
Decision data equipment is connect with the data statistics equipment, for receiving the edge in the foreground detection image
Line number amount, and when the edge line quantity in the foreground detection image is less than lines amount threshold, send out the less letter of lines
Breath sends out lines compared with multi information when being additionally operable to the edge line quantity in the foreground detection image more than lines amount threshold；
TF storage cards are connect with the decision data equipment, for prestoring the lines amount threshold；
Edge contrast equipment is connect respectively with the data statistics equipment and the decision data equipment, for receiving
When to the lines compared with multi information, start the real-time Edge contrast to the foreground detection image, it is corresponding sharp in real time to obtain
Change image, be additionally operable to, when receiving the less information of the lines, not carry out real-time Edge contrast to the foreground detection image,
Directly the foreground detection image is exported as real-time sharpening image；
Greasy dirt detection device is connect with the Edge contrast equipment, for receiving the real-time sharpening image, is based on greasy dirt
Characteristics of image searches out corresponding greasy dirt subgraph from the real-time sharpening image, based on default greasy dirt upper limit threshold and presets
Greasy dirt lower threshold identifies multiple greasy dirt pixels in the greasy dirt subgraph, by multiple greasy dirt Pixel fits at greasy dirt area
Domain determines that the greasy dirt region occupies the area percentage of the greasy dirt subgraph, when the area percentage transfinites, sends out
Greasy dirt detects signal；
Wherein, it in the greasy dirt detection device, when the area percentage does not transfinite, sends out greasy dirt and does not detect letter
Number；
Wherein, it in the oil removing starting device, is additionally operable to, when receiving greasy dirt and not detecting signal, stop to dining table
The oil removal treatment of desktop.
In the intelligent dining table oily waste degradation platform, further include：
Measuring apparatus is blocked, is connect with the video capture mechanism, for receiving the dining table top image and the back of the body
Scape brightness obtains the pixel value of each pixel of the dining table top image, each picture based on the dining table top image
The pixel value of vegetarian refreshments determines the overall brightness of the dining table top image using as outdoor scene brightness, and by the background luminance and institute
It states outdoor scene brightness to be matched, when the outdoor scene brightness excessively deviates from the background luminance, sends out brightness offset signal, it is no
Then, brightness matching signal is sent out.
In the intelligent dining table oily waste degradation platform, further include：
Data communications equipment is connect with the measuring apparatus of blocking, for when receiving the brightness offset signal, inciting somebody to action
It after the dining table top compression of images and is transferred at neighbouring monitoring server, is additionally operable to receiving the brightness matching letter
Number when, stop to the dining table top compression of images and transmission.
In the intelligent dining table oily waste degradation platform, further include：
Buzzing playback equipment is connect with the measuring apparatus of blocking, for when receiving the brightness offset signal, broadcasting
Put the buzzer of predeterminated frequency.
And in the intelligent dining table oily waste degradation platform：It is described receiving in the buzzing playback equipment
When brightness matching signal, stop the broadcasting of the buzzer of predeterminated frequency.
In addition, the data communications equipment is tdd communication apparatus.Time division duplex is a kind of duplex of communication system
Mode is used to detach reception and transmission channel in mobile communication system.Mobile communication positive third generation development at present, China in
In June, 1997 has submitted 3G (Third Generation) Moblie draft standard (TD-SCDMA), the spies such as tdd mode and smart antenna new technology
Color is greatly prized by and at one of three main candidate standard.The fdd mode in the first generation and second generation mobile communication system
It rules all the land, tdd mode does not draw attention.But due to being permitted for the needs of new business and the development of new technology and tdd mode
More advantages, tdd mode will be paid more and more attention.
The operation principle of time division duplex is as follows：TDD is a kind of duplex mode of communication system, is used in mobile communication system
It is received and transmission channel (or uplink downlink) in separation.It is received in the mobile communication system of tdd mode and transmission is same
The different time-gap of frequency channels, that is, carrier wave detaches reception and transmission channel with the time is ensured；And the mobile communication system of fdd mode
The reception and transmission of system are to detach reception and transmission channel with frequency range is ensured on two symmetrical frequency channels of separation.
It is different using the mobile communication system feature of different dual-modes with benefit is communicated.The movement of tdd mode is logical
The same frequency of uplink and downlink channel in letter system, thus the reciprocity with uplink and downlink channel, this is logical to the movement of tdd mode
Letter system brings many advantages.
In tdd mode, in uplink and downlink the transmission of information can be carried out in same carrier frequency, i.e.,
The transmission of information is realized by the time-division on same carrier wave in the transmission of information and downlink in uplink.
Intelligence dining table oily waste degradation platform using the present invention, it is time-consuming and laborious for dining table top oil removing in the prior art
The technical issues of, it can determine the need for starting automatic pollution removing processing based on the greasy dirt situation on dining table top, wherein according to
The quantity statistics of image inward flange line are sharp to improve image as a result, judge whether to need to execute real-time Edge contrast to image
Change the adaptive ability of processing；On the basis of the processing of white balance processing equipment and Morphological scale-space equipment, place is treated in realization
It manages the orientation of the foreground image of image, targetedly extract, more valuable wait for is provided for the identification and detection of subsequent image
Analyze data；The overall brightness for acquiring image is matched with Benchmark brightness, determines whether to carry out to be based on matched result
Block alarm, wherein be used for using buzzing playback equipment when receiving the brightness offset signal, play the bee of predeterminated frequency
Song, to solve above-mentioned technical problem.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, every content without departing from technical solution of the present invention is right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (7)
1. a kind of intelligence dining table oily waste degradation platform, which is characterized in that the platform includes：
Oil removing starting device is arranged on the desktop of dining table, for when receiving greasy dirt detection signal, starting the table to dining table
The oil removal treatment in face.
2. intelligence dining table oily waste degradation platform as described in claim 1, which is characterized in that the platform further includes：
Video capture mechanism, including video acquisition unit, parameter extraction unit and data estimation unit, the video acquisition unit
It is shot for the desktop to dining table to export dining table top image, the parameter extraction unit is used to capture the video
Scene carries out brightness measurement where mechanism, to obtain and export corresponding real-time scene brightness, the data estimation unit difference
Connect with the video acquisition unit and the parameter extraction unit, for obtain the optical characteristics of the video acquisition unit with
And the real-time scene brightness is received, and the optical characteristics based on the video acquisition unit and the real-time scene brightness calculation
The background luminance of the video acquisition unit output image.
3. intelligence dining table oily waste degradation platform as claimed in claim 2, which is characterized in that the platform further includes：
White balance processing equipment is connect with the video acquisition unit, for receiving the dining table top image, to the dining table
Desktop picture executes white balance processing, to obtain and export corresponding white balance image；
Morphological scale-space equipment, including the sub- equipment of expansion process and the sub- equipment of corrosion treatment, the sub- equipment of the expansion process and institute
The connection of white balance processing equipment is stated, expansion process is executed for receiving the white balance image, and to the white balance image, with
Corresponding expansion process image is obtained, the sub- equipment of corrosion treatment is connect with the sub- equipment of the expansion process, for receiving
Expansion process image is stated, and corrosion treatment is executed to the expansion process image, to obtain corresponding corrosion treatment image；
Pixel Data-Statistics equipment is connect with the Morphological scale-space equipment, for receiving the corrosion treatment image, described in acquisition
Each brightness value of each pixel of corrosion treatment image executes mean square deviation to each brightness value and calculates, by acquisition
The numerical value of mean square deviation is used as to be exported with reference to data；
Fragment extraction equipment is connect with the pixel Data-Statistics equipment, for receiving the corrosion treatment image and the reference
Data carry out uniform formula segmentation based on the reference data to the corrosion treatment image, to obtain multiple segmentation fragments,
In, the reference data is bigger, and the quantity that the segmentation fragment that uniform formula segmentation obtains is carried out to the corrosion treatment image is more；
Noise analysis equipment is connect with the fragment extraction equipment, for receiving the multiple segmentation fragment, for each point
Fragment is cut, the amplitude ranking five kinds of noise types of first five in the segmentation fragment is detected, is distinguished based on five kinds of noise types
Corresponding amplitude determines the signal-to-noise ratio of the segmentation fragment, and broken to the segmentation based on the signal-to-noise ratio determination of the segmentation fragment
Piece carries out the threshold size of background segment；
Foreground extraction equipment is connect with the noise analysis equipment, for dividing fragment for each, based on determining threshold value
Background segment processing is executed to obtain corresponding foreground fragment to the segmentation fragment, and by each foreground of each segmentation fragment
Fragment is fitted, and to obtain foreground detection image, and exports the foreground detection image；
Data statistics equipment is connect with the foreground extraction equipment, for receiving the foreground detection image, is examined to the foreground
Each edge line in altimetric image is detected, to obtain the edge line quantity in the foreground detection image, and described in output
Edge line quantity in foreground detection image；
Decision data equipment is connect with the data statistics equipment, for receiving the edge line number in the foreground detection image
Amount, and when the edge line quantity in the foreground detection image is less than lines amount threshold, the less information of lines is sent out, also
When being more than lines amount threshold for the edge line quantity in the foreground detection image, lines are sent out compared with multi information；
TF storage cards are connect with the decision data equipment, for prestoring the lines amount threshold；
Edge contrast equipment is connect respectively with the data statistics equipment and the decision data equipment, for receiving
When stating lines compared with multi information, start the real-time Edge contrast to the foreground detection image, to obtain corresponding sharpening figure in real time
Picture is additionally operable to, when receiving the less information of the lines, not carry out real-time Edge contrast to the foreground detection image, directly
The foreground detection image is exported as real-time sharpening image；
Greasy dirt detection device is connect with the Edge contrast equipment, for receiving the real-time sharpening image, is based on greasy dirt image
Feature searches out corresponding greasy dirt subgraph from the real-time sharpening image, based on default greasy dirt upper limit threshold and default greasy dirt
Lower threshold identifies multiple greasy dirt pixels in the greasy dirt subgraph, by multiple greasy dirt Pixel fits at greasy dirt region, really
The area percentage that the fixed greasy dirt region occupies the greasy dirt subgraph sends out greasy dirt when the area percentage transfinites
Detect signal；
Wherein, it in the greasy dirt detection device, when the area percentage does not transfinite, sends out greasy dirt and does not detect signal；
Wherein, it in the oil removing starting device, is additionally operable to, when receiving greasy dirt and not detecting signal, stop the desktop to dining table
Oil removal treatment.
4. intelligence dining table oily waste degradation platform as claimed in claim 3, which is characterized in that the platform further includes：
Measuring apparatus is blocked, is connect with the video capture mechanism, it is bright for receiving the dining table top image and the background
Degree, obtains the pixel value of each pixel of the dining table top image, each pixel based on the dining table top image
Pixel value determine the overall brightness of the dining table top image using as outdoor scene brightness, and by the background luminance and the reality
Scape brightness is matched, and when the outdoor scene brightness excessively deviates from the background luminance, sends out brightness offset signal, otherwise,
Send out brightness matching signal.
5. intelligence dining table oily waste degradation platform as claimed in claim 4, which is characterized in that the platform further includes：
Data communications equipment is connect with the measuring apparatus of blocking, will be described for when receiving the brightness offset signal
It after dining table top compression of images and is transferred at neighbouring monitoring server, is additionally operable to receiving the brightness matching signal
When, stop to the dining table top compression of images and transmission.
6. intelligence dining table oily waste degradation platform as claimed in claim 5, which is characterized in that the platform further includes：
Buzzing playback equipment is connect with the measuring apparatus of blocking, pre- for when receiving the brightness offset signal, playing
If the buzzer of frequency.
7. intelligence dining table oily waste degradation platform as claimed in claim 6, it is characterised in that：
In the buzzing playback equipment, when receiving the brightness matching signal, stop broadcasting for the buzzer of predeterminated frequency
It puts.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109969371A (en) * | 2018-08-01 | 2019-07-05 | 永康市缘匠贸易有限公司 | Refrigeration equipment fuselage guard system |
| CN110009592A (en) * | 2018-09-19 | 2019-07-12 | 永康市巴九灵科技有限公司 | Fall grey degree real-time monitoring system |
| CN110705443A (en) * | 2019-09-27 | 2020-01-17 | 杭州华慧物联科技有限公司 | Method and system for identifying cleanliness of dining table top |
| CN111214166A (en) * | 2018-11-23 | 2020-06-02 | 余姚市雷阵雨电器有限公司 | Automatic walking type dust collector |
| CN112044862A (en) * | 2019-06-06 | 2020-12-08 | 中信戴卡股份有限公司 | Lens protection device and lens protection method |
-
2018
- 2018-05-28 CN CN201810519318.9A patent/CN108513104A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109969371A (en) * | 2018-08-01 | 2019-07-05 | 永康市缘匠贸易有限公司 | Refrigeration equipment fuselage guard system |
| CN110009592A (en) * | 2018-09-19 | 2019-07-12 | 永康市巴九灵科技有限公司 | Fall grey degree real-time monitoring system |
| CN111214166A (en) * | 2018-11-23 | 2020-06-02 | 余姚市雷阵雨电器有限公司 | Automatic walking type dust collector |
| CN111214166B (en) * | 2018-11-23 | 2021-11-09 | 宁波顺超轴承有限公司 | Automatic walking type dust collector |
| CN112044862A (en) * | 2019-06-06 | 2020-12-08 | 中信戴卡股份有限公司 | Lens protection device and lens protection method |
| CN110705443A (en) * | 2019-09-27 | 2020-01-17 | 杭州华慧物联科技有限公司 | Method and system for identifying cleanliness of dining table top |
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