CN111166233B - Gear control system based on gray value analysis - Google Patents
Gear control system based on gray value analysis Download PDFInfo
- Publication number
- CN111166233B CN111166233B CN201811348615.8A CN201811348615A CN111166233B CN 111166233 B CN111166233 B CN 111166233B CN 201811348615 A CN201811348615 A CN 201811348615A CN 111166233 B CN111166233 B CN 111166233B
- Authority
- CN
- China
- Prior art keywords
- processing
- sub
- image
- equipment
- control system
- 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.)
- Active
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L9/00—Details or accessories of suction cleaners, e.g. mechanical means for controlling the suction or for effecting pulsating action; Storing devices specially adapted to suction cleaners or parts thereof; Carrying-vehicles specially adapted for suction cleaners
- A47L9/28—Installation of the electric equipment, e.g. adaptation or attachment to the suction cleaner; Controlling suction cleaners by electric means
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L9/00—Details or accessories of suction cleaners, e.g. mechanical means for controlling the suction or for effecting pulsating action; Storing devices specially adapted to suction cleaners or parts thereof; Carrying-vehicles specially adapted for suction cleaners
- A47L9/10—Filters; Dust separators; Dust removal; Automatic exchange of filters
- A47L9/106—Dust removal
Abstract
The invention relates to a gear control system based on gray value analysis, which comprises: the power supply type manual key is arranged on the machine-controlled dust collector and is used for controlling a switch and each gear of the machine-controlled dust collector; the anti-static protection equipment is arranged at the air suction port of the machine-controlled dust collector and is used for performing anti-static protection on air suction of the machine-controlled dust collector; the automatic gear control equipment is used for receiving a reference gray value and determining the corresponding current operating gear of the machine-controlled dust collector based on the reference gray value, wherein the larger the reference gray value is, the higher the determined current operating gear is; and a bottom imaging device provided at a lower surface of the base of the robot-controlled cleaner for performing an imaging operation on a carpet therebelow to obtain a continuous image of the carpet therebelow on a time axis. By the invention, the dust collection efficiency of the mechanical control type dust collector can be improved.
Description
Technical Field
The invention relates to the field of machine-controlled dust collectors, in particular to a gear control system based on gray value analysis.
Background
Nonwoven fabric dust bags are one of the types of dust bags commonly used in prior art robotic vacuum cleaners. The recyclable non-woven fabric dust bag needs to be cleaned regularly, and dust splashed out when the non-woven fabric dust bag is taken out is easily sucked by a user along with air, so that secondary pollution to a room is caused. If the disposable dust bag is used, the paper bag with the proper size needs to be replaced regularly, and the paper dust bag with the size of several yuan to ten and several yuan can cost a great deal of extra cost for consumers. And the dust bag is invisible inside, the dust collection amount cannot be controlled, and frequent cleaning and dust bag replacement or untimely cleaning are easily caused to reduce the suction force.
At present, the simple solidification of dust absorption gear control mode of machine accuse formula dust catcher can't carry out the self-adaptation according to the concrete dust distribution condition that will clean the carpet and clean, leads to frequently appearing a large amount of invalid dust removal operations.
Disclosure of Invention
In order to solve the technical problem of simple solidification of a dust collection gear control mode of a current machine-controlled dust collector, the invention provides a gear control system based on gray value analysis, wherein a plurality of value blocks are selected from a plurality of moving targets detected in a current image in a targeted manner for subsequent analysis of the image, so that the situation that the image operation is trapped in a large data volume is avoided; the method is particularly characterized in that the current operation gear of the machine-controlled dust collector in direct proportion to the gray value is automatically determined based on the gray value distribution condition of the relevant value blocks of the carpet to be cleaned, so that the dust collection efficiency of the machine-controlled dust collector is improved.
According to an aspect of the present invention, there is provided a shift position control system based on gradation value analysis, the system including:
the power supply type manual key is arranged on the machine-controlled dust collector and is used for controlling a switch and each gear of the machine-controlled dust collector; the anti-static protection equipment is arranged at the air suction port of the machine-controlled dust collector and is used for performing anti-static protection on air suction of the machine-controlled dust collector; the automatic gear control equipment is used for receiving a reference gray value and determining the corresponding current operating gear of the machine-controlled dust collector based on the reference gray value, wherein the larger the reference gray value is, the higher the determined current operating gear is; a bottom-end imaging device provided at a lower surface of a base of the machine-controlled dust collector for performing an imaging operation on a carpet therebelow to obtain a continuous image of the carpet therebelow on a time axis; the brightness correction device is connected with the bottom end imaging device and used for receiving the lower carpet image and executing brightness correction processing on the lower carpet image to obtain a brightness correction image; the motion detection device is connected with the brightness correction device and used for receiving continuous multi-frame brightness correction images on a time axis, determining a plurality of motion targets in the current brightness correction image based on content differences among the multi-frame brightness correction images, and acquiring each target block corresponding to the plurality of motion targets in the current brightness correction image; the proportion measuring equipment is connected with the motion detection equipment and is used for determining the ratio of the number of all pixel points of each target block to the number of all pixel points of the current brightness correction image and outputting a plurality of target blocks with the ratio exceeding the limit as a plurality of value blocks; the FLASH storage chip is connected with the proportion measuring equipment and is used for storing the value blocks; the first processing equipment is connected with the proportion measuring equipment and is used for respectively carrying out histogram equalization processing on the value blocks to obtain a plurality of corresponding first processing blocks and outputting the first processing blocks; a second processing device, connected to the first processing device, for receiving the plurality of first processing blocks, and performing the following for each processing block: selecting a wavelet basis of a corresponding dimension based on the noise amplitude of each processing block to perform wavelet filtering processing on each processing block to obtain a corresponding second processing block; the second processing device is further configured to output a plurality of second processing blocks corresponding to the plurality of first processing blocks, respectively; a grayscale discriminating device connected to the second processing device for receiving the plurality of second processing blocks, performing the following for each second processing block: determining the blocking gray value of the second processing block based on each gray value of each pixel point of the second processing block; the gray scale identification device further performs mean calculation on a plurality of block gray scale values of the plurality of second processing blocks to obtain a reference gray scale value; and the clock oscillation equipment is connected with the first processing equipment, the second processing equipment and the third processing equipment and is used for providing timing clocks for the first processing equipment, the second processing equipment and the third processing equipment.
More specifically, in the gradation value analysis-based shift position control system: the proportion measuring equipment comprises a block receiving sub-equipment, a ratio analyzing sub-equipment and a ratio processing sub-equipment; in the ratio measuring device, the ratio analyzing sub-device is connected to the block receiving sub-device and the ratio processing sub-device, respectively.
More specifically, in the gradation value analysis-based shift position control system: the FLASH storage chip is also connected with the second processing equipment and is used for receiving and storing the plurality of second processing blocks.
More specifically, in the gear shift control system based on gradation value analysis, the method further includes:
and the optical fiber interface is respectively connected with the motion detection equipment and the proportion measurement equipment and is used for receiving and sending the value blocks.
More specifically, in the gradation value analysis-based shift position control system: the brightness correction device comprises a first capture sub-device, a second capture sub-device and a data adjustment sub-device, wherein the data adjustment sub-device is respectively connected with the first capture sub-device and the second capture sub-device.
More specifically, in the gradation value analysis-based shift position control system: the first capturing sub-device is used for receiving an image of a lower carpet, and acquiring a brightness component of the image of the lower carpet and a non-brightness component of the image of the lower carpet.
More specifically, in the gradation value analysis-based shift position control system: the second capturing sub-device is used for receiving the lower carpet image, obtaining the brightness average value of the lower carpet image, obtaining an image brightness predicted value based on the current moment, and correcting the image brightness predicted value through the brightness average value of the lower carpet image to obtain the reference brightness value of the lower carpet image.
More specifically, in the gradation value analysis-based shift position control system: the data adjustment sub-device is configured to correct a luminance component of the lower carpet image based on a reference luminance value of the lower carpet image to obtain a corrected luminance component, and to superimpose the corrected luminance component and the non-luminance component to obtain a luminance corrected image.
More specifically, in the gradation value analysis-based shift position control system: the first capturing sub-device, the second capturing sub-device and the data adjusting sub-device are respectively realized by adopting programmable logic devices with different models; the first capturing sub-device, the second capturing sub-device and the data adjusting sub-device are all designed in VHDL language, and the first capturing sub-device, the second capturing sub-device and the data adjusting sub-device are respectively integrated on the same printed circuit board.
More specifically, in the gradation value analysis-based shift position control system: and the MMC memory card is connected with the data adjusting sub-equipment and used for receiving the brightness correction image and temporarily storing the brightness correction image.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a view illustrating an internal structure of a canister top of a robot-controlled cleaner of a shift control system based on gray scale value analysis according to an embodiment of the present invention.
Detailed Description
An embodiment of the shift position control system based on gradation value analysis according to the present invention will be described in detail with reference to the accompanying drawings.
The dust collecting barrel of the dust collector is easy to clean and does not need to be replaced, so that secondary consumption is avoided, and the trouble of purchasing a matched dust bag is avoided for consumers. One-key type dumping released by part of brands enables cleaning to be more convenient, and money and labor are saved. The dust collecting barrel of the common dust-free bag type dust collector is transparent or semitransparent, so that the state of dust in the dust collecting barrel is clear at a glance, and the cleaning frequency is controlled conveniently and small objects which are sucked carelessly are searched. The dust collector thoroughly separates dust and air through high-speed centrifugal force and the elliptical cyclone, and the dust separated by the turbine maintaining structure maintains air flow to fall into the bottom of the dust collecting barrel so as to achieve the purpose of dust removal. Because the filtering system on the dust collecting barrel of the dust collector is relatively separated from the dust collecting system, the filter cannot be blocked, and the dust collecting effect is durable and strong. The dust collecting barrel is larger in size, so that the frequency of dumping dust can be reduced. And the filter can not twine hair and the like, can be directly washed by water and is very easy to clean.
In order to overcome the defects, the invention builds a gear control system based on gray value analysis, and can effectively solve the corresponding technical problem.
Fig. 1 is a view illustrating an internal structure of a canister top of a robot-controlled cleaner of a shift control system based on gray scale value analysis according to an embodiment of the present invention.
The gear control system based on the gray value analysis according to the embodiment of the invention includes:
the power supply type manual key is arranged on the machine-controlled dust collector and is used for controlling a switch and each gear of the machine-controlled dust collector;
the anti-static protection equipment is arranged at the air suction port of the machine-controlled dust collector and is used for performing anti-static protection on air suction of the machine-controlled dust collector;
the automatic gear control equipment is used for receiving a reference gray value and determining the corresponding current operating gear of the machine-controlled dust collector based on the reference gray value, wherein the larger the reference gray value is, the higher the determined current operating gear is;
a bottom-end imaging device provided at a lower surface of a base of the machine-controlled dust collector for performing an imaging operation on a carpet therebelow to obtain a continuous image of the carpet therebelow on a time axis;
the brightness correction device is connected with the bottom end imaging device and used for receiving the lower carpet image and executing brightness correction processing on the lower carpet image to obtain a brightness correction image;
the motion detection device is connected with the brightness correction device and used for receiving continuous multi-frame brightness correction images on a time axis, determining a plurality of motion targets in the current brightness correction image based on content differences among the multi-frame brightness correction images, and acquiring each target block corresponding to the plurality of motion targets in the current brightness correction image;
the proportion measuring equipment is connected with the motion detection equipment and is used for determining the ratio of the number of all pixel points of each target block to the number of all pixel points of the current brightness correction image and outputting a plurality of target blocks with the ratio exceeding the limit as a plurality of value blocks;
the FLASH storage chip is connected with the proportion measuring equipment and is used for storing the value blocks;
the first processing equipment is connected with the proportion measuring equipment and is used for respectively carrying out histogram equalization processing on the value blocks to obtain a plurality of corresponding first processing blocks and outputting the first processing blocks;
a second processing device, connected to the first processing device, for receiving the plurality of first processing blocks, and performing the following for each processing block: selecting a wavelet basis of a corresponding dimension based on the noise amplitude of each processing block to perform wavelet filtering processing on each processing block to obtain a corresponding second processing block; the second processing device is further configured to output a plurality of second processing blocks corresponding to the plurality of first processing blocks, respectively;
a grayscale discriminating device connected to the second processing device for receiving the plurality of second processing blocks, performing the following for each second processing block: determining the blocking gray value of the second processing block based on each gray value of each pixel point of the second processing block; the gray scale identification device further performs mean calculation on a plurality of block gray scale values of the plurality of second processing blocks to obtain a reference gray scale value;
and the clock oscillation equipment is connected with the first processing equipment, the second processing equipment and the third processing equipment and is used for providing timing clocks for the first processing equipment, the second processing equipment and the third processing equipment.
Next, a further description of a specific configuration of the shift position control system based on gradation value analysis according to the present invention will be continued.
In the gradation value analysis-based shift control system:
the proportion measuring equipment comprises a block receiving sub-equipment, a ratio analyzing sub-equipment and a ratio processing sub-equipment;
in the ratio measuring device, the ratio analyzing sub-device is connected to the block receiving sub-device and the ratio processing sub-device, respectively.
In the gradation value analysis-based shift control system: the FLASH storage chip is also connected with the second processing equipment and is used for receiving and storing the plurality of second processing blocks.
In the gear control system based on gray value analysis, the method further comprises:
and the optical fiber interface is respectively connected with the motion detection equipment and the proportion measurement equipment and is used for receiving and sending the value blocks.
In the gradation value analysis-based shift control system: the brightness correction device comprises a first capture sub-device, a second capture sub-device and a data adjustment sub-device, wherein the data adjustment sub-device is respectively connected with the first capture sub-device and the second capture sub-device.
In the gradation value analysis-based shift control system: the first capturing sub-device is used for receiving an image of a lower carpet, and acquiring a brightness component of the image of the lower carpet and a non-brightness component of the image of the lower carpet.
In the gradation value analysis-based shift control system: the second capturing sub-device is used for receiving the lower carpet image, obtaining the brightness average value of the lower carpet image, obtaining an image brightness predicted value based on the current moment, and correcting the image brightness predicted value through the brightness average value of the lower carpet image to obtain the reference brightness value of the lower carpet image.
In the gradation value analysis-based shift control system: the data adjustment sub-device is configured to correct a luminance component of the lower carpet image based on a reference luminance value of the lower carpet image to obtain a corrected luminance component, and to superimpose the corrected luminance component and the non-luminance component to obtain a luminance corrected image.
In the gradation value analysis-based shift control system: the first capturing sub-device, the second capturing sub-device and the data adjusting sub-device are respectively realized by adopting programmable logic devices with different models;
the first capturing sub-device, the second capturing sub-device and the data adjusting sub-device are all designed in VHDL language, and the first capturing sub-device, the second capturing sub-device and the data adjusting sub-device are respectively integrated on the same printed circuit board.
In the gradation value analysis-based shift control system: and the MMC memory card is connected with the data adjusting sub-equipment and used for receiving the brightness correction image and temporarily storing the brightness correction image.
In addition, VHDL is mainly used to describe the structure, behavior, function, and interface of a digital system. Except for the fact that it contains many statements with hardware features, the linguistic form, description style, and syntax of VHDL are very similar to a general computer high-level language. The structural features of the VHDL program are to divide an engineering design, or design entity (which may be a component, a circuit module or a system) into an external (or visible part, and port) and an internal (or invisible part), which relate to the internal functions and algorithm completion of the entity. After an external interface is defined for a design entity, once its internal development is complete, other designs can invoke the entity directly. This concept of dividing the design entity into inner and outer parts is the fundamental point of VHDL system design. VHDL has powerful language structure, and can describe complex logic control by simple and clear source code. The method has a multi-level design description function, is refined layer by layer, and can directly generate circuit level description. VHDL supports the design of synchronous, asynchronous, and random circuits, which is incomparable with other hardware description languages. VHDL also supports various design methods, both bottom-up and top-down; the method supports both modular design and hierarchical design.
By adopting the gear control system based on gray value analysis, aiming at the technical problem that a machine-controlled dust collector in the prior art is lack of an effective automatic gear control mode, a plurality of value blocks are selected in a plurality of moving targets detected from a current image in a targeted manner for subsequent analysis of the image, so that the situation of image operation with large data volume is avoided; the method is particularly characterized in that the current operation gear of the machine-controlled dust collector in direct proportion to the gray value is automatically determined based on the gray value distribution condition of the relevant value blocks of the carpet to be cleaned, so that the dust collection efficiency of the machine-controlled dust collector is improved.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (10)
1. A shift position control system based on gradation value analysis, characterized by comprising:
the power supply type manual key is arranged on the machine-controlled dust collector and is used for controlling a switch and each gear of the machine-controlled dust collector;
the anti-static protection equipment is arranged at the air suction port of the machine-controlled dust collector and is used for performing anti-static protection on air suction of the machine-controlled dust collector;
the automatic gear control equipment is used for receiving a reference gray value and determining the corresponding current operating gear of the machine-controlled dust collector based on the reference gray value, wherein the larger the reference gray value is, the higher the determined current operating gear is;
a bottom-end imaging device provided at a lower surface of a base of the machine-controlled dust collector for performing an imaging operation on a carpet therebelow to obtain a continuous image of the carpet therebelow on a time axis;
the brightness correction device is connected with the bottom end imaging device and used for receiving the lower carpet image and executing brightness correction processing on the lower carpet image to obtain a brightness correction image;
the motion detection device is connected with the brightness correction device and used for receiving continuous multi-frame brightness correction images on a time axis, determining a plurality of motion targets in the current brightness correction image based on content differences among the multi-frame brightness correction images, and acquiring each target block corresponding to the plurality of motion targets in the current brightness correction image;
the proportion measuring equipment is connected with the motion detection equipment and is used for determining the ratio of the number of all pixel points of each target block to the number of all pixel points of the current brightness correction image and outputting a plurality of target blocks with the ratio exceeding the limit as a plurality of value blocks;
the FLASH storage chip is connected with the proportion measuring equipment and is used for storing the value blocks;
the first processing equipment is connected with the proportion measuring equipment and is used for respectively carrying out histogram equalization processing on the value blocks to obtain a plurality of corresponding first processing blocks and outputting the first processing blocks;
a second processing device, connected to the first processing device, for receiving the plurality of first processing blocks, and performing the following for each processing block: selecting a wavelet basis of a corresponding dimension based on the noise amplitude of each processing block to perform wavelet filtering processing on each processing block to obtain a corresponding second processing block; the second processing device is further configured to output a plurality of second processing blocks corresponding to the plurality of first processing blocks, respectively;
a grayscale discriminating device connected to the second processing device for receiving the plurality of second processing blocks, performing the following for each second processing block: determining the blocking gray value of the second processing block based on each gray value of each pixel point of the second processing block; the gray scale identification device further performs mean calculation on a plurality of block gray scale values of the plurality of second processing blocks to obtain a reference gray scale value;
and the clock oscillation equipment is connected with the first processing equipment, the second processing equipment and the third processing equipment and is used for providing timing clocks for the first processing equipment, the second processing equipment and the third processing equipment.
2. The gradation value analysis-based shift position control system according to claim 1, wherein:
the proportion measuring equipment comprises a block receiving sub-equipment, a ratio analyzing sub-equipment and a ratio processing sub-equipment;
in the ratio measuring device, the ratio analyzing sub-device is connected to the block receiving sub-device and the ratio processing sub-device, respectively.
3. A shift position control system based on gradation value analysis as set forth in claim 2, wherein:
the FLASH storage chip is also connected with the second processing equipment and is used for receiving and storing the plurality of second processing blocks.
4. A shift position control system based on gray value analysis as set forth in claim 3, characterized in that said system further comprises:
and the optical fiber interface is respectively connected with the motion detection equipment and the proportion measurement equipment and is used for receiving and sending the value blocks.
5. The gradation value analysis-based shift position control system according to claim 4, wherein:
the brightness correction device comprises a first capture sub-device, a second capture sub-device and a data adjustment sub-device, wherein the data adjustment sub-device is respectively connected with the first capture sub-device and the second capture sub-device.
6. The gradation value analysis-based shift position control system according to claim 5, wherein:
the first capturing sub-device is used for receiving an image of a lower carpet, and acquiring a brightness component of the image of the lower carpet and a non-brightness component of the image of the lower carpet.
7. The gradation value analysis-based shift position control system according to claim 6, wherein:
the second capturing sub-device is used for receiving the lower carpet image, obtaining the brightness average value of the lower carpet image, obtaining an image brightness predicted value based on the current moment, and correcting the image brightness predicted value through the brightness average value of the lower carpet image to obtain the reference brightness value of the lower carpet image.
8. The gradation value analysis-based shift position control system according to claim 7, wherein:
the data adjustment sub-device is configured to correct a luminance component of the lower carpet image based on a reference luminance value of the lower carpet image to obtain a corrected luminance component, and to superimpose the corrected luminance component and the non-luminance component to obtain a luminance corrected image.
9. The gradation value analysis-based shift position control system according to claim 8, wherein:
the first capturing sub-device, the second capturing sub-device and the data adjusting sub-device are respectively realized by adopting programmable logic devices with different models;
the first capturing sub-device, the second capturing sub-device and the data adjusting sub-device are all designed in VHDL language, and the first capturing sub-device, the second capturing sub-device and the data adjusting sub-device are respectively integrated on the same printed circuit board.
10. The gradation value analysis-based shift position control system according to claim 9, further comprising:
and the MMC memory card is connected with the data adjusting sub-equipment and used for receiving the brightness correction image and temporarily storing the brightness correction image.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811348615.8A CN111166233B (en) | 2018-11-13 | 2018-11-13 | Gear control system based on gray value analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811348615.8A CN111166233B (en) | 2018-11-13 | 2018-11-13 | Gear control system based on gray value analysis |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111166233A CN111166233A (en) | 2020-05-19 |
| CN111166233B true CN111166233B (en) | 2021-06-01 |
Family
ID=70617708
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811348615.8A Active CN111166233B (en) | 2018-11-13 | 2018-11-13 | Gear control system based on gray value analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111166233B (en) |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05145890A (en) * | 1991-11-22 | 1993-06-11 | Mitsubishi Electric Corp | Magnetic recording and reproducing device |
| KR100371428B1 (en) * | 1995-03-28 | 2003-04-08 | 마츠시타 덴끼 산교 가부시키가이샤 | Image recording apparatus and image reproducing apparatus |
| JP2000036967A (en) * | 1998-07-21 | 2000-02-02 | Sony Corp | Image processing system and camera system |
| JP4652720B2 (en) * | 2004-05-07 | 2011-03-16 | キヤノン株式会社 | Color image forming apparatus and control method thereof |
| JP4710403B2 (en) * | 2005-04-27 | 2011-06-29 | 日産自動車株式会社 | Vehicular image generation apparatus and method |
| CN104270553B (en) * | 2014-09-28 | 2017-12-08 | 北京奇艺世纪科技有限公司 | A kind of switching detection method of video scene and device |
-
2018
- 2018-11-13 CN CN201811348615.8A patent/CN111166233B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN111166233A (en) | 2020-05-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109998437B (en) | Method for determining cleaning mode and dish-washing machine | |
| CN112800997B (en) | Living body detection method, device and equipment | |
| US8014628B2 (en) | Image inspection apparatus, image inspection method and computer program | |
| CN106548185A (en) | A kind of foreground area determines method and apparatus | |
| CN204097748U (en) | A kind of washing machine identifies the device of garment material information | |
| CN109791615A (en) | For detecting and tracking the method, target object tracking equipment and computer program product of target object | |
| CN106149286A (en) | A kind of control method for washing machine based on image recognition | |
| CN106288591A (en) | A kind of refrigerator with food materials management function and food management method | |
| JP7132743B2 (en) | Information processing device, control device, and unsuitable object detection system | |
| JP6049334B2 (en) | Detection apparatus, detection method, and program | |
| CN111166233B (en) | Gear control system based on gray value analysis | |
| WO2023138365A1 (en) | Method for controlling cleaning device, and device and storage medium | |
| CN111830039A (en) | Intelligent product quality detection method and device | |
| CN105160670A (en) | Glass defect type identification method | |
| CN105824441A (en) | Navigation device and track smoothing method thereof | |
| CN110297545A (en) | Gestural control method, gesture control device and system and storage medium | |
| CN110020598A (en) | A kind of method and device based on foreign matter on deep learning detection electric pole | |
| CN113116247B (en) | Cleaning robot maintenance method, cleaning robot, cleaning system, and storage medium | |
| CN115104957B (en) | Dust box cleaning control method and device of sweeping robot and storage medium | |
| CN104574398B (en) | A kind of vanning cigarette filter stick number system based on line scan camera | |
| CN112115839A (en) | Clothes cleaning method and device, storage medium and electronic device | |
| CN110166769A (en) | Detect method, apparatus, system and the storage medium of camera module output dislocation | |
| CN111507207A (en) | Article storage method, apparatus, storage medium, and terminal | |
| CN107638289B (en) | Nasal cavity dirt real-time detector | |
| CN109725561B (en) | Throat pipe opening field control platform |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20210510 Address after: 226600 industrial concentration area (Renmin Road), Libu Town, Hai'an City, Nantong City, Jiangsu Province Applicant after: Haian Union Machinery Technology Co.,Ltd. Address before: 315400 Xiaotang Street Industrial Park, Yuyao City, Ningbo City, Zhejiang Province Applicant before: YUYAO LEIZHENYU ELECTRICAL APPLIANCE Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |