CN111203055A - Suction hose body shake removing mechanism - Google Patents
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Abstract
The invention relates to a suction hose body shake removing mechanism, which comprises: the dust remover comprises a dust remover main body, a dust removing device and a dust removing device, wherein the dust remover main body comprises a funnel barrel, a cyclone intermediate plate, a middle barrel, a dust cleaning rod, a fine dust filter, a top cover and a suction hose, one end of the suction hose is used as a dust removing opening, the other end of the suction hose is connected with the top cover, the fine dust filter is arranged below the top cover, the dust cleaning rod is inserted into the barrel body of the middle barrel, the cyclone intermediate plate is arranged between the middle barrel and the funnel barrel, and the funnel barrel is used for containing dust; and the real-time debouncing equipment is connected with the suction hose and is used for realizing debouncing treatment on the tube body of the suction hose based on the received real-time fatigue level, wherein the higher the received real-time fatigue level is, the higher the intensity of the debouncing treatment on the tube body of the suction hose is. By the method and the device, the shaking-removing scene adaptability of the suction hose body is improved.
Description
Technical Field
The invention relates to the field of suction hoses, in particular to a shake removing mechanism for a tube body of a suction hose.
Background
A dust remover is a device for separating dust from flue gas, and is called a dust remover or a dust removing device. The performance of a precipitator is expressed in terms of the amount of gas that can be treated, the resistance loss of the gas as it passes through the precipitator, and the efficiency of the precipitation. Meanwhile, the price, the operation and maintenance cost, the service life and the difficulty of operation management of the dust remover are also important factors considering the performance of the dust remover. Dust collectors are common facilities in boilers and industrial production.
The dust-containing gas is conveyed into a dust removal device through a pipeline gas path, the dust is collected in the dust removal device after gas-solid separation is carried out in the dust removal device, the clean gas is introduced into a header pipe or is directly discharged into the atmosphere, namely, the dust removal system, and a dust remover is an important group part in the system. From the perspective of ventilation and dust removal, dust is all small solid particles which can exist in air in a floating state for a long time, and is a dispersion system called aerosol, wherein air is a dispersion medium, and solid particles are a dispersion phase. A dust separator is a device that separates such small solid particles from an aerosol.
Disclosure of Invention
In order to solve the technical problem that the intelligent level of a shake removal mode of a suction hose is low in the prior art, the invention provides a shake removal mechanism for a suction hose body, which determines the shake removal intensity of the corresponding suction hose body based on the detection of the facial fatigue level of a dust collector user, and improves the intelligent level of the shake removal mechanism of the dust collector; meanwhile, in the detection of specific face fatigue levels, a maximum area enclosed by a plurality of effective lines and a plurality of effective columns in the image is output as an effective area, so that the effective area is adopted to replace the whole image for subsequent image processing.
According to an aspect of the present invention, there is provided a suction hose body debounce mechanism, the mechanism comprising:
the dust remover comprises a dust remover main body, a dust removing device and a dust removing device, wherein the dust remover main body comprises a funnel barrel, a cyclone intermediate plate, a middle barrel, a dust cleaning rod, a fine dust filter, a top cover and a suction hose, one end of the suction hose is used as a dust removing opening, the other end of the suction hose is connected with the top cover, the fine dust filter is arranged below the top cover, the dust cleaning rod is inserted into the barrel body of the middle barrel, the cyclone intermediate plate is arranged between the middle barrel and the funnel barrel, and the funnel barrel is used for containing dust; the real-time debouncing device is connected with the suction hose and is used for realizing debouncing processing of the tube body of the suction hose based on the received real-time fatigue level, and the higher the received real-time fatigue level is, the higher the intensity of the debouncing processing of the tube body of the suction hose is; the CCD sensing equipment is arranged above the top cover of the dust remover main body and used for sensing image data of a scene where the dust remover main body is located so as to obtain a corresponding image above the top cover and output the image above the top cover; the repeatability filtering equipment is connected with the CCD sensing equipment and used for executing corresponding filtering processing on the image above the top cover based on the content repeatability of the image above the top cover so as to obtain and output an repeatability filtering image; the component conversion equipment is connected with the repeatability filtering equipment and is used for carrying out color component conversion on the repeatability filtering image so as to obtain red and green components, black and white components and yellow and blue components of each pixel point in the repeatability filtering image; the line analysis equipment is connected with the component conversion equipment and used for calculating the red-green component standard deviation of each line of pixel points based on the red-green components of all the pixel points in the repetition degree filtering image and taking the line of which the red-green component standard deviation is more than or equal to the line standard deviation threshold value as an effective line; the column analysis equipment is connected with the component conversion equipment and used for calculating the red-green component standard deviation of each column of pixel points based on the red-green components of all the pixel points in the repetition degree filtering image and taking the column with the red-green component standard deviation being more than or equal to the column standard deviation threshold value as an effective column; the area identification device is respectively connected with the line analysis device and the column analysis device and is used for receiving a plurality of effective lines and a plurality of effective columns and outputting a maximum area formed by the effective lines and the effective columns in the repetition degree filtering image as an effective area; the field sharpening device is connected with the area identification device and is used for receiving the effective area, analyzing the current sharpening degree of the effective area, and performing corresponding instant sharpening processing on the effective area based on the current sharpening degree to obtain and output a field sharpening area; the data filtering device is connected with the field sharpening device and is used for executing wiener filtering on the field sharpening region to obtain and output a wiener filtering region; and the fatigue grade identification device is respectively connected with the real-time trembling removal device and the data filtering device and is used for identifying a human face sub-region from the wiener filtering region, and analyzing a fatigue grade corresponding to the human face sub-region based on facial image characteristics to output the fatigue grade as a real-time fatigue grade.
More specifically, in the suction hose pipe body debounce mechanism, the suction hose pipe body debounce mechanism further includes:
and the power supply device is respectively connected with the component conversion device, the row analysis device, the column analysis device and the area identification device and is used for supplying power to the component conversion device, the row analysis device, the column analysis device and the area identification device.
More specifically, in the suction hose tube debounce mechanism: the row analysis device and the column analysis device are parallel processing devices, and the row standard deviation threshold is not equal to the column standard deviation threshold.
More specifically, in the suction hose tube debounce mechanism: the component converting device, the row analyzing device, the column analyzing device, and the area identifying device are all provided with two modes of a sleep mode and an operating mode.
More specifically, in the suction hose tube debounce mechanism: in the sleep mode, the power consumption of the component conversion device, the row analysis device, the column analysis device, and the area recognition device is lower than that in the operation mode.
More specifically, in the suction hose tube debounce mechanism: the repeatability filtering equipment comprises an object analysis component, wherein the object analysis component is used for receiving an image above the top cover, determining whether each pixel belongs to an edge pixel based on whether the gray value of each pixel in the image above the top cover changes suddenly, performing geometric fitting on each edge pixel to determine the number of objects in the image above the top cover, determining the repeatability of each object in the image above the top cover, and determining the target repeatability corresponding to the image above the top cover based on the repeatability of each object in the image above the top cover.
More specifically, in the suction hose tube debounce mechanism: the repeatability filtering device comprises a field processing assembly which is connected with the object analysis assembly and used for executing wavelet filtering processing with corresponding dimension on the image above the top cover based on the received target repeatability to obtain and output a wavelet filtering image when the received target repeatability is not over-limit, and executing Gaussian filtering processing with corresponding strength on the wavelet filtering image based on the received target repeatability to obtain and output a repeatability filtering image, wherein the higher the target repeatability is, the less the corresponding dimension of the executed wavelet filtering processing is, and the smaller the corresponding strength of the executed Gaussian filtering processing is.
More specifically, in the suction hose tube debounce mechanism: and the field processing assembly is also used for executing Gaussian filtering processing with preset intensity on the image above the top cover when the received target repetition degree exceeds the limit so as to obtain and output a repetition degree filtering image.
More specifically, in the suction hose pipe body debounce mechanism, the suction hose pipe body debounce mechanism further includes:
and the FPM DRAM chip is connected with the field processing assembly and used for receiving the repeatability filtering image and storing the repeatability filtering image.
More specifically, in the suction hose tube debounce mechanism: the object analysis component is connected with the field processing component through an 8-bit parallel communication interface, a 16-bit parallel communication interface or a 32-bit parallel communication interface; wherein the object analysis component and the field processing component use the same quartz oscillation component for obtaining a synchronized reference clock signal.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural view of a swing lever of a cleaner body of a suction hose pipe body debounce mechanism according to an embodiment of the present invention.
Detailed Description
Embodiments of the suction hose body debouncing mechanism of the present invention will be described in detail below with reference to the accompanying drawings.
The dust remover can be divided into the following 5 types according to the action principle:
1. a dry mechanical dust remover mainly refers to dust removing equipment designed by applying dust inertia effect and gravity effect, such as settling chambers, inert dust removers, cyclone dust removers and other high-concentration dust removers, and is mainly used for separating or concentrating high-concentration coarse-particle dust.
2. Wet dust collectors, such as spray towers, scrubbers, impact dust collectors, venturis and the like, rely on water power to separate and collect dust particles, and are used in many occasions for treating high-concentration and large-air-volume dust-containing gas generated in the production process. The separation efficiency for coarser, hydrophilic dust is higher than that of a dry mechanical dust collector.
3. The granular layer dust remover uses the granular material accumulation layers with different granularities as filtering materials to obstruct the equipment for filtering dust contained in the gas solution. The filter is mainly used for dust points in the production processes of building materials, metallurgy and the like, and often filters dust-containing smoke with high concentration, coarse particles and higher temperature.
4. The bag type dust collector is a dust collection device with a fiber woven fabric or a filling layer as a filter medium, has wide application range, form, dust collection air volume scale and action efficiency, and is mainly used in places for trapping fine dust, namely an exhaust dust collection system and an air inlet system. In recent years, due to the continuous development of novel filter materials, the development of fiber filtration technology is accelerated, new products are continuously appeared, and the application field is increasingly widened.
5. The dust collector of the electric dust collector introduces dust-containing airflow into an electrostatic field, under the action of a high-voltage electric field, the gas is ionized to generate electrons and positive ions, the electrons and the positive ions respectively move towards positive and negative poles, when dust particles flow through the working electric field, negative charges are removed to a settling polar plate with a sign opposite to that of the negative charges at a certain speed, and the negative charges are settled down at the settling polar plate, so that the dust particles are separated from the airflow and are collected in the electric dust collector. The dust remover has high dust removal efficiency, low resistance and convenient maintenance and management. It has the same effect as a bag type dust collector in the aspect of collecting fine dust particles.
In order to overcome the defects, the invention builds the suction hose body shake removing mechanism and can effectively solve the corresponding technical problem.
The suction hose pipe body debouncing mechanism according to the embodiment of the present invention includes:
the dust remover comprises a dust remover main body, a dust removing device and a dust removing device, wherein the dust remover main body comprises a swinging rod, a funnel barrel, a cyclone intermediate plate, a middle barrel, a dust cleaning rod, a fine dust filter, a top cover and a suction hose, one end of the suction hose is used as a dust removing opening, the other end of the suction hose is connected with the top cover, the fine dust filter is arranged below the top cover, the dust cleaning rod is inserted into a barrel body of the middle barrel, the cyclone intermediate plate is arranged between the middle barrel and the funnel barrel, and the funnel barrel is used for containing dust;
the structure of the swing rod is shown in fig. 1, the swing rod is connected with the handheld rod and used for controlling the stretching of the handheld rod, and the swing rod comprises a mounting part 1 and a stretching chamber 2;
the real-time debouncing device is connected with the suction hose and is used for realizing debouncing processing of the tube body of the suction hose based on the received real-time fatigue level, and the higher the received real-time fatigue level is, the higher the intensity of the debouncing processing of the tube body of the suction hose is;
the CCD sensing equipment is arranged above the top cover of the dust remover main body and used for sensing image data of a scene where the dust remover main body is located so as to obtain a corresponding image above the top cover and output the image above the top cover;
the repeatability filtering equipment is connected with the CCD sensing equipment and used for executing corresponding filtering processing on the image above the top cover based on the content repeatability of the image above the top cover so as to obtain and output an repeatability filtering image;
the component conversion equipment is connected with the repeatability filtering equipment and is used for carrying out color component conversion on the repeatability filtering image so as to obtain red and green components, black and white components and yellow and blue components of each pixel point in the repeatability filtering image;
the line analysis equipment is connected with the component conversion equipment and used for calculating the red-green component standard deviation of each line of pixel points based on the red-green components of all the pixel points in the repetition degree filtering image and taking the line of which the red-green component standard deviation is more than or equal to the line standard deviation threshold value as an effective line;
the column analysis equipment is connected with the component conversion equipment and used for calculating the red-green component standard deviation of each column of pixel points based on the red-green components of all the pixel points in the repetition degree filtering image and taking the column with the red-green component standard deviation being more than or equal to the column standard deviation threshold value as an effective column;
the area identification device is respectively connected with the line analysis device and the column analysis device and is used for receiving a plurality of effective lines and a plurality of effective columns and outputting a maximum area formed by the effective lines and the effective columns in the repetition degree filtering image as an effective area;
the field sharpening device is connected with the area identification device and is used for receiving the effective area, analyzing the current sharpening degree of the effective area, and performing corresponding instant sharpening processing on the effective area based on the current sharpening degree to obtain and output a field sharpening area;
the data filtering device is connected with the field sharpening device and is used for executing wiener filtering on the field sharpening region to obtain and output a wiener filtering region;
and the fatigue grade identification device is respectively connected with the real-time trembling removal device and the data filtering device and is used for identifying a human face sub-region from the wiener filtering region, and analyzing a fatigue grade corresponding to the human face sub-region based on facial image characteristics to output the fatigue grade as a real-time fatigue grade.
Next, a detailed structure of the suction hose body shake reducing mechanism of the present invention will be further described.
In the suction hose body debounce mechanism, still include:
and the power supply device is respectively connected with the component conversion device, the row analysis device, the column analysis device and the area identification device and is used for supplying power to the component conversion device, the row analysis device, the column analysis device and the area identification device.
In the suction hose pipe body debouncing mechanism: the row analysis device and the column analysis device are parallel processing devices, and the row standard deviation threshold is not equal to the column standard deviation threshold.
In the suction hose pipe body debouncing mechanism: the component converting device, the row analyzing device, the column analyzing device, and the area identifying device are all provided with two modes of a sleep mode and an operating mode.
In the suction hose pipe body debouncing mechanism: in the sleep mode, the power consumption of the component conversion device, the row analysis device, the column analysis device, and the area recognition device is lower than that in the operation mode.
In the suction hose pipe body debouncing mechanism: the repeatability filtering equipment comprises an object analysis component, wherein the object analysis component is used for receiving an image above the top cover, determining whether each pixel belongs to an edge pixel based on whether the gray value of each pixel in the image above the top cover changes suddenly, performing geometric fitting on each edge pixel to determine the number of objects in the image above the top cover, determining the repeatability of each object in the image above the top cover, and determining the target repeatability corresponding to the image above the top cover based on the repeatability of each object in the image above the top cover.
In the suction hose pipe body debouncing mechanism: the repeatability filtering device comprises a field processing assembly which is connected with the object analysis assembly and used for executing wavelet filtering processing with corresponding dimension on the image above the top cover based on the received target repeatability to obtain and output a wavelet filtering image when the received target repeatability is not over-limit, and executing Gaussian filtering processing with corresponding strength on the wavelet filtering image based on the received target repeatability to obtain and output a repeatability filtering image, wherein the higher the target repeatability is, the less the corresponding dimension of the executed wavelet filtering processing is, and the smaller the corresponding strength of the executed Gaussian filtering processing is.
In the suction hose pipe body debouncing mechanism: and the field processing assembly is also used for executing Gaussian filtering processing with preset intensity on the image above the top cover when the received target repetition degree exceeds the limit so as to obtain and output a repetition degree filtering image.
In the suction hose body debounce mechanism, still include:
and the FPM DRAM chip is connected with the field processing assembly and used for receiving the repeatability filtering image and storing the repeatability filtering image.
In the suction hose pipe body debouncing mechanism: the object analysis component is connected with the field processing component through an 8-bit parallel communication interface, a 16-bit parallel communication interface or a 32-bit parallel communication interface;
wherein the object analysis component and the field processing component use the same quartz oscillation component for obtaining a synchronized reference clock signal.
In addition, FPM DRAM (Fast Page Mode RAM): fast page mode memory. Is a memory that was commonly used during time 486 (also used as video memory). 72 lines, 5V voltage, 32bit bandwidth and basic speed of more than 60 ns. His read cycle begins with the triggering of a row in the DRAM array and then moves to the location indicated by the memory address, i.e., contains the desired data. The first message must be validated and stored to the system in preparation for the next cycle. This introduces a "wait state" because the CPU must wait for the memory to complete one cycle foolproof. One important reason for the widespread use of FPM is that it is a standard and safe product and is inexpensive. But the defect of the performance of the memory causes the memory to be replaced by EDODRAM soon, and the video card with the video memory is not existed.
By adopting the shake removal mechanism for the suction hose body, aiming at the technical problem that the suction hose in the prior art is lack of a shake removal mode which can adapt to a field user, the shake removal strength of the corresponding suction hose body is determined by detecting the face fatigue level of a dust collector user, so that the intelligent level of the shake removal mechanism of the dust collector is improved; meanwhile, in the specific detection of the facial fatigue level, a maximum area enclosed by a plurality of effective lines and a plurality of effective columns in the image is output as an effective area, so that the effective area is adopted to replace the whole image for subsequent image processing; thereby solving the technical problem.
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 suction hose body debounce mechanism, the mechanism comprising:
the dust remover comprises a dust remover main body, a dust removing device and a dust removing device, wherein the dust remover main body comprises a funnel barrel, a cyclone intermediate plate, a middle barrel, a dust cleaning rod, a fine dust filter, a top cover and a suction hose, one end of the suction hose is used as a dust removing opening, the other end of the suction hose is connected with the top cover, the fine dust filter is arranged below the top cover, the dust cleaning rod is inserted into the barrel body of the middle barrel, the cyclone intermediate plate is arranged between the middle barrel and the funnel barrel, and the funnel barrel is used for containing dust;
the real-time debouncing device is connected with the suction hose and is used for realizing debouncing processing of the tube body of the suction hose based on the received real-time fatigue level, and the higher the received real-time fatigue level is, the higher the intensity of the debouncing processing of the tube body of the suction hose is;
the CCD sensing equipment is arranged above the top cover of the dust remover main body and used for sensing image data of a scene where the dust remover main body is located so as to obtain a corresponding image above the top cover and output the image above the top cover;
the repeatability filtering equipment is connected with the CCD sensing equipment and used for executing corresponding filtering processing on the image above the top cover based on the content repeatability of the image above the top cover so as to obtain and output an repeatability filtering image;
the component conversion equipment is connected with the repeatability filtering equipment and is used for carrying out color component conversion on the repeatability filtering image so as to obtain red and green components, black and white components and yellow and blue components of each pixel point in the repeatability filtering image;
the line analysis equipment is connected with the component conversion equipment and used for calculating the red-green component standard deviation of each line of pixel points based on the red-green components of all the pixel points in the repetition degree filtering image and taking the line of which the red-green component standard deviation is more than or equal to the line standard deviation threshold value as an effective line;
the column analysis equipment is connected with the component conversion equipment and used for calculating the red-green component standard deviation of each column of pixel points based on the red-green components of all the pixel points in the repetition degree filtering image and taking the column with the red-green component standard deviation being more than or equal to the column standard deviation threshold value as an effective column;
the area identification device is respectively connected with the line analysis device and the column analysis device and is used for receiving a plurality of effective lines and a plurality of effective columns and outputting a maximum area formed by the effective lines and the effective columns in the repetition degree filtering image as an effective area;
the field sharpening device is connected with the area identification device and is used for receiving the effective area, analyzing the current sharpening degree of the effective area, and performing corresponding instant sharpening processing on the effective area based on the current sharpening degree to obtain and output a field sharpening area;
the data filtering device is connected with the field sharpening device and is used for executing wiener filtering on the field sharpening region to obtain and output a wiener filtering region;
and the fatigue grade identification device is respectively connected with the real-time trembling removal device and the data filtering device and is used for identifying a human face sub-region from the wiener filtering region, and analyzing a fatigue grade corresponding to the human face sub-region based on facial image characteristics to output the fatigue grade as a real-time fatigue grade.
2. The suction hose body debounce mechanism of claim 1, further comprising:
and the power supply device is respectively connected with the component conversion device, the row analysis device, the column analysis device and the area identification device and is used for supplying power to the component conversion device, the row analysis device, the column analysis device and the area identification device.
3. The suction hose body debounce mechanism as recited in claim 2, further comprising:
the row analysis device and the column analysis device are parallel processing devices, and the row standard deviation threshold is not equal to the column standard deviation threshold.
4. A suction hose body debounce mechanism as recited in claim 3, further comprising:
the component converting device, the row analyzing device, the column analyzing device, and the area identifying device are all provided with two modes of a sleep mode and an operating mode.
5. The suction hose body debounce mechanism as recited in claim 4, further comprising:
in the sleep mode, the power consumption of the component conversion device, the row analysis device, the column analysis device, and the area recognition device is lower than that in the operation mode.
6. The suction hose body debounce mechanism as recited in claim 5, further comprising:
the repeatability filtering equipment comprises an object analysis component, wherein the object analysis component is used for receiving an image above the top cover, determining whether each pixel belongs to an edge pixel based on whether the gray value of each pixel in the image above the top cover changes suddenly, performing geometric fitting on each edge pixel to determine the number of objects in the image above the top cover, determining the repeatability of each object in the image above the top cover, and determining the target repeatability corresponding to the image above the top cover based on the repeatability of each object in the image above the top cover.
7. The suction hose body debounce mechanism as recited in claim 6, further comprising:
the repeatability filtering device comprises a field processing assembly which is connected with the object analysis assembly and used for executing wavelet filtering processing with corresponding dimension on the image above the top cover based on the received target repeatability to obtain and output a wavelet filtering image when the received target repeatability is not over-limit, and executing Gaussian filtering processing with corresponding strength on the wavelet filtering image based on the received target repeatability to obtain and output a repeatability filtering image, wherein the higher the target repeatability is, the less the corresponding dimension of the executed wavelet filtering processing is, and the smaller the corresponding strength of the executed Gaussian filtering processing is.
8. The suction hose body debounce mechanism as recited in claim 7, further comprising:
and the field processing assembly is also used for executing Gaussian filtering processing with preset intensity on the image above the top cover when the received target repetition degree exceeds the limit so as to obtain and output a repetition degree filtering image.
9. The suction hose body debounce mechanism of claim 8, further comprising:
and the FPM DRAM chip is connected with the field processing assembly and used for receiving the repeatability filtering image and storing the repeatability filtering image.
10. The suction hose body debounce mechanism of claim 9, wherein:
the object analysis component is connected with the field processing component through an 8-bit parallel communication interface, a 16-bit parallel communication interface or a 32-bit parallel communication interface;
wherein the object analysis component and the field processing component use the same quartz oscillation component for obtaining a synchronized reference clock signal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811395790.2A CN111203055A (en) | 2018-11-22 | 2018-11-22 | Suction hose body shake removing mechanism |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811395790.2A CN111203055A (en) | 2018-11-22 | 2018-11-22 | Suction hose body shake removing mechanism |
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| CN108665662A (en) * | 2018-05-23 | 2018-10-16 | 吴秋琴 | Multifunctional monitoring formula desk |
| CN108769594A (en) * | 2018-06-05 | 2018-11-06 | 北京智行者科技有限公司 | A kind of data monitoring method |
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| JP2001036694A (en) * | 1999-07-22 | 2001-02-09 | Toshiba Tec Corp | Picture reader |
| JP2005305014A (en) * | 2004-04-26 | 2005-11-04 | Hitachi Home & Life Solutions Inc | Vacuum cleaner |
| US20120169465A1 (en) * | 2010-12-31 | 2012-07-05 | Altek Corporation | Vehicle Apparatus Control System and Method Thereof |
| CN204332008U (en) * | 2015-01-15 | 2015-05-13 | 无锡北斗星通信息科技有限公司 | Boats and ships operator on duty condition detecting system |
| CN105205779A (en) * | 2015-09-15 | 2015-12-30 | 厦门美图之家科技有限公司 | Eye image processing method and system based on image morphing and shooting terminal |
| CN108665662A (en) * | 2018-05-23 | 2018-10-16 | 吴秋琴 | Multifunctional monitoring formula desk |
| CN108769594A (en) * | 2018-06-05 | 2018-11-06 | 北京智行者科技有限公司 | A kind of data monitoring method |
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