CN109011654B - Stage property walking identification mechanism - Google Patents
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- CN109011654B CN109011654B CN201811033169.1A CN201811033169A CN109011654B CN 109011654 B CN109011654 B CN 109011654B CN 201811033169 A CN201811033169 A CN 201811033169A CN 109011654 B CN109011654 B CN 109011654B
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63J—DEVICES FOR THEATRES, CIRCUSES, OR THE LIKE; CONJURING APPLIANCES OR THE LIKE
- A63J1/00—Stage arrangements
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63J—DEVICES FOR THEATRES, CIRCUSES, OR THE LIKE; CONJURING APPLIANCES OR THE LIKE
- A63J5/00—Auxiliaries for producing special effects on stages, or in circuses or arenas
- A63J5/02—Arrangements for making stage effects; Auxiliary stage appliances
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Abstract
The invention relates to a stage prop walking identification mechanism, comprising: the electric vehicle platform comprises a driving wheel body, a vehicle body, a weight measuring instrument and an alarm indicator light, wherein the weight measuring instrument is arranged below the vehicle body and used for measuring the real-time load of the vehicle body, and the alarm indicator light is connected with the weight measuring instrument and used for sending a red light with preset frequency to give a load alarm when the real-time load exceeds the limit; the scene capturing device is arranged above the auditorium opposite to the stage and used for shooting facing the stage so as to obtain a corresponding scene stage image; and the first extraction equipment is connected with the field capture equipment and used for receiving the field stage image, carrying out an average value operation on the gray values of all pixel points of the field stage image so as to obtain a first gray average value and outputting the first gray average value. By the method and the device, the stage property transportation point capable of improving the property transportation efficiency is obtained.
Description
Technical Field
The invention relates to the field of stage planning, in particular to a stage prop walking identification mechanism.
Background
The stage is a space provided for the performer to perform, and allows the audience to concentrate on the performer's performance and obtain a desired viewing effect. The stage is usually composed of one or more platforms, some of which can be raised and lowered. One of the main components of a theatre building. Refers to a performance venue in front of an auditorium. The main stage of the ancient outdoor theater is extended into the auditorium or is lower than the auditorium (such as the stage of the ancient Greek fan theater).
Disclosure of Invention
In order to solve the technical problem of poor transportation efficiency caused by random setting of current stage property transportation points, the invention provides a stage property walking recognition mechanism, wherein in the targeted image analysis, the centroid of a stage pattern is determined based on the shape of the stage pattern, the corresponding stage property transportation point is determined based on the position of the stage pattern of the centroid, and a movement control signal for driving a corresponding electric vehicle platform is determined based on the stage property transportation point so as to drive the electric vehicle platform to rush to the stage property transportation point; the image is enhanced by adopting the self-adaptive enhancement equipment, so that the self-adaptive level of image processing is improved; based on the detection of brightness and the noise analysis of block data, the image to be recognized with the background stripped is obtained, and the accuracy of subsequent image recognition operation is improved; and determining whether the field capturing device has an offset condition or not based on the comparison result of the image content captured by the field capturing device and the image content with different preset backgrounds, and displaying the corresponding offset condition on the field to remind related personnel and departments.
According to an aspect of the present invention, there is provided a stage prop walking identification mechanism, the mechanism comprising:
the electric vehicle platform comprises a driving wheel body, a vehicle body, a weight measuring instrument and an alarm indicator light, wherein the weight measuring instrument is arranged below the vehicle body and used for measuring the real-time load of the vehicle body, and the alarm indicator light is connected with the weight measuring instrument and used for sending a red light with preset frequency to give a load alarm when the real-time load exceeds the limit;
the scene capturing device is arranged above the auditorium opposite to the stage and used for shooting facing the stage so as to obtain a corresponding scene stage image;
the first extraction equipment is connected with the field capture equipment and used for receiving the field stage image, carrying out an average value operation on the gray values of all pixel points of the field stage image to obtain a first gray average value and outputting the first gray average value;
the second extraction device is used for carrying out the average value operation on the gray values of all the pixel points of the first reference image so as to obtain a second gray average value and outputting the second gray average value, carrying out an averaging operation on the gray values of all the pixel points of the second reference image to obtain a third gray average value and outputting the third gray average value, carrying out an averaging operation on the gray values of all the pixel points of the third reference image to obtain a fourth gray average value and outputting the fourth gray average value, wherein the first reference image is an image of a non-moving object photographed by the field capture device in advance in a set photographing direction, the second reference image is an image of a non-moving object photographed by the field capture device after being deviated to the left side in a set photographing direction in advance, the third reference image is an image without a moving target, which is shot by the field capture equipment after deviating from the right side according to a set shooting direction in advance;
the first processing device is respectively connected with the first extraction device and the second extraction device, and is used for receiving the first gray mean value, the second gray mean value, the third gray mean value and the fourth gray mean value, calculating a difference value between the first gray mean value and the second gray mean value, sending a direction change signal when the difference value exceeds a limit, respectively matching the first gray mean value with the third gray mean value and the fourth gray mean value, and sending a left-direction shift signal when the matching degree with the third gray mean value is greater than that with the fourth gray mean value;
the first display device is arranged on one side of the field capturing device, is connected with the first processing device and is used for displaying highlighted character warning information corresponding to the leftward deviation signal on the field when the leftward deviation signal is received;
the deviation degree identification device is connected with the field capturing device and used for receiving the field stage image, acquiring each brightness value of each pixel point of the field stage image, performing standard deviation calculation on each brightness value, taking the obtained numerical value of the standard deviation as reference data, performing uniform segmentation on the field stage image based on the reference data to obtain a plurality of segmentation blocks, detecting three noise types with the first three amplitude values in the segmentation blocks aiming at each segmentation block, determining the signal-to-noise ratio of the segmentation block based on the amplitude values respectively corresponding to the three noise types, and determining the threshold size for performing background segmentation on the segmentation block based on the signal-to-noise ratio of the segmentation block;
the background stripping device is connected with the deviation degree identification device and is used for executing background segmentation processing on each segmentation block on the basis of a determined threshold value so as to obtain a corresponding block to be identified, fitting each block to be identified of each segmentation block so as to obtain an image to be identified and outputting the image to be identified;
the median filtering device is connected with the background stripping device and is used for receiving the image to be identified, executing median filtering processing on the image to be identified so as to obtain a corresponding filtered image and outputting the filtered image;
the self-adaptive enhancement device is connected with the median filtering device and used for receiving the filtered image, analyzing the image signal-to-noise ratio of the filtered image to obtain the image signal-to-noise ratio corresponding to the filtered image, outputting the image signal-to-noise ratio, determining the strength of performing enhancement processing on the filtered image according to the image signal-to-noise ratio, and outputting the self-adaptive enhancement image obtained after performing enhancement processing on the filtered image;
the stage analysis equipment is connected with the adaptive enhancement equipment and used for receiving the adaptive enhancement image, carrying out stage appearance detection on the adaptive enhancement image to obtain a corresponding stage pattern, and determining a movement control signal sent to the electric vehicle platform based on the shape of the stage pattern, wherein the movement control signal is used for driving the electric vehicle platform to reach a preset stage equipment transportation point;
wherein, in the stage analysis apparatus, determining the movement control signal transmitted to the electric vehicle stage based on the shape of the stage pattern includes: determining a centroid of the stage pattern based on a shape of the stage pattern, determining a corresponding movement control signal based on a position of the centroid at the stage pattern.
More specifically, in the stage prop travel recognition mechanism: the larger the reference data is, the larger the number of divided blocks obtained by uniformly dividing the live stage image is.
More specifically, in the stage prop travel recognition mechanism: the deviation degree identification device and the background peeling device are realized by adopting different SOC chips.
More specifically, in the stage prop travel recognition mechanism: the background stripping device is realized by adopting a DSP processing chip, and the DSP processing chip also comprises a built-in storage unit which is respectively connected with the deviation degree identification device and the background stripping device so as to store each threshold value of each block determined by the deviation degree identification device.
More specifically, in the stage prop travel recognition mechanism: in the adaptive enhancement apparatus, the smaller the image signal-to-noise ratio, the greater the strength of performing enhancement processing.
More specifically, in the stage prop travel recognition mechanism: and the alarm indicator lamp is also used for stopping the load alarm of the red lamp with the preset frequency when the real-time load is not exceeded.
More specifically, in the stage prop travel recognition mechanism: in the first processing device, when the matching degree with the third gray average value is less than or equal to the matching degree with the fourth gray average value, a right-direction offset signal is sent out.
More specifically, in the stage prop travel recognition mechanism: and the first display equipment is also used for displaying highlighted character warning information corresponding to the right deviation signal on site when the right deviation signal is received.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a simulation diagram of a stage environment where a stage prop walking identification mechanism is located according to an embodiment of the present invention.
Detailed Description
Embodiments of the stage prop travel recognition mechanism of the present invention will be described in detail below with reference to the accompanying drawings.
The stage is designed by taking stage equipment, light, a cloth curtain, sound, a performance prop, a suspension and replacement support system, costumes and costumes as target objects. Similar to the exhibition design, the targets are 'paring angles' and are used as leading angles by 'performance activities'. In addition, the stage design also has the characteristic of the time direction of plot coordination. The stage design can be classified into open air stage, flowing stage and indoor stage, and the development of stage design is different between western and China.
In the west, the stage design in the renaming period of the literature and art has a great technical breakthrough, which comprises the following steps: the side curtain system with picture frame stage, perspective setting, false perspective and fast (rotary) replacement, etc. not only makes the stage design with drama and opera as the core become the main work content of the western stage design, but also makes the stage design rapidly spread the whole western world from italy by means of the literary and artistic revival exercise. Regarding the content processed by stage design, the system mainly comprises an auditorium, a stage and a background, wherein the auditorium comprises an auditorium, a sound environment, a visual angle and a visual field, an entrance and exit path and a physical environment; the stage comprises lighting, a cloth curtain, a sound, a performance prop, a suspension and replacement support system, costumes and the like; the background comprises makeup changing, a martial arts (band), a passage way, basic prop display, a space for preparing to go out, and the like. The capabilities required for stage design include: knowledge of performance activities (or theatrical performances), stage painting, stage property production (art), stage lighting, knowledge of the evolution of property and clothing style, knowledge of music and music, knowledge of sound control, and the like.
In order to overcome the defects, the invention builds a stage prop walking identification mechanism, and can solve the corresponding technical scheme.
Fig. 1 is a simulation diagram of a stage environment where a stage prop walking identification mechanism is located according to an embodiment of the present invention. Wherein, 1 is stage auditorium, 2 is stage peripheral structure.
The stage prop walking identification mechanism shown according to the embodiment of the invention comprises:
the electric vehicle platform comprises a driving wheel body, a vehicle body, a weight measuring instrument and an alarm indicator light, wherein the weight measuring instrument is arranged below the vehicle body and used for measuring the real-time load of the vehicle body, and the alarm indicator light is connected with the weight measuring instrument and used for sending a red light with preset frequency to give a load alarm when the real-time load exceeds the limit;
the scene capturing device is arranged above the auditorium opposite to the stage and used for shooting facing the stage so as to obtain a corresponding scene stage image;
the first extraction equipment is connected with the field capture equipment and used for receiving the field stage image, carrying out an average value operation on the gray values of all pixel points of the field stage image to obtain a first gray average value and outputting the first gray average value;
the second extraction device is used for carrying out the average value operation on the gray values of all the pixel points of the first reference image so as to obtain a second gray average value and outputting the second gray average value, carrying out an averaging operation on the gray values of all the pixel points of the second reference image to obtain a third gray average value and outputting the third gray average value, carrying out an averaging operation on the gray values of all the pixel points of the third reference image to obtain a fourth gray average value and outputting the fourth gray average value, wherein the first reference image is an image of a non-moving object photographed by the field capture device in advance in a set photographing direction, the second reference image is an image of a non-moving object photographed by the field capture device after being deviated to the left side in a set photographing direction in advance, the third reference image is an image without a moving target, which is shot by the field capture equipment after deviating from the right side according to a set shooting direction in advance;
the first processing device is respectively connected with the first extraction device and the second extraction device, and is used for receiving the first gray mean value, the second gray mean value, the third gray mean value and the fourth gray mean value, calculating a difference value between the first gray mean value and the second gray mean value, sending a direction change signal when the difference value exceeds a limit, respectively matching the first gray mean value with the third gray mean value and the fourth gray mean value, and sending a left-direction shift signal when the matching degree with the third gray mean value is greater than that with the fourth gray mean value;
the first display device is arranged on one side of the field capturing device, is connected with the first processing device and is used for displaying highlighted character warning information corresponding to the leftward deviation signal on the field when the leftward deviation signal is received;
the deviation degree identification device is connected with the field capturing device and used for receiving the field stage image, acquiring each brightness value of each pixel point of the field stage image, performing standard deviation calculation on each brightness value, taking the obtained numerical value of the standard deviation as reference data, performing uniform segmentation on the field stage image based on the reference data to obtain a plurality of segmentation blocks, detecting three noise types with the first three amplitude values in the segmentation blocks aiming at each segmentation block, determining the signal-to-noise ratio of the segmentation block based on the amplitude values respectively corresponding to the three noise types, and determining the threshold size for performing background segmentation on the segmentation block based on the signal-to-noise ratio of the segmentation block;
the background stripping device is connected with the deviation degree identification device and is used for executing background segmentation processing on each segmentation block on the basis of a determined threshold value so as to obtain a corresponding block to be identified, fitting each block to be identified of each segmentation block so as to obtain an image to be identified and outputting the image to be identified;
the median filtering device is connected with the background stripping device and is used for receiving the image to be identified, executing median filtering processing on the image to be identified so as to obtain a corresponding filtered image and outputting the filtered image;
the self-adaptive enhancement device is connected with the median filtering device and used for receiving the filtered image, analyzing the image signal-to-noise ratio of the filtered image to obtain the image signal-to-noise ratio corresponding to the filtered image, outputting the image signal-to-noise ratio, determining the strength of performing enhancement processing on the filtered image according to the image signal-to-noise ratio, and outputting the self-adaptive enhancement image obtained after performing enhancement processing on the filtered image;
the stage analysis equipment is connected with the adaptive enhancement equipment and used for receiving the adaptive enhancement image, carrying out stage appearance detection on the adaptive enhancement image to obtain a corresponding stage pattern, and determining a movement control signal sent to the electric vehicle platform based on the shape of the stage pattern, wherein the movement control signal is used for driving the electric vehicle platform to reach a preset stage equipment transportation point;
wherein, in the stage analysis apparatus, determining the movement control signal transmitted to the electric vehicle stage based on the shape of the stage pattern includes: determining a centroid of the stage pattern based on a shape of the stage pattern, determining a corresponding movement control signal based on a position of the centroid at the stage pattern.
Next, a specific structure of the stage item travel recognition mechanism according to the present invention will be further described.
In the stage property walking identification mechanism: the larger the reference data is, the larger the number of divided blocks obtained by uniformly dividing the live stage image is.
In the stage property walking identification mechanism: the deviation degree identification device and the background peeling device are realized by adopting different SOC chips.
In the stage property walking identification mechanism: the background stripping device is realized by adopting a DSP processing chip, and the DSP processing chip also comprises a built-in storage unit which is respectively connected with the deviation degree identification device and the background stripping device so as to store each threshold value of each block determined by the deviation degree identification device.
In the stage property walking identification mechanism: in the adaptive enhancement apparatus, the smaller the image signal-to-noise ratio, the greater the strength of performing enhancement processing.
In the stage property walking identification mechanism: and the alarm indicator lamp is also used for stopping the load alarm of the red lamp with the preset frequency when the real-time load is not exceeded.
In the stage property walking identification mechanism: in the first processing device, when the matching degree with the third gray average value is less than or equal to the matching degree with the fourth gray average value, a right-direction offset signal is sent out.
And in the stage property walking identification mechanism: and the first display equipment is also used for displaying highlighted character warning information corresponding to the right deviation signal on site when the right deviation signal is received.
In addition, the System on Chip is called SOC for short, i.e. System on Chip. From a narrow sense, the system is the chip integration of the core of an information system, and key components of the system are integrated on one chip; in a broad sense, an SOC is a micro-miniature system, and if a Central Processing Unit (CPU) is the brain, the SOC is a system including the brain, heart, eyes, and hands. The academia at home and abroad generally tends to define the SOC as integrating a microprocessor, an analog IP core, a digital IP core and a memory (or off-chip memory control interface) on a single chip, which is usually custom-made or standard product oriented to a specific application.
The basic content of the SOC definition is mainly two-fold: one is his composition and the other is his forming process. The system-level chip can be composed of a system-level chip control logic module, a microprocessor/microcontroller CPU core module, a digital signal processor DSP module, an embedded memory module, an interface module for communicating with the outside, an analog front-end module containing ADC/DAC, a power supply and power consumption management module, a radio frequency front-end module, user defined logic (which can be realized by FPGA or ASIC) and a micro-electro-mechanical module for a wireless SOC, and more importantly, a SOC chip is embedded with a basic software (RDOS or COS and other application software) module or loadable user software and the like.
By adopting the stage property walking identification mechanism, aiming at the technical problem that the efficient stage property transportation point is difficult to analyze in the prior art, in the targeted image analysis, the centroid of the stage pattern is determined based on the shape of the stage pattern, the corresponding stage property transportation point is determined based on the position of the centroid at the stage pattern, and the movement control signal for driving the corresponding electric vehicle platform is determined based on the stage property transportation point so as to drive the electric vehicle platform to reach the stage property transportation point; the image is enhanced by adopting the self-adaptive enhancement equipment, so that the self-adaptive level of image processing is improved; based on the detection of brightness and the noise analysis of block data, the image to be recognized with the background stripped is obtained, and the accuracy of subsequent image recognition operation is improved; whether the on-site capturing device has the deviation condition is determined based on the comparison result of the image content captured by the on-site capturing device and the preset image content with different backgrounds, and the corresponding deviation condition is displayed on site to remind related personnel and departments, so that the technical problem is solved.
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 (8)
1. A stage property travel identification mechanism, the mechanism comprising:
the electric vehicle platform comprises a driving wheel body, a vehicle body, a weight measuring instrument and an alarm indicator light, wherein the weight measuring instrument is arranged below the vehicle body and used for measuring the real-time load of the vehicle body, and the alarm indicator light is connected with the weight measuring instrument and used for sending a red light with preset frequency to give a load alarm when the real-time load exceeds the limit;
the scene capturing device is arranged above the auditorium opposite to the stage and used for shooting facing the stage so as to obtain a corresponding scene stage image;
the first extraction equipment is connected with the field capture equipment and used for receiving the field stage image, carrying out an average value operation on the gray values of all pixel points of the field stage image to obtain a first gray average value and outputting the first gray average value;
the second extraction device is used for carrying out the average value operation on the gray values of all the pixel points of the first reference image so as to obtain a second gray average value and outputting the second gray average value, carrying out an averaging operation on the gray values of all the pixel points of the second reference image to obtain a third gray average value and outputting the third gray average value, carrying out an averaging operation on the gray values of all the pixel points of the third reference image to obtain a fourth gray average value and outputting the fourth gray average value, wherein the first reference image is an image of a non-moving object photographed by the field capture device in advance in a set photographing direction, the second reference image is an image of a non-moving object photographed by the field capture device after being deviated to the left side in a set photographing direction in advance, the third reference image is an image without a moving target, which is shot by the field capture equipment after deviating from the right side according to a set shooting direction in advance;
the first processing device is respectively connected with the first extraction device and the second extraction device, and is used for receiving the first gray mean value, the second gray mean value, the third gray mean value and the fourth gray mean value, calculating a difference value between the first gray mean value and the second gray mean value, sending a direction change signal when the difference value exceeds a limit, respectively matching the first gray mean value with the third gray mean value and the fourth gray mean value, and sending a left-direction shift signal when the matching degree with the third gray mean value is greater than that with the fourth gray mean value;
the first display device is arranged on one side of the field capturing device, is connected with the first processing device and is used for displaying highlighted character warning information corresponding to the leftward deviation signal on the field when the leftward deviation signal is received;
the deviation degree identification device is connected with the field capturing device and used for receiving the field stage image, acquiring each brightness value of each pixel point of the field stage image, performing standard deviation calculation on each brightness value, taking the obtained numerical value of the standard deviation as reference data, performing uniform segmentation on the field stage image based on the reference data to obtain a plurality of segmentation blocks, detecting three noise types with the first three amplitude values in the segmentation blocks aiming at each segmentation block, determining the signal-to-noise ratio of the segmentation block based on the amplitude values respectively corresponding to the three noise types, and determining the threshold size for performing background segmentation on the segmentation block based on the signal-to-noise ratio of the segmentation block;
the background stripping device is connected with the deviation degree identification device and is used for executing background segmentation processing on each segmentation block on the basis of a determined threshold value so as to obtain a corresponding block to be identified, fitting each block to be identified of each segmentation block so as to obtain an image to be identified and outputting the image to be identified;
the median filtering device is connected with the background stripping device and is used for receiving the image to be identified, executing median filtering processing on the image to be identified so as to obtain a corresponding filtered image and outputting the filtered image;
the self-adaptive enhancement device is connected with the median filtering device and used for receiving the filtered image, analyzing the image signal-to-noise ratio of the filtered image to obtain the image signal-to-noise ratio corresponding to the filtered image, outputting the image signal-to-noise ratio, determining the strength of performing enhancement processing on the filtered image according to the image signal-to-noise ratio, and outputting the self-adaptive enhancement image obtained after performing enhancement processing on the filtered image;
the stage analysis equipment is connected with the adaptive enhancement equipment and used for receiving the adaptive enhancement image, carrying out stage appearance detection on the adaptive enhancement image to obtain a corresponding stage pattern, and determining a movement control signal sent to the electric vehicle platform based on the shape of the stage pattern, wherein the movement control signal is used for driving the electric vehicle platform to reach a preset stage equipment transportation point;
wherein, in the stage analysis apparatus, determining the movement control signal transmitted to the electric vehicle stage based on the shape of the stage pattern includes: determining a centroid of the stage pattern based on a shape of the stage pattern, determining a corresponding movement control signal based on a position of the centroid at the stage pattern.
2. The stage prop walking identification mechanism of claim 1, wherein:
the larger the reference data is, the larger the number of divided blocks obtained by uniformly dividing the live stage image is.
3. The stage prop walking identification mechanism of claim 2, wherein:
the deviation degree identification device and the background peeling device are realized by adopting different SOC chips.
4. The stage prop walking identification mechanism of claim 3, wherein:
the background stripping device is realized by adopting a DSP processing chip, and the DSP processing chip also comprises a built-in storage unit which is respectively connected with the deviation degree identification device and the background stripping device so as to store each threshold value of each block determined by the deviation degree identification device.
5. The stage prop walking identification mechanism of claim 4, wherein:
in the adaptive enhancement apparatus, the smaller the image signal-to-noise ratio, the greater the strength of performing enhancement processing.
6. The stage prop walking identification mechanism of claim 5, wherein:
and the alarm indicator lamp is also used for stopping the load alarm of the red lamp with the preset frequency when the real-time load is not exceeded.
7. The stage prop walking identification mechanism of claim 6, wherein:
in the first processing device, when the matching degree with the third gray average value is less than or equal to the matching degree with the fourth gray average value, a right-direction offset signal is sent out.
8. The stage prop walking identification mechanism of claim 7, wherein:
and the first display equipment is also used for displaying highlighted character warning information corresponding to the right deviation signal on site when the right deviation signal is received.
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| CN111667699B (en) * | 2019-04-25 | 2020-12-18 | 赣州金宁保安服务有限公司 | Smart city real-time management and control method |
| CN110925670A (en) * | 2019-11-07 | 2020-03-27 | 毛军光 | Office lighting lamp |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1176636A (en) * | 1997-09-11 | 1999-03-23 | Hitachi Zosen Corp | Slide wagon |
| CN101334263A (en) * | 2008-07-22 | 2008-12-31 | 东南大学 | Circular target circular center positioning method |
| CN106345130A (en) * | 2016-08-29 | 2017-01-25 | 浙江大丰实业股份有限公司 | Wagon stage moving structure |
| CN106362421A (en) * | 2016-08-29 | 2017-02-01 | 浙江大丰实业股份有限公司 | Adjustable movable trolley table |
| CN107392905A (en) * | 2017-08-08 | 2017-11-24 | 卜风雷 | Real-time pattern identifying system |
| CN108280838A (en) * | 2018-01-31 | 2018-07-13 | 桂林电子科技大学 | A kind of intermediate plate tooth form defect inspection method based on edge detection |
-
2018
- 2018-09-05 CN CN201811033169.1A patent/CN109011654B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1176636A (en) * | 1997-09-11 | 1999-03-23 | Hitachi Zosen Corp | Slide wagon |
| CN101334263A (en) * | 2008-07-22 | 2008-12-31 | 东南大学 | Circular target circular center positioning method |
| CN106345130A (en) * | 2016-08-29 | 2017-01-25 | 浙江大丰实业股份有限公司 | Wagon stage moving structure |
| CN106362421A (en) * | 2016-08-29 | 2017-02-01 | 浙江大丰实业股份有限公司 | Adjustable movable trolley table |
| CN107392905A (en) * | 2017-08-08 | 2017-11-24 | 卜风雷 | Real-time pattern identifying system |
| CN108280838A (en) * | 2018-01-31 | 2018-07-13 | 桂林电子科技大学 | A kind of intermediate plate tooth form defect inspection method based on edge detection |
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