CN115604444A - Projection big data self-adjusting system - Google Patents
Projection big data self-adjusting system Download PDFInfo
- Publication number
- CN115604444A CN115604444A CN202211198670.XA CN202211198670A CN115604444A CN 115604444 A CN115604444 A CN 115604444A CN 202211198670 A CN202211198670 A CN 202211198670A CN 115604444 A CN115604444 A CN 115604444A
- Authority
- CN
- China
- Prior art keywords
- projection
- human body
- final
- processed image
- area
- 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.)
- Pending
Links
- 230000007246 mechanism Effects 0.000 claims abstract description 104
- 230000000007 visual effect Effects 0.000 claims abstract description 21
- 238000012545 processing Methods 0.000 claims description 59
- 238000003384 imaging method Methods 0.000 claims description 31
- 238000004891 communication Methods 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 7
- 238000001914 filtration Methods 0.000 claims description 6
- 238000013461 design Methods 0.000 abstract description 2
- 238000000034 method Methods 0.000 description 9
- 230000008569 process Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000005286 illumination Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000004904 shortening Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/12—Picture reproducers
- H04N9/31—Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/12—Picture reproducers
- H04N9/31—Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
- H04N9/3141—Constructional details thereof
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/12—Picture reproducers
- H04N9/31—Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
- H04N9/3179—Video signal processing therefor
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Image Analysis (AREA)
Abstract
The invention relates to a projection big data self-adjusting system, comprising: the on-site projection mechanism is used for executing projection operation on the front wall body in a starting state; the human body identification device is used for identifying the total number of human body objects occupying pixel points in the final-stage processed image, wherein the number of the pixel points exceeds a set number threshold; and the area adjusting mechanism is used for determining the numerical value of the current projection visual angle of the field projection mechanism based on the area proportion of the minimum image area, surrounded by the last-stage processed image, of each human body object occupying the number of the pixel points in the last-stage processed image and exceeding the set number threshold, to the last-stage processed image. The projection big data self-adjusting system is simple and convenient to operate and control and intelligent in design. Because the original manual operation mode is replaced by the electronic automatic control mode, the self-adaptive adjustment of the visual angle of the projector based on the distribution area of the audience is realized, and the flexibility and the controllability of the visual angle of the projector are fully utilized.
Description
Technical Field
The invention relates to the field of projector control, in particular to a projection big data self-adjusting system.
Background
A projector, also called a projector, is a device that can project images or videos onto a curtain, and can be connected with a computer, a VCD, a DVD, a BD, a game machine, a DV, etc. through different interfaces to play corresponding video signals. Projectors are widely applied to families, offices, schools and entertainment places, and different types such as CRT, LCD, DLP, 3LCD and the like exist according to different working modes.
With the improvement of projector projection technology and the inexpensiveness of projection apparatuses, more and more home-type projectors are moved into homes. Generally, household projectors are characterized by brightness of about 2000 lumens, and the aspect ratio of a projected picture is mostly 16:9, various video ports are complete, and the device is suitable for playing movies and high-definition televisions and is suitable for home users.
Light sources used for projectors include conventional high-intensity gas discharge light sources and novel solid-state light sources typified by LED light sources and laser light sources. The traditional light source has high brightness and good color, but the projector usually makes the projected image become dark and yellow along with the attenuation of the emergent light of the light source after being used for a period of time, such as brightness attenuation, color saturation and contrast reduction, and the like, so that the bulb needs to be maintained and replaced regularly. Due to the development of semiconductor illumination technology and laser technology, LED light sources and laser light sources have been rapidly developed in the illumination field and widely used in the display field. The LED is the product which is widely used for flat-price household projectors in the novel light source at the earliest early stage, and because the LED can enable the imaging structure of the projector to be simpler, the projector product which is smaller in size, easy to carry and simple to use brings great convenience to teaching, business and personal entertainment. However, the LED has the disadvantages of not being very bright and having poor color. Meanwhile, the appearance and popularization of the laser as a perfect projection light source solve the defects of projectors using other light sources in the aspects of brightness attenuation, color, power consumption and the like, and meanwhile, the laser also belongs to a cold light source and has the characteristic of being bright when being opened, so that the phenomena that the conventional light source needs to be started and the light emitting is stable are fundamentally eliminated.
In the practical use of the household projector, as the projected object generally selects a white wall or a simplified large curtain to replace a professional curtain, the selection of the projection area and the projection visual field can be flexibly set, for example, when the area range occupied by the whole crowd existing in front of the wall or the curtain is narrow, an over-wide projection visual angle is not needed, the projection definition can be improved by shortening the projection area, and conversely, if the area range occupied by the whole crowd existing in front of the wall or the curtain is wide, the over-wide projection visual angle is needed to meet the watching requirement of each person. However, in the prior art, the adjustment of the projection area and the projection view field is completed based on manual operation, which results in a relatively long adjustment process of the projection area and affects viewing experience of users.
Disclosure of Invention
In order to solve the above defects, the invention provides a projection big data self-adjusting system, which can adopt an electronic detection mode to obtain the whole area range occupied by the audience, further adaptively select the projection viewing angle of the projector based on the width of the whole area range, and meet the viewing angle requirement of each audience as far as possible while ensuring the definition of a projection picture.
According to an aspect of the invention, a projection big data self-adjusting system is provided, the system comprises:
the state detection mechanism is arranged near the field projection mechanism, connected with the field projection mechanism and used for detecting whether the field projection mechanism is in a started state at present and further sending a first control command or a second control command;
the on-site projection mechanism is used for executing projection operation on the front wall body in a starting state and finishing the projection operation on the front wall body in a closing state;
the pinhole imaging mechanism is arranged in the center of a front wall body of the on-site projection mechanism, is connected with the state detection mechanism through a wireless communication link, and is used for finishing imaging operation on a front scene of the wall body when the first control command is wirelessly received so as to obtain a projection scene image;
the primary processing mechanism is buried in a control box in the wall body, is electrically connected with the pinhole imaging mechanism, and is used for executing image signal filtering processing of an edge-keeping smooth mode on the received projection scene image so as to obtain a primary processing image;
a secondary processing mechanism, connected to the primary processing mechanism, for performing directional filtering processing on the received primary processed image to obtain a secondary processed image;
a final-stage processing mechanism, connected to the secondary processing mechanism, for performing image signal processing of histogram equalization on the received secondary-processed image to obtain a final-stage processed image;
the human body identification device is connected with the final-stage processing mechanism and used for identifying the total number of human body objects occupying pixel points with the number exceeding a set number threshold value in the received final-stage processed image to be output as the current reference number of people;
and the area adjusting mechanism is respectively connected with the field projection mechanism and the human body identification device and is used for determining the numerical value of the current projection visual angle of the field projection mechanism based on the area proportion of the minimum image area, which is enclosed by each human body imaging area in the final-stage processed image, of each human body imaging area, formed in the final-stage processed image, of each human body object, of which the number of occupied pixels in the final-stage processed image exceeds a set number threshold value, in the final-stage processed image.
It can be seen that the present invention has at least the following three significant improvements:
firstly, determining the current projection area of the projection equipment according to the minimum visual area occupied by each effective human body in front of the projection wall surface of the projection equipment, wherein the larger the minimum visual area is, the larger the determined current projection area of the projection equipment is, so that the automatic matching of the number of people viewing the film and the projection area is realized;
secondly, determining whether the human body is an effective human body according to the number of pixel points occupied by the human body, thereby overcoming the interference of non-film watching personnel on the adjustment of the current projection area;
and thirdly, acquiring image data of the current projection environment by adopting a camera shooting mechanism based on wireless communication based on the working state of the projection equipment, thereby avoiding generating unnecessary visual data.
The projection big data self-adjusting system is simple and convenient to operate and intelligent in design. Because the electronic automatic control mode is adopted to replace the original manual operation mode to realize the self-adaptive adjustment of the visual angle of the projector based on the distribution area of the viewing people, the flexibility and the controllability of the visual angle of the projector are fully utilized, and the adjustment time of the projector is shortened.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is an internal structural view of a projection big data self-tuning system according to embodiment a of the present invention.
Fig. 2 is an internal structural view of the projection big data self-tuning system according to embodiment B of the present invention.
Fig. 3 is an internal structural view of the projection big data self-tuning system according to embodiment C of the present invention.
Detailed Description
An embodiment of the projection big data self-tuning system of the present invention will be described in detail below with reference to the accompanying drawings.
Example 1
Fig. 1 is an internal structural view of a projection big data self-tuning system according to embodiment a of the present invention, the system including:
the state detection mechanism is arranged near the field projection mechanism, connected with the field projection mechanism and used for detecting whether the field projection mechanism is in a started state at present and further sending a first control command or a second control command;
the on-site projection mechanism is used for executing projection operation on the front wall body in a starting state and finishing the projection operation on the front wall body in a closing state;
the pinhole imaging mechanism is arranged in the center of a front wall body of the on-site projection mechanism, is connected with the state detection mechanism through a wireless communication link, and is used for finishing imaging operation on a front scene of the wall body when the first control command is wirelessly received so as to obtain a projection scene image;
the primary processing mechanism is buried in a control box in the wall body, is electrically connected with the pinhole imaging mechanism, and is used for executing image signal filtering processing of an edge-keeping smooth mode on the received projection scene image so as to obtain a primary processing image;
a secondary processing mechanism, connected to the primary processing mechanism, for performing directional filtering processing on the received primary processed image to obtain a secondary processed image;
a final-stage processing mechanism, connected to the secondary processing mechanism, for performing image signal processing of histogram equalization on the received secondary-processed image to obtain a final-stage processed image;
the human body identification device is connected with the final-stage processing mechanism and used for identifying the total number of human body objects occupying pixel points with the number exceeding a set number threshold value in the received final-stage processed image to be output as the current reference number of people;
the area adjusting mechanism is respectively connected with the field projection mechanism and the human body identification device and is used for determining the numerical value of the current projection visual angle of the field projection mechanism based on the area proportion of the minimum image area, which is enclosed by each human body imaging area in the final-stage processed image, of each human body imaging area, formed in the final-stage processed image, of each human body object, of which the number of occupied pixel points in the final-stage processed image exceeds a set number threshold value, in the final-stage processed image;
for example, determining the value of the current projection viewing angle of the on-site projection mechanism based on the area ratio of the minimum image area enclosed in the final-processed image occupied by the minimum image area occupied by the final-processed image in the final-processed image, which is formed by the human body imaging area of each human body object occupying the number of pixels in the final-processed image and exceeding the set number threshold, in the final-processed image comprises:
when the area proportion of the minimum image area, surrounded by the final-stage processed image, of each human body imaging area, formed by each human body object occupying pixel points with the number exceeding a set number threshold value in the final-stage processed image, in the final-stage processed image is one sixth, the determined numerical value of the current projection visual angle of the on-site projection mechanism is 50 degrees;
when the area proportion of the minimum image area, surrounded by the final-stage processed image, of each human body imaging area formed by each human body object occupying pixel points with the number exceeding a set number threshold value in the final-stage processed image is one quarter, the determined numerical value of the current projection visual angle of the on-site projection mechanism is 80 degrees;
and when the area proportion of the minimum image area, which is surrounded by the final-stage processed image, occupied by the human body imaging area formed by the human body objects with the pixel number exceeding the set number threshold value in the final-stage processed image is one third, the determined value of the current projection visual angle of the field projection mechanism is 120 degrees.
Example 2
Fig. 2 is an internal structural view of the projection big data self-tuning system according to embodiment B of the present invention.
Unlike fig. 1, the projection big data self-tuning system in fig. 2 may further include:
a TF memory chip connected to the primary processing mechanism, the secondary processing mechanism, the final processing mechanism, and the human body identification device, respectively;
wherein the TF memory chip is configured to store input signals and/or output signals of the primary processing mechanism, the secondary processing mechanism, the final processing mechanism, and the human identification device, respectively;
in addition, it is also possible to employ an MMC memory chip instead of the TF memory chip for storing the input signal and/or the output signal of the primary processing means, the secondary processing means, the final processing means, and the human authentication device, respectively.
Example 3
Fig. 3 is an internal structural view of the projection big data self-tuning system according to embodiment C of the present invention.
Unlike fig. 1, the projection big data self-tuning system in fig. 3 may further include:
and the parallel communication mechanism is respectively connected with the primary processing mechanism, the secondary processing mechanism, the final processing mechanism and the human body identification device to provide parallel communication links between the primary processing mechanism, the secondary processing mechanism, the final processing mechanism and the human body identification device.
Next, a detailed description of the projection big data self-tuning system according to the present invention will be further described.
In a projection big data self-tuning system according to any embodiment of the present invention:
determining the value of the current projection visual angle of the on-site projection mechanism based on the area proportion of the minimum image area, surrounded by the final-stage processed image, occupied by the minimum image area in the final-stage processed image, of each human body imaging area, formed by each human body object occupying more than a set number threshold value in the final-stage processed image, of each human body imaging area in the final-stage processed image respectively comprises: the determined numerical value of the current projection visual angle of the on-site projection mechanism is monotonically and positively associated with the area ratio;
wherein the determined monotonic forward correlation of the numerical value of the current projection view angle of the on-site projection mechanism with the area ratio comprises: the smaller the numerical value of the area ratio is, the smaller the numerical value of the determined current projection angle of view of the on-site projection mechanism is.
In the projection big data self-adjusting system according to any embodiment of the invention:
the step of identifying the total number of human body objects occupying pixel points with the number exceeding a set number threshold in the received final-stage processed image to be output as the current reference number comprises the following steps: identifying the total number of human body objects occupying pixel points in the received final-stage processed image and exceeding a set number threshold value based on the standard human body contour so as to serve as the current reference number of people to output;
wherein, the step of identifying the total number of the human body objects occupying the pixels with the number exceeding the set number threshold in the received final-stage processed image to be output as the current reference number further comprises the following steps: taking each image area with the edge shape matched with the edge shape of a standard human body outline in the final-stage processed image as a human body imaging area with a human body object;
wherein, the step of identifying the total number of the human body objects occupying the pixels with the number exceeding the set number threshold in the received final-stage processed image to be output as the current reference number further comprises the following steps: and when the number of the pixels occupied by a certain human body imaging area exceeds a set number threshold, judging that the human body imaging area is an effective human body area, and outputting the total number of the effective human body areas in the final-stage processed image as the current reference number.
In a projection big data self-tuning system according to any embodiment of the present invention:
the step of identifying the total number of human body objects occupying pixel points in the received final-stage processed image and exceeding a set number threshold value based on the standard human body contour so as to serve as the current reference number of people comprises the following steps: the number of standard body contours is more than one.
In a projection big data self-tuning system according to any embodiment of the present invention:
detecting whether the field projection mechanism is currently in a started state, and then sending out a first control command or a second control command comprises: detecting that the field projection mechanism is currently in a started state, and sending a first control command;
wherein, whether detecting the on-site projection mechanism is currently in a started state, and then sending out a first control command or a second control command comprises: and detecting that the field projection mechanism is in a closed state at present, and sending a second control command.
In addition, in the projection big data self-adjusting system, identifying the total number of human body objects occupying the final-stage processed image and having the number of pixels exceeding a set number threshold value to output as the current reference number of people further comprises: and when the number of the pixel points occupied by a certain human body imaging area does not exceed the set number threshold, judging that the human body imaging area is an invalid human body area, wherein each invalid human body area in the final-stage processed image does not participate in the accumulation of the current reference number of people.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on differences from other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and reference may be made to the partial description of the method embodiment for relevant points.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (10)
1. A projection big data self-adjusting system, characterized in that the system comprises:
the state detection mechanism is arranged near the field projection mechanism, connected with the field projection mechanism and used for detecting whether the field projection mechanism is in a started state at present and further sending a first control command or a second control command;
the on-site projection mechanism is used for executing projection operation on the front wall body in a starting state and finishing the projection operation on the front wall body in a closing state;
the pinhole imaging mechanism is arranged in the center of a front wall body of the on-site projection mechanism, is connected with the state detection mechanism through a wireless communication link, and is used for finishing imaging operation on a front scene of the wall body when the first control command is wirelessly received so as to obtain a projection scene image;
the primary processing mechanism is buried in a control box in the wall body, is electrically connected with the pinhole imaging mechanism, and is used for executing image signal filtering processing of an edge-keeping smooth mode on the received projection scene image so as to obtain a primary processing image;
a secondary processing mechanism, connected to the primary processing mechanism, for performing directional filtering processing on the received primary processed image to obtain a secondary processed image;
a final-stage processing mechanism, connected to the secondary processing mechanism, for performing image signal processing of histogram equalization on the received secondary-processed image to obtain a final-stage processed image;
the human body identification device is connected with the final-stage processing mechanism and used for identifying the total number of human body objects occupying pixel points with the number exceeding a set number threshold value in the received final-stage processed image to be output as the current reference number of people;
and the area adjusting mechanism is respectively connected with the field projection mechanism and the human body identification device and is used for determining the numerical value of the current projection visual angle of the field projection mechanism based on the area proportion of the minimum image area, which is enclosed by each human body imaging area in the final-stage processed image, of each human body imaging area, formed in the final-stage processed image, of each human body object, of which the number of occupied pixels in the final-stage processed image exceeds a set number threshold value, in the final-stage processed image.
2. The projected big data self-adjusting system as claimed in claim 1, wherein said system further comprises:
a TF memory chip connected to the primary processing mechanism, the secondary processing mechanism, the final processing mechanism, and the human body identification device, respectively;
wherein the TF memory chip is configured to store input signals and/or output signals of the primary processing mechanism, the secondary processing mechanism, the final processing mechanism, and the human identification device, respectively.
3. The projected big data self-adjusting system as claimed in claim 1, wherein said system further comprises:
and the parallel communication mechanism is respectively connected with the primary processing mechanism, the secondary processing mechanism, the final processing mechanism and the human body identification device to provide parallel communication links between the primary processing mechanism, the secondary processing mechanism, the final processing mechanism and the human body identification device.
4. The projection big data self-adjusting system as set forth in any of claims 1-3, wherein:
determining the value of the current projection visual angle of the on-site projection mechanism according to the area ratio of the minimum image area enclosed in the final processed image to the final processed image, wherein the minimum image area is formed by each human body imaging area, formed by each human body object occupying pixel points in the final processed image and having the number exceeding a set number threshold, in the final processed image, comprises: the determined value of the current projection visual angle of the on-site projection mechanism is monotonically and positively associated with the area ratio;
wherein the determined monotonic forward correlation of the numerical value of the current projection view angle of the on-site projection mechanism with the area ratio comprises: the smaller the numerical value of the area ratio is, the smaller the numerical value of the determined current projection angle of view of the on-site projection mechanism is.
5. The projection big data self-adjusting system as set forth in any of claims 1-3, wherein:
the step of identifying the total number of human body objects occupying pixel points with the number exceeding a set number threshold in the received final-stage processed image to be output as the current reference number comprises the following steps: and identifying the total number of human body objects occupying pixel points with the number exceeding a set number threshold value in the received final-stage processed image based on the standard human body contour so as to serve as the current reference number of people for output.
6. The projection big data self-adjusting system as defined in claim 5, wherein:
the step of identifying the total number of human body objects occupying pixel points with the number exceeding a set number threshold in the received final-stage processed image to be output as the current reference number further comprises the following steps: and taking each image area with the edge shape matched with the edge shape of the standard human body outline in the final-stage processing image as a human body imaging area with a human body object.
7. The projection big data self-adjusting system as claimed in claim 6, wherein:
the step of identifying the total number of human body objects occupying pixel points with the number exceeding a set number threshold in the received final-stage processed image to be output as the current reference number further comprises the following steps: and when the number of the pixels occupied by a certain human body imaging area exceeds a set number threshold, judging that the human body imaging area is an effective human body area, and outputting the total number of the effective human body areas in the final-stage processed image as the current reference number.
8. The projection big data self-adjusting system as set forth in any of claims 1-3, wherein:
the step of outputting the total number of the human body objects occupying pixel points with the number exceeding a set number threshold value in the final-stage processing image received based on standard human body contour recognition as the current reference number comprises the following steps: the number of standard body contours is more than one.
9. The projection big data self-adjusting system as set forth in any of claims 1-3, wherein:
detecting whether the field projection mechanism is currently in a started state, and then sending a first control command or a second control command comprises: and detecting that the field projection mechanism is currently in a started state, and sending a first control command.
10. The projection big data self-adjusting system as claimed in claim 9, wherein:
detecting whether the field projection mechanism is currently in a started state, and then sending out a first control command or a second control command comprises: and detecting that the field projection mechanism is in a closed state at present, and sending a second control command.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211198670.XA CN115604444A (en) | 2022-09-29 | 2022-09-29 | Projection big data self-adjusting system |
| GBGB2215475.1A GB202215475D0 (en) | 2022-03-26 | 2022-10-20 | Short video data and projection data processing system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211198670.XA CN115604444A (en) | 2022-09-29 | 2022-09-29 | Projection big data self-adjusting system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115604444A true CN115604444A (en) | 2023-01-13 |
Family
ID=84845234
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211198670.XA Pending CN115604444A (en) | 2022-03-26 | 2022-09-29 | Projection big data self-adjusting system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115604444A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011007948A (en) * | 2009-06-24 | 2011-01-13 | Sharp Corp | Projector and portable equipment with built-in projector |
| CN108629230A (en) * | 2017-03-16 | 2018-10-09 | 杭州海康威视数字技术股份有限公司 | A kind of demographic method and device and elevator scheduling method and system |
| US20200404232A1 (en) * | 2019-06-20 | 2020-12-24 | Lg Electronics Inc. | Method for projecting image and robot implementing the same |
| WO2022007120A1 (en) * | 2020-07-08 | 2022-01-13 | 谢超奇 | Road patching quantitative positioning data sending platform and method |
-
2022
- 2022-09-29 CN CN202211198670.XA patent/CN115604444A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011007948A (en) * | 2009-06-24 | 2011-01-13 | Sharp Corp | Projector and portable equipment with built-in projector |
| CN108629230A (en) * | 2017-03-16 | 2018-10-09 | 杭州海康威视数字技术股份有限公司 | A kind of demographic method and device and elevator scheduling method and system |
| US20200404232A1 (en) * | 2019-06-20 | 2020-12-24 | Lg Electronics Inc. | Method for projecting image and robot implementing the same |
| WO2022007120A1 (en) * | 2020-07-08 | 2022-01-13 | 谢超奇 | Road patching quantitative positioning data sending platform and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US5953076A (en) | System and method of real time insertions into video using adaptive occlusion with a synthetic reference image | |
| CN102150430B (en) | Video processing and telepresence system and method | |
| TWI230009B (en) | Display image generation with differential illumination | |
| AU2002306508B2 (en) | Method and apparatus for inhibiting projection of selected areas of a projected image | |
| CN103167293B (en) | Display system | |
| US10120267B2 (en) | System and method for re-configuring a lighting arrangement | |
| RU2576484C2 (en) | Apparatus and methods of determining colour modes | |
| CN107817924A (en) | The control method of display device and display device | |
| US20210306606A1 (en) | Method and system for adjusting white balance, and display | |
| US20130083997A1 (en) | Temporally structured light | |
| CN115002432A (en) | Projection equipment and obstacle avoidance projection method | |
| US20060033824A1 (en) | Sodium screen digital traveling matte methods and apparatus | |
| US20090172756A1 (en) | Lighting analysis and recommender system for video telephony | |
| CN114222098A (en) | Gamma curve adjusting method and device for projection equipment | |
| CN115604444A (en) | Projection big data self-adjusting system | |
| US7940293B2 (en) | Video conferencing system | |
| CN116246553A (en) | Projection apparatus and projection method | |
| CN113873208B (en) | Gamma curve adjusting method and equipment for projection equipment | |
| KR100661528B1 (en) | Adjustive chroma key composition apparatus and method | |
| CN101682791B (en) | Using a region restricted cleanup signal to bridge a signal level mismatch between a blue screen and an adjoining garbage matte | |
| JP2009036801A (en) | View environment control device and view environment control method | |
| KR100629529B1 (en) | Method and apparatus for auto setting screen light of projector | |
| JP2007141563A (en) | Audiovisual environment control device, audiovisual environment control system and audiovisual environment control method | |
| CN113727084B (en) | Self-adaptive brightness control method and system for projection equipment | |
| JP4248981B2 (en) | Image generation method, image generation apparatus, and image generation program and recording medium |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20230113 |