CN110863678A - Bus station platform - Google Patents
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- CN110863678A CN110863678A CN201911079092.6A CN201911079092A CN110863678A CN 110863678 A CN110863678 A CN 110863678A CN 201911079092 A CN201911079092 A CN 201911079092A CN 110863678 A CN110863678 A CN 110863678A
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- E—FIXED CONSTRUCTIONS
- E04—BUILDING
- E04H—BUILDINGS OR LIKE STRUCTURES FOR PARTICULAR PURPOSES; SWIMMING OR SPLASH BATHS OR POOLS; MASTS; FENCING; TENTS OR CANOPIES, IN GENERAL
- E04H1/00—Buildings or groups of buildings for dwelling or office purposes; General layout, e.g. modular co-ordination or staggered storeys
- E04H1/12—Small buildings or other erections for limited occupation, erected in the open air or arranged in buildings, e.g. kiosks, waiting shelters for bus stops or for filling stations, roofs for railway platforms, watchmen's huts or dressing cubicles
- E04H1/1205—Small buildings erected in the open air
- E04H1/1211—Waiting shelters for bus stops
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09F—DISPLAYING; ADVERTISING; SIGNS; LABELS OR NAME-PLATES; SEALS
- G09F9/00—Indicating arrangements for variable information in which the information is built-up on a support by selection or combination of individual elements
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The invention provides a bus station, comprising: the solar energy bus comprises a body support, wherein a solar ceiling is arranged at the top of the body support, an advertisement display screen and a bus line display screen are arranged on the body support, and a first seat and a second seat which can be turned over are arranged below the body support; the body support is fixed on the ground through the bottom feet. The solar ceiling is arranged at the top of the bus station platform, so that the advertisement display screen and the bus line display screen can be powered, energy is saved, the environment is protected, and the solar energy bus station platform is convenient to construct and use in some regions with incomplete power supply systems.
Description
Technical Field
The invention relates to a traffic supporting facility, in particular to a bus station.
Background
The bus station platform is a public facility specially constructed for urban waiting citizens, provides a waiting place for people, and provides convenience for the citizens waiting pavilions. Due to the increasingly developed urban buses, bus platforms have developed into an indispensable important part of cities, and the designed exquisite bus platforms also become a beautiful landscape of the cities. The bus waiting function of bus station platform is its most basic function, needs reasonable space setting, sets up the size of platform according to specific environment, guarantees that the station can hold suitable number of people and vehicle for the station can exert the biggest effect, makes things convenient for people to go on a journey.
Disclosure of Invention
Technical problem to be solved
The invention aims to provide a bus station which is simple in structure and supplies power to electric equipment of the station through a solar ceiling.
(II) technical scheme
In order to solve the above technical problems, the present invention provides a bus stop, including: the solar energy bus comprises a body support, wherein a solar ceiling is arranged at the top of the body support, an advertisement display screen and a bus line display screen are arranged on the body support, and a first seat and a second seat which can be turned over are arranged below the body support; the body support is fixed on the ground through the bottom feet. The top of bus stop is provided with the solar energy ceiling, can supply power to advertisement display screen and bus route display screen, and energy-concerving and environment-protective is convenient for construct in some imperfect areas of power supply system and is used.
Taking of current city bus is different from other vehicles, need not to carry out identity card swiping verification, and this just makes some criminals, flees etc. probably take the bus and go on a journey, if some platforms possess criminals and flee face identification and detection function, can improve the security of other passengers 'trip greatly, can arrest taking to the investigation of fleeing person again and play tangible effectual help, therefore this technical scheme's bus platform still includes:
the on-site camera is arranged below the solar ceiling and used for shooting images of people passing through the bus station platform or the bus station platform to obtain corresponding on-site personnel images and outputting the on-site personnel images;
a storage unit for storing each of the escape face patterns in advance;
the characteristic comparison unit is used for extracting each person face pattern from the live person image, comparing each person face pattern with each evasion face pattern respectively, and outputting an evasion name corresponding to the evasion face pattern with successful comparison when the evasion face pattern with successful comparison exists;
the smoothness detection unit is connected with the field camera and used for receiving the field personnel image, detecting the smoothness of the field personnel image, sending a low smoothness signal when the smoothness is less than a preset smoothness threshold value and sending a high smoothness signal when the smoothness is more than or equal to the preset smoothness threshold value;
the focus analysis unit is connected with the field camera and used for realizing the histogram analysis of the field personnel image in a normal state, sending a driving stopping signal when the distribution uniformity of the gray values in the histogram analysis result is less than or equal to a preset uniform grade, and sending a driving starting signal when the distribution uniformity of the gray values in the histogram analysis result is greater than the preset uniform grade;
the trigger control unit is respectively connected with the smoothness detection unit and the focal length analysis unit, and is used for controlling the focal length analysis unit to enter a normal state from a dormant state when receiving the low smoothness signal and controlling the focal length analysis unit to enter the dormant state from the normal state when receiving the high smoothness signal;
the focusing control unit is respectively connected with the focal length analysis unit and the field camera, and is used for starting automatic focusing processing on the field camera when receiving the starting driving signal and stopping the automatic focusing processing on the field camera when receiving the stopping driving signal;
the area analysis unit is connected with the field camera and used for receiving the field personnel image and extracting the outline of each target in the field personnel image so as to obtain each distribution area of each target in the field personnel image;
the region partitioning unit is connected with the region analysis unit and used for partitioning the field personnel image to obtain each sub-image, wherein in the field personnel image, the size of the sub-image obtained by uniformly partitioning each distribution region is smaller than the size of the sub-image obtained by uniformly partitioning the undistributed region;
the dynamic range detection unit is connected with the area partitioning unit and used for receiving each subimage of the site personnel image, detecting the dynamic range of each subimage and adjusting the threshold size of the corresponding subimage for background stripping based on the width of the dynamic range of each subimage;
a foreground analysis unit, connected to the dynamic range detection unit, configured to perform the following processing for each sub-image: performing foreground extraction on the sub-images by adopting the adjusted threshold value to obtain a corresponding foreground area; the foreground analysis unit is further used for integrating each foreground region corresponding to each sub-image to obtain a foreground image and outputting the foreground image;
the homomorphic filtering unit is connected with the foreground analyzing unit and used for receiving the foreground image, executing homomorphic filtering processing on the foreground image to obtain a corresponding image to be processed and outputting the image to be processed;
the edge detection unit is connected with the homomorphic filtering unit and used for receiving the image to be processed, executing edge line detection on the image to be processed to obtain each edge line in the image to be processed, outputting an area with the most dense edge lines in the image to be processed as an area to be processed, and outputting the image to be processed without the area to be processed as a residual area;
the signal processing unit is connected with the edge detection unit and used for receiving the region to be processed, detecting the signal-to-noise ratio of the region to be processed and executing contrast enhancement processing with different strength on the region to be processed based on the magnitude of the signal-to-noise ratio so as to obtain a corresponding contrast processing region;
the signal recovery unit is respectively connected with the edge detection unit and the signal processing unit and is used for receiving the residual region and the contrast processing region, adding the contrast processing region into the residual region to obtain a signal recovery image and outputting the signal recovery image; the characteristic comparison unit is connected with the signal recovery unit and used for receiving the signal recovery image and extracting each person face pattern from the signal recovery image;
and the wireless communication unit is connected with the feature comparison unit and is used for receiving the evasion name corresponding to the successfully compared evasion face pattern and wirelessly transmitting the evasion name corresponding to the successfully compared evasion face pattern to a nearest traffic duty room or a bus around the platform to achieve early warning.
Further, the feature comparison unit is connected with the storage unit.
Further, in the signal processing unit, performing edge enhancement processing with different strengths on the region to be processed based on the magnitude of the signal-to-noise ratio includes: and obtaining the amplitude values of various noise types in the region to be processed, and determining the signal-to-noise ratio of the region to be processed based on the amplitude values of various noise types.
Further, in the region blocking unit, uniformly dividing each distribution region includes: the larger the area of the distribution region, the larger the size of the sub-image obtained by the division.
Further, in the dynamic range detection unit, adjusting the threshold size for background stripping of the corresponding sub-image based on the width size of the dynamic range thereof includes: the larger the width of its dynamic range, the larger the adjusted threshold for background stripping of the corresponding sub-image.
(III) advantageous effects
The solar ceiling is arranged at the top of the bus station platform, so that the advertisement display screen and the bus line display screen can be powered, energy is saved, the environment is protected, and the solar energy bus station platform is convenient to construct and use in some areas with incomplete power supply systems.
Drawings
FIG. 1 is a schematic view of a bus stop according to the present invention;
wherein: 1 is body support, 2 is solar energy ceiling, 3 is advertisement display screen, 4 is bus route display screen, 5 is first seat, 6 is the second seat, 7 is the footing.
Detailed Description
Referring to fig. 1, the present invention provides a bus stop, comprising: the solar energy bus comprises a body support 1, wherein a solar ceiling 2 is arranged at the top of the body support 1, an advertisement display screen 3 and a bus line display screen 4 are arranged on the body support 1, and a first seat 5 and a second seat 6 which can be turned over are arranged below the body support 1; the body frame 1 is fixed on the ground through feet 7.
The top of this embodiment bus stop is provided with the solar energy ceiling, can supply power to advertisement display screen and bus route display screen, and energy-concerving and environment-protective is convenient for construct in some imperfect areas of power supply system and is used.
Taking of current city bus is different from other vehicles, need not to carry out identity card swiping verification, and this just makes some criminals, flees etc. probably take the bus and go on a journey, if some platforms possess criminals and flee face identification and detection function, can improve the security of other passengers' trip greatly, can arrest taking to the investigation of fleeing person again and play practical effectual help, therefore this embodiment bus platform still includes:
the on-site camera is arranged below the solar ceiling 2 and is used for shooting images of people passing through the bus station platform or the bus station platform to obtain corresponding on-site personnel images and outputting the on-site personnel images;
a storage unit for storing each of the escape face patterns in advance;
the characteristic comparison unit is used for extracting each person face pattern from the live person image, comparing each person face pattern with each evasion face pattern respectively, and outputting an evasion name corresponding to the evasion face pattern with successful comparison when the evasion face pattern with successful comparison exists;
the smoothness detection unit is connected with the field camera and used for receiving the field personnel image, detecting the smoothness of the field personnel image, sending a low smoothness signal when the smoothness is less than a preset smoothness threshold value and sending a high smoothness signal when the smoothness is more than or equal to the preset smoothness threshold value;
the focus analysis unit is connected with the field camera and used for realizing the histogram analysis of the field personnel image in a normal state, sending a driving stopping signal when the distribution uniformity of the gray values in the histogram analysis result is less than or equal to a preset uniform grade, and sending a driving starting signal when the distribution uniformity of the gray values in the histogram analysis result is greater than the preset uniform grade;
the trigger control unit is respectively connected with the smoothness detection unit and the focal length analysis unit, and is used for controlling the focal length analysis unit to enter a normal state from a dormant state when receiving the low smoothness signal and controlling the focal length analysis unit to enter the dormant state from the normal state when receiving the high smoothness signal;
the focusing control unit is respectively connected with the focal length analysis unit and the field camera, and is used for starting automatic focusing processing on the field camera when receiving the starting driving signal and stopping the automatic focusing processing on the field camera when receiving the stopping driving signal;
the area analysis unit is connected with the field camera and used for receiving the field personnel image and extracting the outline of each target in the field personnel image so as to obtain each distribution area of each target in the field personnel image;
the region partitioning unit is connected with the region analysis unit and used for partitioning the field personnel image to obtain each sub-image, wherein in the field personnel image, the size of the sub-image obtained by uniformly partitioning each distribution region is smaller than the size of the sub-image obtained by uniformly partitioning the undistributed region;
the dynamic range detection unit is connected with the area partitioning unit and used for receiving each subimage of the site personnel image, detecting the dynamic range of each subimage and adjusting the threshold size of the corresponding subimage for background stripping based on the width of the dynamic range of each subimage;
a foreground analysis unit, connected to the dynamic range detection unit, configured to perform the following processing for each sub-image: performing foreground extraction on the sub-images by adopting the adjusted threshold value to obtain a corresponding foreground area; the foreground analysis unit is further used for integrating each foreground region corresponding to each sub-image to obtain a foreground image and outputting the foreground image;
the homomorphic filtering unit is connected with the foreground analyzing unit and used for receiving the foreground image, executing homomorphic filtering processing on the foreground image to obtain a corresponding image to be processed and outputting the image to be processed;
the edge detection unit is connected with the homomorphic filtering unit and used for receiving the image to be processed, executing edge line detection on the image to be processed to obtain each edge line in the image to be processed, outputting an area with the most dense edge lines in the image to be processed as an area to be processed, and outputting the image to be processed without the area to be processed as a residual area;
the signal processing unit is connected with the edge detection unit and used for receiving the region to be processed, detecting the signal-to-noise ratio of the region to be processed and executing contrast enhancement processing with different strength on the region to be processed based on the magnitude of the signal-to-noise ratio so as to obtain a corresponding contrast processing region;
the signal recovery unit is respectively connected with the edge detection unit and the signal processing unit and is used for receiving the residual region and the contrast processing region, adding the contrast processing region into the residual region to obtain a signal recovery image and outputting the signal recovery image; the characteristic comparison unit is connected with the signal recovery unit and used for receiving the signal recovery image and extracting each person face pattern from the signal recovery image;
and the wireless communication unit is connected with the feature comparison unit and is used for receiving the evasion name corresponding to the successfully compared evasion face pattern and wirelessly transmitting the evasion name corresponding to the successfully compared evasion face pattern to the nearest traffic duty room.
The characteristic comparison unit is connected with the storage unit.
In the signal processing unit, performing edge enhancement processing of different strengths on the region to be processed based on the magnitude of the signal-to-noise ratio includes: and obtaining the amplitude values of various noise types in the region to be processed, and determining the signal-to-noise ratio of the region to be processed based on the amplitude values of various noise types.
In the region blocking unit, uniformly dividing each distribution region includes: the larger the area of the distribution region, the larger the size of the sub-image obtained by the division.
In the dynamic range detection unit, adjusting the threshold size for peeling the background of the corresponding sub-image based on the width size of the dynamic range thereof includes: the larger the width of its dynamic range, the larger the adjusted threshold for background stripping of the corresponding sub-image.
The bus station platform has the functions of platform passing and personnel identity identification in the platform, has high safety level, and can quickly send the corresponding evasion name to the nearest traffic duty room when the evasion is found; the method comprises the steps of extracting a preliminary target contour of an image, obtaining a distribution area where a target of the image is located and a non-classified area without the target, implementing a differential image segmentation mode, and adjusting the size of a threshold value for stripping a background of each obtained sub-image based on the width of each dynamic range of each obtained sub-image, so that directional segmentation of a foreground image is realized; in order to avoid excessively complex image processing, contrast enhancement processing is only performed on areas with dense edge lines; based on the smoothness detection result of the image output by the field camera and the gray value distribution condition, the automatic trigger of the automatic focusing operation of the field camera is realized, and the intelligent level of the field camera is improved.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the technical principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (8)
1. A bus stop, comprising: the solar energy ceiling supporting frame comprises a body supporting frame (1), wherein a solar ceiling (2) is arranged at the top of the body supporting frame (1), an advertisement display screen (3) and a bus line display screen (4) are arranged on the body supporting frame (1), and a first seat (5) and a second seat (6) which can turn over are arranged below the body supporting frame (1).
2. Bus stop according to claim 1, characterized in that the body support (1) is fixed to the ground by means of feet (7).
3. The bus stop of claim 1, further comprising:
the on-site camera is arranged below the solar ceiling (2) and is used for shooting images of people passing through the bus station platform or the bus station platform to obtain corresponding on-site personnel images and outputting the on-site personnel images;
a storage unit for storing each of the escape face patterns in advance;
and the feature comparison unit is used for extracting each person face pattern from the live person image, comparing each person face pattern with each evasion face pattern respectively, and outputting an evasion name corresponding to the evasion face pattern with successful comparison when the evasion face pattern with successful comparison exists.
4. The bus stop of claim 3, further comprising:
the smoothness detection unit is connected with the field camera and used for receiving the field personnel image, detecting the smoothness of the field personnel image, sending a low smoothness signal when the smoothness is less than a preset smoothness threshold value and sending a high smoothness signal when the smoothness is more than or equal to the preset smoothness threshold value;
the focus analysis unit is connected with the field camera and used for realizing the histogram analysis of the field personnel image in a normal state, sending a driving stopping signal when the distribution uniformity of the gray values in the histogram analysis result is less than or equal to a preset uniform grade, and sending a driving starting signal when the distribution uniformity of the gray values in the histogram analysis result is greater than the preset uniform grade;
the trigger control unit is respectively connected with the smoothness detection unit and the focal length analysis unit, and is used for controlling the focal length analysis unit to enter a normal state from a dormant state when receiving the low smoothness signal and controlling the focal length analysis unit to enter the dormant state from the normal state when receiving the high smoothness signal;
the focusing control unit is respectively connected with the focal length analysis unit and the field camera, and is used for starting automatic focusing processing on the field camera when receiving the starting driving signal and stopping the automatic focusing processing on the field camera when receiving the stopping driving signal;
the area analysis unit is connected with the field camera and used for receiving the field personnel image and extracting the outline of each target in the field personnel image so as to obtain each distribution area of each target in the field personnel image;
the region partitioning unit is connected with the region analysis unit and used for partitioning the field personnel image to obtain each sub-image, wherein in the field personnel image, the size of the sub-image obtained by uniformly partitioning each distribution region is smaller than the size of the sub-image obtained by uniformly partitioning the undistributed region;
the dynamic range detection unit is connected with the area partitioning unit and used for receiving each subimage of the site personnel image, detecting the dynamic range of each subimage and adjusting the threshold size of the corresponding subimage for background stripping based on the width of the dynamic range of each subimage;
a foreground analysis unit, connected to the dynamic range detection unit, configured to perform the following processing for each sub-image: performing foreground extraction on the sub-images by adopting the adjusted threshold value to obtain a corresponding foreground area; the foreground analysis unit is further used for integrating each foreground region corresponding to each sub-image to obtain a foreground image and outputting the foreground image;
the homomorphic filtering unit is connected with the foreground analyzing unit and used for receiving the foreground image, executing homomorphic filtering processing on the foreground image to obtain a corresponding image to be processed and outputting the image to be processed;
the edge detection unit is connected with the homomorphic filtering unit and used for receiving the image to be processed, executing edge line detection on the image to be processed to obtain each edge line in the image to be processed, outputting an area with the most dense edge lines in the image to be processed as an area to be processed, and outputting the image to be processed without the area to be processed as a residual area;
the signal processing unit is connected with the edge detection unit and used for receiving the region to be processed, detecting the signal-to-noise ratio of the region to be processed and executing contrast enhancement processing with different strength on the region to be processed based on the magnitude of the signal-to-noise ratio so as to obtain a corresponding contrast processing region;
the signal recovery unit is respectively connected with the edge detection unit and the signal processing unit and is used for receiving the residual region and the contrast processing region, adding the contrast processing region into the residual region to obtain a signal recovery image and outputting the signal recovery image; the characteristic comparison unit is connected with the signal recovery unit and used for receiving the signal recovery image and extracting each person face pattern from the signal recovery image;
and the wireless communication unit is connected with the feature comparison unit and is used for receiving the evasion name corresponding to the successfully compared evasion face pattern and wirelessly transmitting the evasion name corresponding to the successfully compared evasion face pattern to the nearest traffic duty room.
5. The bus stop according to claim 4, wherein the feature comparison unit is connected to the storage unit.
6. The bus stop according to claim 5, wherein in the signal processing unit, performing edge enhancement processing of different strengths on the region to be processed based on the magnitude of the signal-to-noise ratio comprises: and obtaining the amplitude values of various noise types in the region to be processed, and determining the signal-to-noise ratio of the region to be processed based on the amplitude values of various noise types.
7. The bus stop according to claim 6, wherein in the area block unit, evenly dividing each distribution area comprises: the larger the area of the distribution region, the larger the size of the sub-image obtained by the division.
8. The bus stop according to claim 7, wherein in the dynamic range detection unit, adjusting the threshold size for background stripping of the corresponding sub-image based on the width size of its dynamic range comprises: the larger the width of its dynamic range, the larger the adjusted threshold for background stripping of the corresponding sub-image.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911079092.6A CN110863678A (en) | 2019-11-07 | 2019-11-07 | Bus station platform |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911079092.6A CN110863678A (en) | 2019-11-07 | 2019-11-07 | Bus station platform |
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| CN110863678A true CN110863678A (en) | 2020-03-06 |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106760653A (en) * | 2016-12-14 | 2017-05-31 | 黑龙江省鑫易诚新能源科技有限公司 | A kind of solar energy bus platform |
| CN107944433A (en) * | 2017-12-21 | 2018-04-20 | 高域（北京）智能科技研究院有限公司 | Security protection monitors method and security protection monitoring system |
| CN108833770A (en) * | 2018-05-23 | 2018-11-16 | 释码融和（上海）信息科技有限公司 | Image definition calculation method, calculating equipment and focusing system for focusing |
| CN109036365A (en) * | 2018-08-15 | 2018-12-18 | 浙江大丰实业股份有限公司 | Anti- acoustic shell control system based on attendance's parsing |
| CN109141251A (en) * | 2018-08-17 | 2019-01-04 | 浙江大丰实业股份有限公司 | Stage fixed mechanism height detection platform |
| CN109255796A (en) * | 2018-09-07 | 2019-01-22 | 浙江大丰实业股份有限公司 | Stage equipment security solution platform |
| CN109636397A (en) * | 2018-11-13 | 2019-04-16 | 平安科技（深圳）有限公司 | Transit trip control method, device, computer equipment and storage medium |
-
2019
- 2019-11-07 CN CN201911079092.6A patent/CN110863678A/en not_active Withdrawn
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106760653A (en) * | 2016-12-14 | 2017-05-31 | 黑龙江省鑫易诚新能源科技有限公司 | A kind of solar energy bus platform |
| CN107944433A (en) * | 2017-12-21 | 2018-04-20 | 高域（北京）智能科技研究院有限公司 | Security protection monitors method and security protection monitoring system |
| CN108833770A (en) * | 2018-05-23 | 2018-11-16 | 释码融和（上海）信息科技有限公司 | Image definition calculation method, calculating equipment and focusing system for focusing |
| CN109036365A (en) * | 2018-08-15 | 2018-12-18 | 浙江大丰实业股份有限公司 | Anti- acoustic shell control system based on attendance's parsing |
| CN109141251A (en) * | 2018-08-17 | 2019-01-04 | 浙江大丰实业股份有限公司 | Stage fixed mechanism height detection platform |
| CN109255796A (en) * | 2018-09-07 | 2019-01-22 | 浙江大丰实业股份有限公司 | Stage equipment security solution platform |
| CN109636397A (en) * | 2018-11-13 | 2019-04-16 | 平安科技（深圳）有限公司 | Transit trip control method, device, computer equipment and storage medium |
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Application publication date: 20200306 |