CN110837826A - Self-adaptive high-light-irradiation license plate recognition method and related device - Google Patents
Self-adaptive high-light-irradiation license plate recognition method and related device Download PDFInfo
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- CN110837826A CN110837826A CN201911017202.6A CN201911017202A CN110837826A CN 110837826 A CN110837826 A CN 110837826A CN 201911017202 A CN201911017202 A CN 201911017202A CN 110837826 A CN110837826 A CN 110837826A
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- 239000013589 supplement Substances 0.000 claims abstract description 12
- 230000001502 supplementing effect Effects 0.000 claims abstract description 9
- 230000003044 adaptive effect Effects 0.000 claims description 28
- 238000011084 recovery Methods 0.000 claims description 6
- 239000000126 substance Substances 0.000 claims description 3
- 238000005286 illumination Methods 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000003760 hair shine Effects 0.000 description 2
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/141—Control of illumination
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/63—Scene text, e.g. street names
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/625—License plates
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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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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
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Abstract
The invention discloses a self-adaptive high-light-irradiation license plate recognition method and a related device, and relates to the technical field of image recognition. The method comprises the following steps: acquiring a vehicle image; carrying out regional processing on the vehicle image to form a plurality of subregions; counting the brightness mean value of each sub-region; judging whether the brightness mean value of each sub-region exceeds a preset threshold value or not; if the brightness exceeds the preset value, the gain and the exposure time of the camera are reduced, and the brightness of the light supplement lamp panel is controlled to be increased; and identifying a license plate in the vehicle image. The invention can automatically judge the strong light irradiation, automatically reduce the gain and the exposure time parameter of the camera under the strong light irradiation, and avoid the situation that the license plate cannot be identified due to the overexposure of the image. Meanwhile, the brightness of the light supplementing lamp panel is controlled to be increased so as to enhance the reflection of the license plate, and therefore the license plate in the image can be conveniently identified.
Description
Technical Field
The invention relates to the technical field of image recognition, in particular to a license plate recognition method and a related device capable of realizing self-adaptive high-light irradiation.
Background
The license plate number of the vehicle is the only 'identity' mark of the vehicle, the license plate recognition technology can realize the automatic registration and verification of the 'identity' of the vehicle under the condition that the vehicle is not changed, and the technology is applied to various occasions such as road charging, parking management, weighing systems, traffic guidance, traffic law enforcement, road inspection, vehicle scheduling, vehicle detection and the like.
The traditional license plate recognition adopts a camera to shoot and recognize the license plate, but under a strong light (car light or backlight and the like) direct incidence scene, the gain must be reduced in order to recognize the license plate, so that the ambient brightness around the vehicle is also reduced. When the strong light is strong enough, the surrounding environment of the vehicle cannot be seen clearly, and the normal monitoring of the surrounding environment cannot be considered.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a license plate recognition method and a related device with self-adaptive high-light irradiation, which can automatically adjust the gain and exposure time parameters of a camera under the high-light irradiation, and are convenient for recognizing the license plate.
In a first aspect, an embodiment of the present invention provides a license plate recognition method with adaptive highlight illumination, where the method includes:
acquiring a vehicle image;
carrying out regional processing on the vehicle image to form a plurality of subregions;
counting the brightness mean value of each sub-region;
judging whether the brightness mean value of each sub-region exceeds a preset threshold value or not;
if the brightness exceeds the preset value, the gain and the exposure time of the camera are reduced, and the brightness of the light supplement lamp panel is controlled to be increased;
and identifying a license plate in the vehicle image.
The self-adaptive high-light-irradiation license plate recognition method provided by the embodiment of the invention at least has the following beneficial effects: the method can automatically judge the strong light irradiation, automatically reduce the gain and the exposure time parameter of the camera under the strong light irradiation, and avoid the situation that the license plate cannot be identified due to the overexposure of the image. Meanwhile, the brightness of the light supplementing lamp panel is controlled to be increased so as to enhance the reflection of the license plate, and therefore the license plate in the image can be conveniently identified.
According to other embodiments of the present invention, a method for recognizing a license plate under adaptive high-light irradiation, the method further comprises:
judging whether the number of the sub-regions with the brightness mean value exceeding the preset threshold value exceeds a preset number or not;
if the brightness of the light supplement lamp panel exceeds the preset brightness value, the gain and the exposure time of the camera are reduced, and the brightness of the light supplement lamp panel is controlled to be increased.
According to other embodiments of the present invention, a method for recognizing a license plate under adaptive high-light irradiation, the method further comprises:
and if the license plate in the vehicle image is identified, maintaining the current gain and the exposure time of the camera until the vehicle leaves the preset time and then recovering to the normal value.
According to other embodiments of the present invention, a method for recognizing a license plate under adaptive high-light irradiation, the method further comprises:
and if the license plate in the vehicle image is not identified within the preset time, restoring the gain and the exposure time of the camera to normal values.
In a second aspect, an embodiment of the present invention provides an adaptive highlight-based license plate recognition apparatus, including:
the acquisition module is used for acquiring a vehicle image;
the processing module is used for carrying out regional processing on the vehicle image to form a plurality of sub-regions;
the statistical module is used for counting the brightness mean value of each sub-region;
the first judgment module is used for judging whether the brightness mean value of each sub-region exceeds a preset threshold value or not;
the first control module is used for reducing the gain and the exposure time of the camera if the gain and the exposure time exceed the preset value and controlling the brightness of the light supplementing lamp panel to be increased;
and the recognition module is used for recognizing the license plate in the vehicle image.
According to further embodiments of the present invention, an adaptive hard-lit license plate recognition device, the device further comprising:
the second judgment module is used for judging whether the number of the sub-regions with the brightness mean value exceeding the preset threshold value exceeds the preset number or not;
and the second control module reduces the gain and the exposure time of the camera if the gain and the exposure time exceed the preset value, and controls the brightness of the light supplementing lamp panel to be increased.
According to further embodiments of the present invention, an adaptive hard-lit license plate recognition device, the device further comprising:
and the first recovery module is used for maintaining the current gain and the exposure time of the camera if the license plate in the vehicle image is identified, and recovering to a normal value after the vehicle leaves the preset time.
According to further embodiments of the present invention, an adaptive hard-lit license plate recognition device, the device further comprising:
and the second recovery module is used for recovering the gain and the exposure time of the camera to normal values if the license plate in the vehicle image is not identified within the preset time.
In a third aspect, an embodiment of the present invention provides an adaptive highlight-based license plate recognition control device, including:
at least one processor, and,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to cause the at least one processor to perform one of the above-described adaptive hard-lit license plate recognition methods.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer-executable instructions for causing a computer to perform an adaptive hard-lit license plate recognition method as described above.
Drawings
FIG. 1 is a flowchart illustrating a license plate recognition method with adaptive high-light illumination according to an embodiment of the present disclosure;
fig. 2 is a flowchart illustrating a license plate recognition method by adaptive highlight illumination according to another embodiment of the present disclosure.
Detailed Description
The concept and technical effects of the present invention will be clearly and completely described below in conjunction with the embodiments to fully understand the objects, features and effects of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and those skilled in the art can obtain other embodiments without inventive effort based on the embodiments of the present invention, and all embodiments are within the protection scope of the present invention.
In the description of the present invention, if an orientation description is referred to, for example, the orientations or positional relationships indicated by "upper", "lower", "front", "rear", "left", "right", etc. are based on the orientations or positional relationships shown in the drawings, only for convenience of describing the present invention and simplifying the description, but not for indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. If a feature is referred to as being "disposed," "secured," "connected," or "mounted" to another feature, it can be directly disposed, secured, or connected to the other feature or indirectly disposed, secured, connected, or mounted to the other feature.
In the description of the embodiments of the present invention, if "a number" is referred to, it means one or more, if "a plurality" is referred to, it means two or more, if "greater than", "less than" or "more than" is referred to, it is understood that the number is not included, and if "greater than", "lower" or "inner" is referred to, it is understood that the number is included. If reference is made to "first" or "second", this should be understood to distinguish between features and not to indicate or imply relative importance or to implicitly indicate the number of indicated features or to implicitly indicate the precedence of the indicated features.
Example one
Referring to fig. 1, a schematic flow chart of the license plate recognition method with adaptive strong light irradiation in this embodiment is shown.
The method comprises the following steps:
s100, obtaining a vehicle image;
s200, carrying out regional processing on the vehicle image to form a plurality of sub-regions;
s300, counting the brightness mean value of each sub-region;
s400, judging whether the brightness mean value of each sub-area exceeds a preset threshold value or not;
s500, if the brightness exceeds the preset brightness value, reducing the gain and the exposure time of the camera, and controlling the brightness of the light supplement lamp panel to be increased;
s600, identifying a license plate in the vehicle image;
s700, if a license plate in the vehicle image is identified, maintaining the current gain and exposure time of the camera until the vehicle leaves the preset time and then recovering to a normal value;
and S800, if the license plate in the vehicle image is not identified within the preset time, restoring the gain and the exposure time of the camera to normal values.
By combining the steps, the camera acquires the vehicle images of the passing vehicles in real time, and when no vehicle passes through, the gain and exposure time parameters of the camera are set to be normal values (the gain and exposure time parameters are higher at the moment), so that the images acquired by the camera can be utilized to clearly monitor and observe the surrounding environment.
When a vehicle passes by, if the vehicle lamp of the vehicle is in an open state, namely under the condition of strong light irradiation, after the system detects the strong light, the gain and exposure time parameters of the camera are automatically reduced, so that the license plate in the image can be conveniently identified. Specifically, the process of detecting the strong light is as follows: after a vehicle image acquired by a camera is acquired, the vehicle image is subjected to regional processing and divided into a plurality of sub-regions, the brightness mean value of each sub-region is counted, whether the brightness mean value of each sub-region exceeds a preset threshold value or not is judged, and if the brightness mean value exceeds the preset threshold value, vehicles may pass through. At the moment, the gain and the exposure time parameter of the camera are reduced, so that the brightness of the image acquired by the camera is reduced, and the phenomenon that the license plate cannot be identified due to the overexposure of the image is avoided. Meanwhile, the brightness of the light supplementing lamp panel is controlled to be increased so as to enhance the reflection of the license plate, and therefore the license plate in the image can be conveniently identified.
Taking the example of dividing the vehicle image into 17 × 15 sub-regions, the luminance average of each sub-region is calculated respectively (the luminance value of one pixel is 255 at most, and assuming that each sub-region has 8064 pixels, the luminance average of the sub-region is obtained by dividing the sum of the luminance values of the 8064 pixels by 8064). When the brightness mean value exceeds a preset threshold value, the gain parameter of the camera is limited to 32 times, the exposure time parameter is limited to 1ms, and the brightness of the light supplement lamp panel is controlled to be increased so as to be convenient for recognizing license plates in vehicle images.
After the license plate is identified, if the license plate in the vehicle image is identified, the current gain and exposure time parameters of the camera are kept unchanged until the vehicle is detected to leave the preset time (in the embodiment, 15s), and then the current gain and exposure time parameters are restored to normal values. The purpose is as follows: because the gain parameter adjustment of the camera needs a certain time, the condition that the vehicle leaves the camera monitoring area due to the fact that the license plate cannot be recognized in time possibly caused by the fact that the focal length of a lens is too small (4mm and below) or the vehicle speed is too fast (more than 40km/h) is avoided.
If the license plate in the vehicle image is not recognized within the preset time (15 s in the embodiment), the false judgment may be caused by other light sources (such as a flashlight) entering the monitoring range of the camera, and if no vehicle passes through, the gain and exposure time parameters of the camera are restored to normal values.
Example two
Referring to fig. 2, based on the first embodiment, the license plate recognition method with adaptive strong light irradiation in the present embodiment further includes, between step S400 and step S500, the steps of:
s401, judging whether the number of sub-areas with the brightness mean value exceeding a preset threshold value exceeds a preset number or not;
and S402, if the brightness of the light supplement lamp panel exceeds the preset brightness, reducing the gain and the exposure time of the cameras, and controlling the brightness of the light supplement lamp panel to be increased.
In this embodiment, still taking the example of dividing the vehicle image into 17 × 15 sub-regions, the luminance average of each sub-region is calculated respectively (the luminance value of one pixel is 255 at most, and assuming that each sub-region has 8064 pixels, the luminance average of the sub-region is the sum of the luminance values of the 8064 pixels divided by 8064). Only when the number of the sub-regions with the brightness mean value exceeding the preset threshold value exceeds the preset number (in this embodiment, 9 sub-regions are used, the brightness mean value of too many sub-regions generally does not exceed the preset threshold value under normal conditions, and even under the condition of street lamp irradiation, the brightness mean value of 1-2 sub-regions is only affected), the gain parameter of the camera is limited to 32 times, the exposure time parameter is limited to 1ms, and the brightness of the light supplement lamp panel is controlled to be increased, so that the license plate in the vehicle image can be identified, and the stability and the accuracy of the system are improved.
EXAMPLE III
The embodiment provides a license plate recognition device that self-adaptation highlight shines, and the device includes:
the acquisition module is used for acquiring a vehicle image;
the processing module is used for carrying out regional processing on the vehicle image to form a plurality of sub-regions;
the statistical module is used for counting the brightness mean value of each sub-region;
the first judgment module is used for judging whether the brightness mean value of each sub-region exceeds a preset threshold value or not;
the first control module is used for reducing the gain and the exposure time of the camera if the gain and the exposure time exceed the preset value and controlling the brightness of the light supplementing lamp panel to be increased;
the recognition module is used for recognizing the license plate in the vehicle image;
and the first recovery module is used for maintaining the current gain and the exposure time of the camera if the license plate in the vehicle image is identified, and recovering to a normal value after the vehicle leaves the preset time.
And the second recovery module is used for recovering the gain and the exposure time of the camera to normal values if the license plate in the vehicle image is not identified within the preset time.
The working process of the license plate recognition device with adaptive strong light irradiation in this embodiment refers to the description of the license plate recognition method with adaptive strong light irradiation in the first embodiment, and is not described herein again.
Example four
Based on the third embodiment, the license plate recognition device with adaptive strong light irradiation in this embodiment further includes:
the second judgment module is used for judging whether the number of the sub-regions with the brightness mean value exceeding the preset threshold value exceeds the preset number or not;
and the second control module reduces the gain and the exposure time of the camera if the gain and the exposure time exceed the preset value, and controls the brightness of the light supplementing lamp panel to be increased.
The working process of the license plate recognition device with adaptive strong light irradiation in this embodiment refers to the description of the license plate recognition method with adaptive strong light irradiation in the second embodiment, and is not described herein again.
EXAMPLE five
The embodiment provides a license plate discernment controlgear that self-adaptation highlight shines, includes:
at least one processor, and,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the adaptive hard-lit license plate recognition method described in embodiments one and two.
EXAMPLE six
The present embodiment provides a computer-readable storage medium storing computer-executable instructions for causing a computer to perform the adaptive hard-lit license plate recognition method described in the first and second embodiments.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention. Furthermore, the embodiments of the present invention and the features of the embodiments may be combined with each other without conflict.
Claims (10)
1. A self-adaptive high-light irradiation license plate recognition method is characterized by comprising the following steps:
acquiring a vehicle image;
carrying out regional processing on the vehicle image to form a plurality of subregions;
counting the brightness mean value of each sub-region;
judging whether the brightness mean value of each sub-region exceeds a preset threshold value or not;
if the brightness exceeds the preset value, the gain and the exposure time of the camera are reduced, and the brightness of the light supplement lamp panel is controlled to be increased;
and identifying a license plate in the vehicle image.
2. The method for recognizing the license plate under the adaptive strong light irradiation according to claim 1, further comprising:
judging whether the number of the sub-regions with the brightness mean value exceeding the preset threshold value exceeds a preset number or not;
if the brightness of the light supplement lamp panel exceeds the preset brightness value, the gain and the exposure time of the camera are reduced, and the brightness of the light supplement lamp panel is controlled to be increased.
3. The method for recognizing the license plate under the adaptive strong light irradiation according to claim 2, further comprising:
and if the license plate in the vehicle image is identified, maintaining the current gain and the exposure time of the camera until the vehicle leaves the preset time and then recovering to the normal value.
4. The method for recognizing the license plate under the adaptive strong light irradiation according to claim 3, further comprising:
and if the license plate in the vehicle image is not identified within the preset time, restoring the gain and the exposure time of the camera to normal values.
5. A self-adaptive high-light-irradiation license plate recognition device is characterized by comprising:
the acquisition module is used for acquiring a vehicle image;
the processing module is used for carrying out regional processing on the vehicle image to form a plurality of sub-regions;
the statistical module is used for counting the brightness mean value of each sub-region;
the first judgment module is used for judging whether the brightness mean value of each sub-region exceeds a preset threshold value or not;
the first control module is used for reducing the gain and the exposure time of the camera if the gain and the exposure time exceed the preset value and controlling the brightness of the light supplementing lamp panel to be increased;
and the recognition module is used for recognizing the license plate in the vehicle image.
6. The device of claim 5, further comprising:
the second judgment module is used for judging whether the number of the sub-regions with the brightness mean value exceeding the preset threshold value exceeds the preset number or not;
and the second control module reduces the gain and the exposure time of the camera if the gain and the exposure time exceed the preset value, and controls the brightness of the light supplementing lamp panel to be increased.
7. The device of claim 6, further comprising:
and the first recovery module is used for maintaining the current gain and the exposure time of the camera if the license plate in the vehicle image is identified, and recovering to a normal value after the vehicle leaves the preset time.
8. An adaptive high-light license plate recognition device according to claim 7, further comprising:
and the second recovery module is used for recovering the gain and the exposure time of the camera to normal values if the license plate in the vehicle image is not identified within the preset time.
9. A self-adaptive high-light irradiation license plate recognition control device is characterized by comprising:
at least one processor, and,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform an adaptive hard-lit license plate recognition method according to any one of claims 1 to 4.
10. A computer-readable storage medium having stored thereon computer-executable instructions for causing a computer to perform the method of recognizing a license plate with adaptive highlighting according to any of claims 1 to 4.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111491103A (en) * | 2020-04-23 | 2020-08-04 | 浙江大华技术股份有限公司 | Image brightness adjusting method, monitoring equipment and storage medium |
| CN111754440A (en) * | 2020-06-29 | 2020-10-09 | 苏州科达科技股份有限公司 | License plate image enhancement method, system, equipment and storage medium |
| CN112291481A (en) * | 2020-10-30 | 2021-01-29 | 重庆紫光华山智安科技有限公司 | Exposure automatic adjusting method and device, electronic equipment and storage medium |
| CN112733827A (en) * | 2020-12-29 | 2021-04-30 | 深圳市天视通视觉有限公司 | License plate recognition method and device, electronic equipment and storage medium |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008146404A (en) * | 2006-12-11 | 2008-06-26 | Toyota Motor Corp | In-vehicle image recognition device |
| CN101807346A (en) * | 2009-02-16 | 2010-08-18 | 汉王科技股份有限公司 | Automatic license plate identification system at urban checkpoint |
| CN102693423A (en) * | 2012-05-15 | 2012-09-26 | 公安部第三研究所 | Method for precise positioning of license plate in strong light conditions |
| CN103049909A (en) * | 2012-12-12 | 2013-04-17 | 北京蓝卡软件技术有限公司 | Exposure method taking license plate as focus |
| CN104966071A (en) * | 2015-07-03 | 2015-10-07 | 武汉烽火众智数字技术有限责任公司 | Infrared light supplement based night license plate detection and recognition method and apparatus |
| CN106210471A (en) * | 2016-07-19 | 2016-12-07 | 成都百威讯科技有限责任公司 | A kind of outdoor face recognition method and system |
| CN107370955A (en) * | 2017-08-21 | 2017-11-21 | 深圳市天视通电子科技有限公司 | Can be automatically switched web camera, implementation method and the monitoring system of diurnal pattern |
| CN107995436A (en) * | 2017-12-19 | 2018-05-04 | 浙江大华技术股份有限公司 | A kind of light compensation method and device |
| CN109120909A (en) * | 2018-09-13 | 2019-01-01 | 深圳市天视通电子科技有限公司 | A kind of full-color photographic device, the system and method for adjustable light compensating lamp brightness |
| CN109658527A (en) * | 2018-12-14 | 2019-04-19 | 广东安居宝数码科技股份有限公司 | Vehicle parking charge management method, device, equipment and storage medium |
-
2019
- 2019-10-24 CN CN201911017202.6A patent/CN110837826B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008146404A (en) * | 2006-12-11 | 2008-06-26 | Toyota Motor Corp | In-vehicle image recognition device |
| CN101807346A (en) * | 2009-02-16 | 2010-08-18 | 汉王科技股份有限公司 | Automatic license plate identification system at urban checkpoint |
| CN102693423A (en) * | 2012-05-15 | 2012-09-26 | 公安部第三研究所 | Method for precise positioning of license plate in strong light conditions |
| CN103049909A (en) * | 2012-12-12 | 2013-04-17 | 北京蓝卡软件技术有限公司 | Exposure method taking license plate as focus |
| CN104966071A (en) * | 2015-07-03 | 2015-10-07 | 武汉烽火众智数字技术有限责任公司 | Infrared light supplement based night license plate detection and recognition method and apparatus |
| CN106210471A (en) * | 2016-07-19 | 2016-12-07 | 成都百威讯科技有限责任公司 | A kind of outdoor face recognition method and system |
| CN107370955A (en) * | 2017-08-21 | 2017-11-21 | 深圳市天视通电子科技有限公司 | Can be automatically switched web camera, implementation method and the monitoring system of diurnal pattern |
| CN107995436A (en) * | 2017-12-19 | 2018-05-04 | 浙江大华技术股份有限公司 | A kind of light compensation method and device |
| CN109120909A (en) * | 2018-09-13 | 2019-01-01 | 深圳市天视通电子科技有限公司 | A kind of full-color photographic device, the system and method for adjustable light compensating lamp brightness |
| CN109658527A (en) * | 2018-12-14 | 2019-04-19 | 广东安居宝数码科技股份有限公司 | Vehicle parking charge management method, device, equipment and storage medium |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111491103A (en) * | 2020-04-23 | 2020-08-04 | 浙江大华技术股份有限公司 | Image brightness adjusting method, monitoring equipment and storage medium |
| CN111491103B (en) * | 2020-04-23 | 2021-10-15 | 浙江大华技术股份有限公司 | Image brightness adjusting method, monitoring equipment and storage medium |
| CN111754440A (en) * | 2020-06-29 | 2020-10-09 | 苏州科达科技股份有限公司 | License plate image enhancement method, system, equipment and storage medium |
| WO2022000860A1 (en) * | 2020-06-29 | 2022-01-06 | 苏州科达科技股份有限公司 | License plate image enhancement method, system and device, and storage medium |
| CN112291481A (en) * | 2020-10-30 | 2021-01-29 | 重庆紫光华山智安科技有限公司 | Exposure automatic adjusting method and device, electronic equipment and storage medium |
| CN112733827A (en) * | 2020-12-29 | 2021-04-30 | 深圳市天视通视觉有限公司 | License plate recognition method and device, electronic equipment and storage medium |
| CN112733827B (en) * | 2020-12-29 | 2023-08-04 | 深圳市天视通视觉有限公司 | License plate recognition method and device, electronic equipment and storage medium |
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