CN111832555A - Navigation data based serial number identification method - Google Patents
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- CN111832555A CN111832555A CN201910316559.8A CN201910316559A CN111832555A CN 111832555 A CN111832555 A CN 111832555A CN 201910316559 A CN201910316559 A CN 201910316559A CN 111832555 A CN111832555 A CN 111832555A
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- 230000007246 mechanism Effects 0.000 claims abstract description 6
- 238000012937 correction Methods 0.000 claims description 49
- 238000012545 processing Methods 0.000 claims description 27
- 238000000605 extraction Methods 0.000 claims description 23
- 238000001914 filtration Methods 0.000 claims description 20
- 238000004891 communication Methods 0.000 claims description 6
- 238000012015 optical character recognition Methods 0.000 claims description 4
- 238000005303 weighing Methods 0.000 claims description 4
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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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/28—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network with correlation of data from several navigational instruments
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
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Abstract
The invention relates to a serial number identification method based on navigation data, which comprises a scanning identification mechanism for perfecting serial numbers of shared bicycles by using a serial number identification platform based on the navigation data, so that scanning identification actions can be executed even facing residual field serial numbers.
Description
Technical Field
The invention relates to the field of navigation, in particular to a serial number identification method based on navigation data.
Background
Navigation is an area of research with emphasis on monitoring and controlling processes or the movement of vehicles from one place to another.
The field of navigation includes four general categories: land navigation, marine navigation, aviation navigation and space navigation. This is also an art term for expertise used by the navigator to perform navigation tasks. All navigation techniques involve locating the position of the navigator compared to known positions or patterns. In a broader sense, navigation may refer to any skill or study related to determining position and orientation. In this sense, navigation includes directional motion and pedestrian navigation.
Disclosure of Invention
The invention needs to have the following three important points:
(1) the scanning identification mechanism of the serial number of the shared bicycle is perfected, so that the scanning identification action can be executed even facing to the residual field serial number, and the robustness of the application system of the shared bicycle is improved;
(2) introducing first extraction equipment, first analysis equipment and second analysis equipment, and determining the data volume grade of the image based on the number of bytes occupied by the pixel value of each pixel point in the image and the total number of the pixel points in the image;
(3) whether to execute color correction processing with larger computation amount is determined according to the data amount grade of the image so as to balance the processing effect and the computation efficiency.
According to an aspect of the present invention, there is provided a navigation data based serial number recognition method including a scan recognition mechanism using a navigation data based serial number recognition platform to perfect a serial number of a shared bicycle so that a scan recognition action can be performed even in the face of a remaining field serial number, the navigation data based serial number recognition platform including:
the first acquisition equipment is positioned at one side of a server of a shared bicycle operator and used for receiving a field acquisition image obtained by shooting a shared bicycle number by a mobile phone on a shared bicycle using field;
the second acquisition equipment is positioned at one side of the server of the shared bicycle operator and used for receiving field navigation data sent by navigation equipment of a mobile phone on the field of use of the shared bicycle, and the navigation equipment is a Galileo navigator;
the main control equipment is positioned in a server of a shared bicycle operator, is respectively connected with the first acquisition equipment and the second acquisition equipment, and is used for searching a shared bicycle number which is in an area corresponding to field navigation data and has a plurality of reference numbers simultaneously from a storage device of the server of the shared bicycle operator based on the plurality of received reference numbers and the received field navigation data so as to be output as a search number;
the wireless communication interface is connected with the main control equipment and used for feeding the search number back to the mobile phone of the shared bicycle using site through a wireless communication link;
the first analysis equipment is positioned on one side of the server of the shared bicycle operator, is connected with the first acquisition equipment, and is used for receiving the field acquisition image and analyzing the number of bytes occupied by the pixel value of each pixel point in the field acquisition image so as to obtain the reference number of bytes to be output;
the second analysis device is used for receiving the field acquisition image and counting the total number of pixel points in the field acquisition image to obtain a reference total number for output;
the first extraction device is respectively connected with the first analysis device and the second analysis device and used for receiving the reference byte number and the reference total number and determining a data volume grade in direct proportion to the reference byte number and the reference total number based on the product of the reference byte number and the reference total number;
the first extraction equipment, the first analysis equipment and the second analysis equipment are all connected with the same 32-bit parallel data bus;
and the dynamic range adjusting device is connected with the first analyzing device and used for receiving the field acquisition image and executing dynamic range expansion processing on the field acquisition image so as to obtain and output a corresponding dynamic range adjusting image.
The serial number identification method based on the navigation data is effective in theft prevention and robust in system. Due to the fact that a scanning identification mechanism of the shared bicycle serial number is perfected, scanning identification action can be executed even when the shared bicycle serial number faces to residual field serial numbers, and therefore robustness of the shared bicycle application system is improved.
Detailed Description
An embodiment of the navigation data-based number recognition method of the present invention will be described in detail below.
The Galileo satellite navigation system (Galileo satellite navigation system) is a global satellite navigation positioning system developed and established by the european union, which was published by the european commission on 2 months 1999, and which was under the responsibility of both the european commission and the european office. The system consists of 30 satellites with the orbit height of 23616km, wherein 27 working satellites and 3 backup satellites. The satellite orbit has a height of about 2.4 kilometers and is located in 3 orbital planes with an inclination of 56 degrees. By 2016 for 12 months, 18 working satellites have been launched, with Early Operating Capability (EOC), and planned to have Full Operating Capability (FOC) in 2019. All 30 satellites (adjusted to 24 working satellites and 6 backup satellites) are planned to be launched in 2020.
In the prior art, when the shared bicycle is used, the two-dimension code is easily scratched by a person, and the serial number ID of the auxiliary authentication can be damaged, so that the shared bicycle cannot be used at all. Therefore, how to identify the number ID and authenticate and use the sharing bicycle under the condition that the number ID is partially destroyed is one of the difficulties faced by the sharing bicycle operator.
In order to overcome the defects, the invention builds a serial number identification method based on navigation data, which comprises a scanning identification mechanism that uses a serial number identification platform based on the navigation data to perfect the serial number of the shared bicycle, so that the scanning identification action can be executed even facing to the residual field serial number. The serial number identification platform based on the navigation data can effectively solve the corresponding technical problem.
The number identification platform based on the navigation data according to the embodiment of the invention comprises:
the first acquisition equipment is positioned at one side of a server of a shared bicycle operator and used for receiving a field acquisition image obtained by shooting a shared bicycle number by a mobile phone on a shared bicycle using field;
the second acquisition equipment is positioned at one side of the server of the shared bicycle operator and used for receiving field navigation data sent by navigation equipment of a mobile phone on the field of use of the shared bicycle, and the navigation equipment is a Galileo navigator;
the main control equipment is positioned in a server of a shared bicycle operator, is respectively connected with the first acquisition equipment and the second acquisition equipment, and is used for searching a shared bicycle number which is in an area corresponding to field navigation data and has a plurality of reference numbers simultaneously from a storage device of the server of the shared bicycle operator based on the plurality of received reference numbers and the received field navigation data so as to be output as a search number;
the wireless communication interface is connected with the main control equipment and used for feeding the search number back to the mobile phone of the shared bicycle using site through a wireless communication link;
the first analysis equipment is positioned on one side of the server of the shared bicycle operator, is connected with the first acquisition equipment, and is used for receiving the field acquisition image and analyzing the number of bytes occupied by the pixel value of each pixel point in the field acquisition image so as to obtain the reference number of bytes to be output;
the second analysis device is used for receiving the field acquisition image and counting the total number of pixel points in the field acquisition image to obtain a reference total number for output;
the first extraction device is respectively connected with the first analysis device and the second analysis device and used for receiving the reference byte number and the reference total number and determining a data volume grade in direct proportion to the reference byte number and the reference total number based on the product of the reference byte number and the reference total number;
the first extraction equipment, the first analysis equipment and the second analysis equipment are all connected with the same 32-bit parallel data bus;
the dynamic range adjusting device is connected with the first analyzing device and used for receiving the field acquisition image and executing dynamic range expansion processing on the field acquisition image so as to obtain and output a corresponding dynamic range adjusting image;
a geometric correction device connected to the dynamic range adjustment device for performing geometric correction on the received dynamic range adjustment image to obtain a corresponding geometric correction image;
the sharpening processing device is connected with the geometric correction device and is used for sharpening the received geometric correction image so as to obtain and output a corresponding sharpened image;
the enhancement processing device is connected with the sharpening processing device and is used for receiving the sharpened processed image and executing enhancement processing on the sharpened processed image so as to obtain and output a corresponding enhanced processed image;
the level analysis device is respectively connected with the first extraction device and the enhancement processing device, and is used for receiving the enhancement processing image, executing color correction processing on the enhancement processing image when the level of the received data volume is less than or equal to a preset level threshold value so as to obtain and output a corresponding instant correction image, and outputting the enhancement processing image as the instant correction image when the level of the received data volume is greater than the preset level threshold value;
the digital extraction equipment is respectively connected with the main control equipment and the grade analysis equipment and is used for performing OCR (optical character recognition) on the instant correction image to obtain a plurality of reference numbers, and the value range of each reference number is 0 to 9;
wherein, in the master control device, the number of the search numbers is one or more.
Next, the specific structure of the navigation data-based number recognition platform according to the present invention will be further described.
The number identification platform based on the navigation data can further comprise:
and the coefficient identification device is connected with the grade analysis device and used for receiving the instant correction image, measuring a fringe area in the instant correction image, determining the total number of pixel points occupied by the fringe area, determining the total number of the pixel points of the instant correction image based on the resolution of the instant correction image, and dividing the total number of the pixel points occupied by the fringe area by the total number of the pixel points of the instant correction image to obtain a balance proportion.
The number identification platform based on the navigation data can further comprise:
the mode switching equipment is connected with the coefficient identification equipment and used for sending out a filtering starting signal when the weighing proportion exceeds the limit and sending out a filtering closing signal when the weighing proportion does not exceed the limit;
and the mode control device is respectively connected with the mode switching device and the coefficient identification device, and is used for entering a refined filtering mode when receiving the filtering starting signal and exiting the refined filtering mode when receiving the filtering closing signal.
In the serial number identification platform based on navigation data:
the mode control apparatus performs the following filtering processing in the refinement filtering mode: determining a reference pixel point extraction area based on the resolution of the instant correction image, taking each pixel point in the instant correction image as a pixel point to be processed, extracting each reference pixel point of the pixel point to be processed based on the reference pixel point extraction area, and determining the pixel average value of the pixel point to be processed based on each reference pixel point.
In the serial number identification platform based on navigation data:
determining the pixel average value of the pixel point to be processed based on the reference pixel points comprises: one or more pixel points located in the fringe region are removed from the reference pixel points to obtain pixel points to be used, and mean value calculation is performed on the pixel points to be used to obtain a pixel average value of the pixel points to be processed;
and the mode control equipment outputs a filtered image with the same resolution as that of the instant correction image based on the average value of each pixel point to be processed.
In the serial number identification platform based on navigation data:
the mode control device is further configured to perform mean filtering processing on the immediate correction image when exiting the fine filtering mode to obtain and output a filtered image corresponding to the immediate correction image;
the mode control device is also connected with the digital extraction device and used for sending the filtered image to the digital extraction device in place of the instant correction image.
In the serial number identification platform based on navigation data:
determining a reference pixel point extraction region based on the resolution of the instant correction image: the determined extraction area of the fixed reference pixel point is in direct proportion to the resolution of the instant correction image;
wherein determining the total number of pixel points of the live corrected image based on the resolution of the live corrected image comprises: and the resolution of the instant correction image comprises a horizontal resolution and a vertical resolution, and the horizontal resolution and the vertical resolution are multiplied to obtain the total number of pixel points of the instant correction image.
In addition, the grade analyzing apparatus is implemented using a GAL device. Generic array logic devices GAL devices were the first electrically erasable, programmable, settable encryption bit PLDs invented by LATTICE. Representative GAL chips are GAL16V8, GAL20, which are capable of emulating almost all types of PAL devices. In practical application, GAL device has 100% compatibility to PAL device emulation, so GAL can almost completely replace PAL device, and can replace most SSI, MSI digital integrated circuit, thus obtaining wide application. The biggest difference between GAL and PAL is that the output structure of the GAL is user-definable and is a programmable output structure. Two basic models of GAL, GAL16V8(20 pins) GAL20V8(24 pins), replace ten PAL devices, and are therefore called pain programmable circuits. The output of the PAL is well defined by the manufacturer, the chip is fixed after being selected, and the user can not change the chip.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (7)
1. A navigation data based serial number identification method, the method comprising a scan identification mechanism using a navigation data based serial number identification platform to refine a serial number of a shared bicycle so that a scan identification action can be performed even in the face of a residual field serial number, the navigation data based serial number identification platform comprising:
the first acquisition equipment is positioned at one side of a server of a shared bicycle operator and used for receiving a field acquisition image obtained by shooting a shared bicycle number by a mobile phone on a shared bicycle using field;
the second acquisition equipment is positioned at one side of the server of the shared bicycle operator and used for receiving field navigation data sent by navigation equipment of a mobile phone on the field of use of the shared bicycle, and the navigation equipment is a Galileo navigator;
the main control equipment is positioned in a server of a shared bicycle operator, is respectively connected with the first acquisition equipment and the second acquisition equipment, and is used for searching a shared bicycle number which is in an area corresponding to field navigation data and has a plurality of reference numbers simultaneously from a storage device of the server of the shared bicycle operator based on the plurality of received reference numbers and the received field navigation data so as to be output as a search number;
the wireless communication interface is connected with the main control equipment and used for feeding the search number back to the mobile phone of the shared bicycle using site through a wireless communication link;
the first analysis equipment is positioned on one side of the server of the shared bicycle operator, is connected with the first acquisition equipment, and is used for receiving the field acquisition image and analyzing the number of bytes occupied by the pixel value of each pixel point in the field acquisition image so as to obtain the reference number of bytes to be output;
the second analysis device is used for receiving the field acquisition image and counting the total number of pixel points in the field acquisition image to obtain a reference total number for output;
the first extraction device is respectively connected with the first analysis device and the second analysis device and used for receiving the reference byte number and the reference total number and determining a data volume grade in direct proportion to the reference byte number and the reference total number based on the product of the reference byte number and the reference total number;
the first extraction equipment, the first analysis equipment and the second analysis equipment are all connected with the same 32-bit parallel data bus;
the dynamic range adjusting device is connected with the first analyzing device and used for receiving the field acquisition image and executing dynamic range expansion processing on the field acquisition image so as to obtain and output a corresponding dynamic range adjusting image;
a geometric correction device connected to the dynamic range adjustment device for performing geometric correction on the received dynamic range adjustment image to obtain a corresponding geometric correction image;
the sharpening processing device is connected with the geometric correction device and is used for sharpening the received geometric correction image so as to obtain and output a corresponding sharpened image;
the enhancement processing device is connected with the sharpening processing device and is used for receiving the sharpened processed image and executing enhancement processing on the sharpened processed image so as to obtain and output a corresponding enhanced processed image;
the level analysis device is respectively connected with the first extraction device and the enhancement processing device, and is used for receiving the enhancement processing image, executing color correction processing on the enhancement processing image when the level of the received data volume is less than or equal to a preset level threshold value so as to obtain and output a corresponding instant correction image, and outputting the enhancement processing image as the instant correction image when the level of the received data volume is greater than the preset level threshold value;
the digital extraction equipment is respectively connected with the main control equipment and the grade analysis equipment and is used for performing OCR (optical character recognition) on the instant correction image to obtain a plurality of reference numbers, and the value range of each reference number is 0 to 9;
wherein, in the master control device, the number of the search numbers is one or more.
2. The method of claim 1, wherein the platform further comprises:
and the coefficient identification device is connected with the grade analysis device and used for receiving the instant correction image, measuring a fringe area in the instant correction image, determining the total number of pixel points occupied by the fringe area, determining the total number of the pixel points of the instant correction image based on the resolution of the instant correction image, and dividing the total number of the pixel points occupied by the fringe area by the total number of the pixel points of the instant correction image to obtain a balance proportion.
3. The method of claim 2, wherein the platform further comprises:
the mode switching equipment is connected with the coefficient identification equipment and used for sending out a filtering starting signal when the weighing proportion exceeds the limit and sending out a filtering closing signal when the weighing proportion does not exceed the limit;
and the mode control device is respectively connected with the mode switching device and the coefficient identification device, and is used for entering a refined filtering mode when receiving the filtering starting signal and exiting the refined filtering mode when receiving the filtering closing signal.
4. The method of claim 3, wherein:
the mode control apparatus performs the following filtering processing in the refinement filtering mode: determining a reference pixel point extraction area based on the resolution of the instant correction image, taking each pixel point in the instant correction image as a pixel point to be processed, extracting each reference pixel point of the pixel point to be processed based on the reference pixel point extraction area, and determining the pixel average value of the pixel point to be processed based on each reference pixel point.
5. The method of claim 4, wherein:
determining the pixel average value of the pixel point to be processed based on the reference pixel points comprises: one or more pixel points located in the fringe region are removed from the reference pixel points to obtain pixel points to be used, and mean value calculation is performed on the pixel points to be used to obtain a pixel average value of the pixel points to be processed;
and the mode control equipment outputs a filtered image with the same resolution as that of the instant correction image based on the average value of each pixel point to be processed.
6. The method of claim 5, wherein:
the mode control device is further configured to perform mean filtering processing on the immediate correction image when exiting the fine filtering mode to obtain and output a filtered image corresponding to the immediate correction image;
the mode control device is also connected with the digital extraction device and used for sending the filtered image to the digital extraction device in place of the instant correction image.
7. The method of claim 6, wherein:
determining a reference pixel point extraction region based on the resolution of the instant correction image: the determined extraction area of the fixed reference pixel point is in direct proportion to the resolution of the instant correction image;
wherein determining the total number of pixel points of the live corrected image based on the resolution of the live corrected image comprises: and the resolution of the instant correction image comprises a horizontal resolution and a vertical resolution, and the horizontal resolution and the vertical resolution are multiplied to obtain the total number of pixel points of the instant correction image.
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