Navigation data based serial number identification platform

Navigation data based serial number identification platform

  • CN 111,045,054 B
  • Filed: 04/19/2019
  • Issued: 09/14/2021
  • Est. Priority Date: 04/19/2019
  • Status: Active Grant
First Claim
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1. A number recognition platform based on navigation data, the 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 main control device, the number of the search numbers is one or more;

    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 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;

    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;

    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;

    the mode control equipment is also connected with the digital extraction equipment and is used for sending the filtered image to the digital extraction equipment in place of the instant correction image;

    wherein the level analyzing device is implemented by a GAL device, the GAL device is a PLD programmable logic device which can be electrically erased and programmed and can set an encryption bit, the GAL device has 100% compatibility with PAL device simulation programmable array logic device simulation, and the maximum difference between GAL and PAL is that the output structure of GAL can be defined by a user and is a programmable output structure.

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