CN111047899A - Automatic image data analysis platform - Google Patents
Automatic image data analysis platform Download PDFInfo
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- CN111047899A CN111047899A CN201910229127.3A CN201910229127A CN111047899A CN 111047899 A CN111047899 A CN 111047899A CN 201910229127 A CN201910229127 A CN 201910229127A CN 111047899 A CN111047899 A CN 111047899A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/149—Traffic control systems for road vehicles indicating individual free spaces in parking areas coupled to means for restricting the access to the parking space, e.g. authorization, access barriers, indicative lights
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/08—Detecting or categorising vehicles
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Abstract
The invention relates to an automatic image data analysis platform, which comprises: and the DSP processing chip is used for sending a vehicle moving alarm signal when the unqualified contour signal is received and the current time is not in the most frequent time period, and keeping the parking charging operation of the vehicle in the parking space when the unqualified contour signal is received and the current time is in the most frequent time period. The automatic image data analysis platform is reasonable in design and has a certain automation level. Because the similarity between the profile of the current vehicle in the parking space and the profile of the owner is low and the current time is in the most frequent time period when the vehicle of the owner is not in the parking space, the parking charging operation of the vehicle in the parking space is kept and the time length of the nearest time endpoint in the two time endpoints from the current time to the most frequent time period is used as the reminding time length to be sent out, so that the automation level of parking space management is improved.
Description
Technical Field
The invention relates to the field of image analysis, in particular to an automatic image data analysis platform.
Background
Image analysis generally utilizes mathematical models in conjunction with image processing techniques to analyze underlying features and overlying structures to extract information with some intelligence. Image analysis is a technology for analyzing, describing, classifying and interpreting a scene by a mode recognition and artificial intelligence method, which is also called scene analysis or image understanding.
Since the 60's of the 20 th century, there have been many studies on image analysis, and the development of image analysis techniques for specific problems and applications has gradually moved toward the establishment of general theories. The image analysis is closely related to the research content of image processing, computer graphics and the like, and is mutually crossed and overlapped. But image processing mainly studies image transmission, storage, enhancement and restoration; the method for representing the main points, lines, faces and volumes of computer graphics and the method for displaying visual information; the image analysis focuses on a description method for constructing images, and more particularly, symbols are used for representing various images, rather than calculating the images and carrying out reasoning by using various related knowledge. Image analysis is also germane to research on human vision, where research on certain recognizable modules in human vision mechanisms may facilitate the improvement of computer vision (machine vision).
Disclosure of Invention
The invention has at least the following key invention points:
(1) receiving a time record of each time when the owner of the parking space gets in or out of the parking lot, and counting and updating the most frequent time period when the owner of the parking space does not historically get in or out of the parking lot based on the time record of each time when the owner of the parking space gets in or out of the parking lot;
(2) when the similarity between the outline of the current vehicle in the parking space and the outline of the owner is low and the current time is not in the most frequent time period, sending a vehicle moving alarm signal, and when the similarity between the outline of the current vehicle in the parking space and the outline of the owner is low and the current time is in the most frequent time period, keeping the parking charging operation on the vehicle in the parking space and sending the time length from the current time to the nearest time end point of the two time end points of the most frequent time period as a reminding time length, thereby improving the automation level of parking space management;
(3) on the basis of homomorphic filtering processing, an edge enhancement processing mechanism of different strategies is executed on each component sub-image of the image based on different real-time frame rates of the image, so that the orientation capability of the edge enhancement processing of the image is improved.
According to an aspect of the present invention, there is provided an automated image data parsing platform, the platform comprising: a DRAM storage device disposed at one side of a parking space for storing a most frequent time period during which a vehicle of a owner of the parking space is historically not in the parking space.
More specifically, in the automated image data parsing platform, the platform further comprises: and the wireless downloading equipment is connected with a parking server in a remote control room and is used for receiving the time record of each time of the owner's vehicle entering and exiting the parking lot at the parking space.
More specifically, in the automated image data parsing platform: the wireless download device also counts and updates the most frequent time period during which the owner's vehicle is historically not in the parking space based on the time record of each entrance and exit of the owner's vehicle into the parking space.
More specifically, in the automated image data parsing platform: the wireless downloading device is further connected with the DRAM storage device and used for sending the updated most frequent time period that the owner of the parking space is not on the parking space historically to the DRAM storage device.
More specifically, in the automated image data parsing platform, the platform further comprises: the timing equipment is arranged on one side of the parking space and used for providing the current time; the contour detection device is connected with the histogram equalization device and is used for sending out a contour qualified signal when the similarity between the contour of the vehicle with the shallowest depth of field in the histogram equalization image and the preset contour of the owner vehicle is out of limit, or sending out a contour unqualified signal; the DSP processing chip is respectively connected with the contour detection device, the timing device and the DRAM storage device and is used for sending out a vehicle moving alarm signal when receiving a contour unqualified signal and the current time is not in the most frequent time period, and keeping parking charging operation on the vehicle in the parking space when receiving the contour unqualified signal and the current time is in the most frequent time period; and the DSP processing chip is also used for sending out the time length of the nearest time endpoint in the two time endpoints from the current time to the most frequent time period as a reminding time length when the unqualified contour signal is received and the current time is in the most frequent time period.
The automatic image data analysis platform is reasonable in design and has a certain automation level. Because the similarity between the profile of the current vehicle in the parking space and the profile of the owner is low and the current time is in the most frequent time period when the vehicle of the owner is not in the parking space, the parking charging operation of the vehicle in the parking space is kept and the time length of the nearest time endpoint in the two time endpoints from the current time to the most frequent time period is used as the reminding time length to be sent out, so that the automation level of parking space management is improved.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural diagram of a monitoring capture device of an automated image data parsing platform according to an embodiment of the present invention.
Detailed Description
Embodiments of an automated image data parsing platform according to the present invention will be described in detail below with reference to the accompanying drawings.
In many areas of modern science and technology, automatic control technology plays an increasingly important role. Automatic control means that a certain operating state or parameter (i.e., controlled quantity) of a machine, equipment or a production process (collectively referred to as a controlled object) automatically operates according to a predetermined rule by using an additional device or apparatus (referred to as a control apparatus or a controller) without human intervention.
The automatic control theory is a technical science for researching the common law of automatic control. In the initial development stage, the automatic regulation principle based on the feedback theory is mainly used for industrial control, and in the second war period, the development of the automatic control theory is further promoted and perfected in order to design and manufacture automatic pilots for airplanes and ships, artillery positioning systems, radar tracking systems and other military equipment based on the feedback principle. After two war, a complete automatic control theory system is formed, which is a classical control theory based on a transfer function, and the system mainly researches analysis and design problems of a single-input single-output linear constant system.
In the prior art, an effective automatic mechanism is lacked in the management and control of the parking space, so that the similarity between the profile of the current vehicle in the parking space and the profile of the vehicle of an owner cannot be judged, and effective and reasonable parking charging operation cannot be implemented on non-owner vehicles in the parking space, thereby causing the waste of parking resources to a certain extent.
In order to overcome the defects, the invention builds an automatic image data analysis platform, and can effectively solve the corresponding technical problem.
An automated image data parsing platform shown according to an embodiment of the present invention includes:
a DRAM storage device disposed at one side of a parking space for storing a most frequent time period during which a vehicle of a owner of the parking space is historically not in the parking space.
Next, a detailed configuration of the automated image data analysis platform according to the present invention will be further described.
The automated image data parsing platform can further comprise:
and the wireless downloading equipment is connected with a parking server in a remote control room and is used for receiving the time record of each time of the owner's vehicle entering and exiting the parking lot at the parking space.
In the automated image data parsing platform:
the wireless download device also counts and updates the most frequent time period during which the owner's vehicle is historically not in the parking space based on the time record of each entrance and exit of the owner's vehicle into the parking space.
In the automated image data parsing platform:
the wireless downloading device is further connected with the DRAM storage device and used for sending the updated most frequent time period that the owner of the parking space is not on the parking space historically to the DRAM storage device.
The automated image data parsing platform can further comprise:
the timing equipment is arranged on one side of the parking space and used for providing the current time;
the contour detection device is connected with the histogram equalization device and is used for sending out a contour qualified signal when the similarity between the contour of the vehicle with the shallowest depth of field in the histogram equalization image and the preset contour of the owner vehicle is out of limit, or sending out a contour unqualified signal;
the DSP processing chip is respectively connected with the contour detection device, the timing device and the DRAM storage device and is used for sending out a vehicle moving alarm signal when receiving a contour unqualified signal and the current time is not in the most frequent time period, and keeping parking charging operation on the vehicle in the parking space when receiving the contour unqualified signal and the current time is in the most frequent time period;
the DSP processing chip is also used for sending out the time length of the nearest time end point of the two time end points from the current time to the most frequent time period as a reminding time length when the unqualified contour signal is received and the current time is in the most frequent time period;
the LCD display device is connected with the DSP processing chip and used for receiving and displaying the reminding duration;
as shown in fig. 1, the monitoring and capturing device is disposed on a beam above a parking space, and is configured to perform an image capturing operation facing the parking space to obtain and output an instant captured image, where 1 is an indicator light, 2 is a focus adjusting knob, and 3 is a housing;
the parameter identification device is connected with the monitoring capture device and used for receiving the instant capture image and identifying the frame rate of an image sequence where the instant capture image is located so as to obtain and output a corresponding real-time frame rate;
the signal sending equipment is connected with the parameter identification equipment and used for receiving the real-time frame rate and sending a first trigger command when the real-time frame rate exceeds a preset frame rate threshold value;
the signal sending equipment is further used for sending a second trigger command when the real-time frame rate is lower than or equal to the preset frame rate threshold;
the homomorphic filtering equipment is connected with the signal sending equipment and used for starting to receive the instant capture image when receiving the first trigger command and executing homomorphic filtering processing on the instant capture image to obtain a homomorphic filtering image;
the data identification equipment is connected with the homomorphic filtering equipment and used for receiving the homomorphic filtering image, adjusting the edge enhancement processing strength of the L component sub-image in the homomorphic filtering image LAB space based on a real-time frame rate, adjusting the edge enhancement processing strength of the A component sub-image in the homomorphic filtering image LAB space based on the real-time frame rate and adjusting the edge enhancement processing strength of the B component sub-image in the homomorphic filtering image LAB space based on the real-time frame rate;
the self-adaptive processing equipment is connected with the data identification equipment and is used for parallelly executing edge enhancement processing of respective edge enhancement processing strength on the L component sub-image, the A component sub-image and the B component sub-image in the homomorphic filtering image LAB space so as to obtain a corresponding self-adaptive processing image;
a histogram equalization device for receiving the adaptive processing image, performing histogram equalization processing on the adaptive processing image to obtain and output a histogram equalization image;
in the data identification device, the degree of change of the edge enhancement processing intensity of the L component sub-image along with the real-time frame rate is the same as the degree of change of the edge enhancement processing intensity of the A component sub-image along with the real-time frame rate;
in the data identification device, the degree of change of the edge enhancement processing intensity of the B component sub-image along with the real-time frame rate is lower than that of the edge enhancement processing intensity of the L component sub-image along with the real-time frame rate;
in the data identification equipment, the real-time frame rate is in direct proportion to the edge enhancement processing strength of the L component sub-image in the homomorphic filtering image LAB space, the real-time frame rate is in direct proportion to the edge enhancement processing strength of the A component sub-image in the homomorphic filtering image LAB space, and the real-time frame rate is in direct proportion to the edge enhancement processing strength of the B component sub-image in the homomorphic filtering image LAB space.
In the automated image data parsing platform:
the homomorphic filtering device is further configured to stop receiving the live captured image upon receiving the second trigger command.
The automated image data parsing platform can further comprise:
the dust removal processing equipment is arranged on one side of the contour detection equipment, is respectively connected with the contour detection equipment and the PAL control device, and is used for determining the corresponding dust removal processing intensity according to the instant dust density when the received instant dust density is more than or equal to a preset dust density threshold;
and the density identification device comprises a plurality of density detection units which are respectively connected with the contour detection device, the histogram equalization device and the current unused suspension pins of the DSP processing chip so as to obtain the current dust density of the current unused suspension pins of the contour detection device, the current dust density of the current unused suspension pins of the histogram equalization device and the current dust density of the current unused suspension pins of the DSP processing chip.
The automated image data parsing platform can further comprise:
a PAL control device connected with the density identification device and used for receiving the current dust density of the current unused suspension pin of the contour detection device, the current dust density of the current unused suspension pin of the histogram equalization device and the current dust density of the current unused suspension pin of the DSP processing chip, and performing weighted mean operation on the current dust density of the current unused suspension pin of the contour detection device, the current dust density of the current unused suspension pin of the histogram equalization device and the current dust density of the current unused suspension pin of the DSP processing chip to obtain a reference pin dust density, wherein the PAL control device is also used for multiplying the obtained reference pin dust density by a weighing factor to obtain the instant dust density of the scene where the contour detection device is located;
wherein said DRAM memory device is further connected to said PAL control device for pre-storing said trade-off factors;
the dust removal processing equipment is also used for executing dust removal processing on the environment where the contour detection equipment is located based on the intensity of the dust removal processing;
in the DRAM storage device, the current dust density of the currently unused suspension pins of the contour detection device, the current dust density of the currently unused suspension pins of the histogram equalization device and the current dust density of the currently unused suspension pins of the DSP processing chip respectively participate in three weighted values with different sizes in weighted mean calculation;
the DRAM storage device is further used for storing in advance three weight values of current dust density of currently unused suspension pins of the contour detection device, current dust density of currently unused suspension pins of the histogram equalization device, and current dust density of currently unused suspension pins of the DSP processing chip, which respectively participate in weighted mean calculation.
In addition, dram (dynamic Random Access memory), which is a dynamic Random Access memory, is the most common system memory. DRAM can hold data only for a short time. To retain data, DRAM uses capacitive storage, so must be refreshed (refresh) once at intervals, and if the memory cells are not refreshed, the stored information is lost. (shutdown will lose data). Dynamic RAM is also comprised of a number of basic memory cells multiplexed by row and column address pins. The structure of the DRAM is simple and efficient, and each bit only needs one transistor and one capacitor. However, the capacitance inevitably has leakage phenomenon, which causes data error if the charge is insufficient, and therefore, the capacitance must be periodically refreshed (precharged), which is also a big feature of the DRAM. Moreover, the charging and discharging of the capacitor requires a process, and the refresh frequency cannot be raised infinitely (frequency barrier), which results in that the frequency of the DRAM can easily reach the upper limit, and even if the advanced process is supported, the effect is very small. With the advancement of technology and the desire of people to overclock, these frequency barriers are being solved slowly.
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 (8)
1. An automated image data parsing platform, the platform comprising:
a DRAM storage device disposed at one side of a parking space for storing a most frequent time period during which a vehicle of a owner of the parking space is historically not in the parking space.
2. The automated image data parsing platform of claim 1 wherein the platform further comprises:
and the wireless downloading equipment is connected with a parking server in a remote control room and is used for receiving the time record of each time of the owner's vehicle entering and exiting the parking lot at the parking space.
3. The automated image data parsing platform of claim 2 wherein:
the wireless download device also counts and updates the most frequent time period during which the owner's vehicle is historically not in the parking space based on the time record of each entrance and exit of the owner's vehicle into the parking space.
4. The automated image data parsing platform of claim 3 wherein:
the wireless downloading device is further connected with the DRAM storage device and used for sending the updated most frequent time period that the owner of the parking space is not on the parking space historically to the DRAM storage device.
5. The automated image data parsing platform of claim 4 wherein the platform further comprises:
the timing equipment is arranged on one side of the parking space and used for providing the current time;
the contour detection device is connected with the histogram equalization device and is used for sending out a contour qualified signal when the similarity between the contour of the vehicle with the shallowest depth of field in the histogram equalization image and the preset contour of the owner vehicle is out of limit, or sending out a contour unqualified signal;
the DSP processing chip is respectively connected with the contour detection device, the timing device and the DRAM storage device and is used for sending out a vehicle moving alarm signal when receiving a contour unqualified signal and the current time is not in the most frequent time period, and keeping parking charging operation on the vehicle in the parking space when receiving the contour unqualified signal and the current time is in the most frequent time period;
the DSP processing chip is also used for sending out the time length of the nearest time end point of the two time end points from the current time to the most frequent time period as a reminding time length when the unqualified contour signal is received and the current time is in the most frequent time period;
the LCD display device is connected with the DSP processing chip and used for receiving and displaying the reminding duration;
the monitoring and capturing device is arranged on a cross beam above the parking space and used for carrying out image capturing operation on the cross beam facing the parking space so as to obtain and output an instant captured image;
the parameter identification device is connected with the monitoring capture device and used for receiving the instant capture image and identifying the frame rate of an image sequence where the instant capture image is located so as to obtain and output a corresponding real-time frame rate;
the signal sending equipment is connected with the parameter identification equipment and used for receiving the real-time frame rate and sending a first trigger command when the real-time frame rate exceeds a preset frame rate threshold value;
the signal sending equipment is further used for sending a second trigger command when the real-time frame rate is lower than or equal to the preset frame rate threshold;
the homomorphic filtering equipment is connected with the signal sending equipment and used for starting to receive the instant capture image when receiving the first trigger command and executing homomorphic filtering processing on the instant capture image to obtain a homomorphic filtering image;
the data identification equipment is connected with the homomorphic filtering equipment and used for receiving the homomorphic filtering image, adjusting the edge enhancement processing strength of the L component sub-image in the homomorphic filtering image LAB space based on a real-time frame rate, adjusting the edge enhancement processing strength of the A component sub-image in the homomorphic filtering image LAB space based on the real-time frame rate and adjusting the edge enhancement processing strength of the B component sub-image in the homomorphic filtering image LAB space based on the real-time frame rate;
the self-adaptive processing equipment is connected with the data identification equipment and is used for parallelly executing edge enhancement processing of respective edge enhancement processing strength on the L component sub-image, the A component sub-image and the B component sub-image in the homomorphic filtering image LAB space so as to obtain a corresponding self-adaptive processing image;
a histogram equalization device for receiving the adaptive processing image, performing histogram equalization processing on the adaptive processing image to obtain and output a histogram equalization image;
in the data identification device, the degree of change of the edge enhancement processing intensity of the L component sub-image along with the real-time frame rate is the same as the degree of change of the edge enhancement processing intensity of the A component sub-image along with the real-time frame rate;
in the data identification device, the degree of change of the edge enhancement processing intensity of the B component sub-image along with the real-time frame rate is lower than that of the edge enhancement processing intensity of the L component sub-image along with the real-time frame rate;
in the data identification equipment, the real-time frame rate is in direct proportion to the edge enhancement processing strength of the L component sub-image in the homomorphic filtering image LAB space, the real-time frame rate is in direct proportion to the edge enhancement processing strength of the A component sub-image in the homomorphic filtering image LAB space, and the real-time frame rate is in direct proportion to the edge enhancement processing strength of the B component sub-image in the homomorphic filtering image LAB space.
6. The automated image data parsing platform of claim 5 wherein:
the homomorphic filtering device is further configured to stop receiving the live captured image upon receiving the second trigger command.
7. The automated image data parsing platform of claim 6 wherein the platform further comprises:
the dust removal processing equipment is arranged on one side of the contour detection equipment, is respectively connected with the contour detection equipment and the PAL control device, and is used for determining the corresponding dust removal processing intensity according to the instant dust density when the received instant dust density is more than or equal to a preset dust density threshold;
and the density identification device comprises a plurality of density detection units which are respectively connected with the contour detection device, the histogram equalization device and the current unused suspension pins of the DSP processing chip so as to obtain the current dust density of the current unused suspension pins of the contour detection device, the current dust density of the current unused suspension pins of the histogram equalization device and the current dust density of the current unused suspension pins of the DSP processing chip.
8. The automated image data parsing platform of claim 7 wherein the platform further comprises:
a PAL control device connected with the density identification device and used for receiving the current dust density of the current unused suspension pin of the contour detection device, the current dust density of the current unused suspension pin of the histogram equalization device and the current dust density of the current unused suspension pin of the DSP processing chip, and performing weighted mean operation on the current dust density of the current unused suspension pin of the contour detection device, the current dust density of the current unused suspension pin of the histogram equalization device and the current dust density of the current unused suspension pin of the DSP processing chip to obtain a reference pin dust density, wherein the PAL control device is also used for multiplying the obtained reference pin dust density by a weighing factor to obtain the instant dust density of the scene where the contour detection device is located;
wherein said DRAM memory device is further connected to said PAL control device for pre-storing said trade-off factors;
the dust removal processing equipment is also used for executing dust removal processing on the environment where the contour detection equipment is located based on the intensity of the dust removal processing;
in the DRAM storage device, the current dust density of the currently unused suspension pins of the contour detection device, the current dust density of the currently unused suspension pins of the histogram equalization device and the current dust density of the currently unused suspension pins of the DSP processing chip respectively participate in three weighted values with different sizes in weighted mean calculation;
the DRAM storage device is further used for storing in advance three weight values of current dust density of currently unused suspension pins of the contour detection device, current dust density of currently unused suspension pins of the histogram equalization device, and current dust density of currently unused suspension pins of the DSP processing chip, which respectively participate in weighted mean calculation.
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| KR20180101648A (en) * | 2017-02-07 | 2018-09-13 | (주)미래엔씨티 | Sharing system for individual parking zone Smart human body counter |
| CN109118450A (en) * | 2018-08-20 | 2019-01-01 | 电子科技大学 | A kind of low-quality images Enhancement Method under the conditions of dust and sand weather |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| KR20180101648A (en) * | 2017-02-07 | 2018-09-13 | (주)미래엔씨티 | Sharing system for individual parking zone Smart human body counter |
| CN107103781A (en) * | 2017-06-02 | 2017-08-29 | 福建省南盛网络科技有限公司 | Shared parking stall method of servicing and system based on Internet of Things |
| CN108429738A (en) * | 2018-02-11 | 2018-08-21 | 中车青岛四方机车车辆股份有限公司 | A kind of data analysis method and analyzing platform |
| CN109118450A (en) * | 2018-08-20 | 2019-01-01 | 电子科技大学 | A kind of low-quality images Enhancement Method under the conditions of dust and sand weather |
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