CN110992419B - Target big data occupied area detection platform and method - Google Patents
Target big data occupied area detection platform and method Download PDFInfo
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Abstract
The invention relates to a target occupation area detection platform, which comprises: the content grabbing equipment is used for grabbing certificate photos taken of people and outputting the certificate photos as to-be-processed photos; the signal-to-noise ratio analysis equipment is connected with the content capture equipment and is used for measuring the signal-to-noise ratio of the photo to be processed so as to obtain and output a corresponding current signal-to-noise ratio; and the macro block extraction device is used for performing average macro block processing on the photo to be processed based on the current signal-to-noise ratio to obtain each image macro block, wherein the smaller the current signal-to-noise ratio is, the larger each image macro block obtained by performing average macro block processing on the photo to be processed is. The invention also relates to a target occupied area detection method. The target occupied area detection platform and the target occupied area detection method are convenient to operate and effective in reminding. Whether the requirement of the certificate photo is met is determined according to the area proportion occupied by the human face in the certificate photo, so that an artificial naked eye detection mode is replaced.
Description
Technical Field
The invention relates to the field of digital signals, in particular to a platform and a method for detecting the occupied area of target big data.
Background
A digital signal means that the independent variable is a discrete, dependent variable is also a discrete signal, the independent variable of such a signal is represented by an integer, and the dependent variable is represented by one of finite numbers. In computers, the magnitude of a digital signal is often represented by a binary number with a limit.
It has not been noticed in the information age that we are surrounded by a variety of signals at all times, the nature of which is to represent the physical quantity of a message, as in a common sinusoidal electrical signal, if it is of different amplitude, different frequency, or different phase, representing different messages. The data carried by the signal may represent any information in the real physical world, such as text symbols, voice images, etc., and the signal may be divided into: analog signals and digital signals.
Digital signals are signals described by a set of special states, typically represented by the most common binary digits, and are represented by binary digits, the fundamental reason being that a circuit can only represent two states, namely on and off. In actual digital signal transmission, a certain range of information change is generally classified into a state 0 or a state 1, and the state setting greatly improves the noise resistance of the digital signal. Moreover, in the aspects of confidentiality, interference resistance, transmission quality and the like, the digital signals are better than the analog signals, and the signal transmission channel resources are saved more.
Disclosure of Invention
The invention at least needs to have the following two key points:
(1) determining whether the requirement of the certificate photo is met according to the area proportion occupied by the human face in the certificate photo, thereby replacing an artificial naked eye detection mode;
(2) and adding the maximum value and the minimum value of the parameters of the selected representative image macro block and dividing the sum by 2 to obtain the parameters capable of processing the whole image, thereby improving the efficiency of image processing.
According to an aspect of the present invention, there is provided a target footprint detection platform, the platform comprising: the content grabbing equipment is used for grabbing certificate photos taken of people and outputting the certificate photos as to-be-processed photos; the signal-to-noise ratio analysis equipment is connected with the content capture equipment and used for receiving the photo to be processed and measuring the signal-to-noise ratio of the photo to be processed so as to obtain and output a corresponding current signal-to-noise ratio; the macro block extraction device is connected with the signal-to-noise ratio analysis device and used for performing average macro block processing on the photo to be processed based on the current signal-to-noise ratio to obtain each image macro block, wherein the smaller the current signal-to-noise ratio is, the larger each image macro block obtained by performing average macro block processing on the photo to be processed is; the macro block selection device is connected with the macro block extraction device and used for receiving each image macro block of the photo to be processed and drawing the maximum parallelogram in the photo to be processed so as to output the image macro block through which the maximum parallelogram passes as a reference image macro block; and the brightness analysis device is connected with the macro block selection device and used for distinguishing each brightness value of each reference image macro block in the photo to be processed, adding the maximum value and the minimum value of each brightness value and dividing the sum by 2 to obtain a brightness value to be analyzed.
According to another aspect of the present invention, there is also provided a target occupied area detection method, the method including: using content grabbing equipment for grabbing certificate photos taken of people to be output as photos to be processed; using a signal-to-noise ratio analysis device, connecting with the content capture device, and receiving the photo to be processed, and measuring the signal-to-noise ratio of the photo to be processed to obtain and output a corresponding current signal-to-noise ratio; using a macro block extraction device connected with the SNR analysis device, for performing average macro block processing on the photo to be processed based on the current SNR to obtain each image macro block, wherein the smaller the current SNR is, the larger each image macro block obtained by performing average macro block processing on the photo to be processed is; using a macro block selection device connected with the macro block extraction device and used for receiving each image macro block of the photo to be processed, and drawing a maximum parallelogram in the photo to be processed so as to output an image macro block through which the maximum parallelogram passes as a reference image macro block; and using a brightness analysis device connected with the macro block selection device for distinguishing each brightness value of each reference image macro block in the photo to be processed, adding the maximum value and the minimum value of each brightness value, and dividing by 2 to obtain a brightness value to be analyzed.
The target occupied area detection platform and the target occupied area detection method are convenient to operate and effective in reminding. Whether the requirement of the certificate photo is met is determined according to the area proportion occupied by the human face in the certificate photo, so that an artificial naked eye detection mode is replaced.
Detailed Description
Embodiments of the subject footprint detection platforms and methods of the present invention are described in detail below.
A certificate photo is a photo used for proving identity on various certificates. The certificate photo is a crown-free (without a hat) front photo, the outline of two ears of a person and a position corresponding to the position of a laryngeal knot of a man are normally seen on the photo, the background colors are red, blue and white, and the size is one inch or two inches.
The special single-reflecting (collimating) cover is used for taking pictures and other photos, special flash lamp, flash lamp holder and blue-white-red three-colour background cloth. The special flash lamp holder for shooting standard photos adopts an integrated lamp holder integrating four synchronous flash lamps of main light, auxiliary light, light emitting and background light, all-metal steel, reasonably utilizes space and is detachably mounted. The lamp bracket fixes the distance of light taking, can change the angle of lighting, and becomes a standard imaging system for professional photography with accurate light quantity output, ideal color temperature value, portability and high reliability, is suitable for professional collection imaging of vast photo studios, photo buildings, personal studios, photo sheds and the like, and the requirements of professional photography high-speed synchronization are met for shooting certificate photos, standard photos, image photos and the like, meanwhile, the sharpness and the resolution of photos are effectively improved, and a brand new boundary of light use is promoted.
At present, people often find that the proportion of the face of a human body occupying the photo is large or small when the human body face occupies the photo, the large proportion causes the effect of the large photo of the certificate photo and is not sufficient, the small proportion causes the details of the face to be not clear, the photo is possibly rejected by an authentication department, the proportion of the face of the human body occupying the photo is adjusted in a naked-eye manual mode at present, and the obvious accuracy is not sufficient.
In order to overcome the defects, the invention builds a target occupied area detection platform and a method, and can effectively solve the corresponding technical problem.
A target footprint detection platform, particularly a target big data footprint detection platform, shown according to an embodiment of the present invention comprises:
the content grabbing equipment is used for grabbing certificate photos taken of people and outputting the certificate photos as to-be-processed photos;
the signal-to-noise ratio analysis equipment is connected with the content capture equipment and used for receiving the photo to be processed and measuring the signal-to-noise ratio of the photo to be processed so as to obtain and output a corresponding current signal-to-noise ratio;
the macro block extraction device is connected with the signal-to-noise ratio analysis device and used for performing average macro block processing on the photo to be processed based on the current signal-to-noise ratio to obtain each image macro block, wherein the smaller the current signal-to-noise ratio is, the larger each image macro block obtained by performing average macro block processing on the photo to be processed is;
the macro block selection device is connected with the macro block extraction device and used for receiving each image macro block of the photo to be processed and drawing the maximum parallelogram in the photo to be processed so as to output the image macro block through which the maximum parallelogram passes as a reference image macro block;
the brightness analysis device is connected with the macro block selection device and used for distinguishing each brightness value of each reference image macro block in the photo to be processed, and the maximum value and the minimum value of each brightness value are added and then divided by 2 to obtain a brightness value to be analyzed;
the content adjusting device is connected with the brightness analyzing device and used for executing brightness enhancement processing on the photo to be processed by taking the brightness value to be analyzed as the integral brightness value of the photo to be processed so as to obtain and output a corresponding instant adjusting image;
the data analysis equipment is connected with the content adjustment equipment and used for receiving the instant adjustment image and taking pixel points of which the blue component values in the instant adjustment image fall between the upper limit blue component threshold value of the face and the lower limit blue component threshold value of the face as face pixel points;
the proportion identification device is connected with the data analysis device and used for acquiring the total number of pixel points of the instant adjustment image and dividing the total number of face pixel points in the instant adjustment image by the total number of pixel points of the instant adjustment image to obtain a face occupation proportion;
the MCU control chip is connected with the proportion identification device and used for sending an area standard reaching instruction when the face occupation proportion is between a first preset proportion and a second preset proportion and sending an area non-standard reaching instruction when the face occupation proportion is out of the first preset proportion and the second preset proportion;
the real-time display equipment is connected with the MCU control chip and is used for displaying the character information corresponding to the rephotography in real time when receiving an area substandard instruction;
the content adjusting device comprises a parameter receiving sub-device, an instant processing sub-device and an image output sub-device;
the parameter receiving sub-device is used for receiving the brightness value to be analyzed, and the immediate processing sub-device is used for performing brightness enhancement processing on the photo to be processed by taking the brightness value to be analyzed as the integral brightness value of the photo to be processed;
wherein, taking the brightness value to be analyzed as the overall brightness value of the photo to be processed to execute brightness enhancement processing on the photo to be processed comprises: the lower the brightness value to be analyzed is, the larger the amplitude of brightness enhancement processing performed on the photo to be processed is;
the image output sub-equipment is connected with the instant processing sub-equipment and is used for obtaining and outputting a corresponding instant adjusting image.
Next, a detailed description of the structure of the target occupied area detection stage of the present invention will be further described.
In the target footprint detection stage:
the MCU control chip is also used for sending out a signal with a small area when the face occupation proportion is smaller than a first preset proportion.
In the target footprint detection platform:
the MCU control chip is also used for sending out an area larger signal when the face occupation ratio is larger than a second preset ratio.
In the target footprint detection platform:
in the MCU control chip, the second preset proportion is larger than the first preset proportion.
In the target footprint detection platform:
the real-time display equipment is also used for displaying the text information corresponding to the signal with the small area or the signal with the large area in real time when the signal with the small area or the signal with the large area is received.
The target occupation area detection method, particularly the target big data occupation area detection method, shown according to the embodiment of the invention comprises the following steps:
using content grabbing equipment for grabbing certificate photos taken of people to be output as photos to be processed;
using a signal-to-noise ratio analysis device, connecting with the content capture device, and receiving the photo to be processed, and measuring the signal-to-noise ratio of the photo to be processed to obtain and output a corresponding current signal-to-noise ratio;
using a macro block extraction device connected with the SNR analysis device, for performing average macro block processing on the photo to be processed based on the current SNR to obtain each image macro block, wherein the smaller the current SNR is, the larger each image macro block obtained by performing average macro block processing on the photo to be processed is;
using a macro block selection device connected with the macro block extraction device and used for receiving each image macro block of the photo to be processed, and drawing a maximum parallelogram in the photo to be processed so as to output an image macro block through which the maximum parallelogram passes as a reference image macro block;
using a brightness analysis device connected with the macro block selection device for identifying each brightness value of each reference image macro block in the photo to be processed, adding the maximum value and the minimum value of each brightness value, and dividing by 2 to obtain a brightness value to be analyzed;
the content adjusting device is connected with the brightness analyzing device and used for executing brightness enhancement processing on the photo to be processed by taking the brightness value to be analyzed as the integral brightness value of the photo to be processed so as to obtain and output a corresponding instant adjusting image;
the data analysis equipment is connected with the content adjustment equipment and used for receiving the instant adjustment image and taking pixel points of which the blue component values in the instant adjustment image fall between the upper limit blue component threshold value of the face and the lower limit blue component threshold value of the face as face pixel points;
using a proportion identification device connected with the data analysis device and used for acquiring the total number of pixel points of the instant adjustment image and dividing the total number of face pixel points in the instant adjustment image by the total number of pixel points of the instant adjustment image to obtain a face occupation proportion;
the MCU control chip is connected with the proportion identification equipment and used for sending an area standard reaching instruction when the face occupation proportion is between a first preset proportion and a second preset proportion and sending an area non-standard reaching instruction when the face occupation proportion is out of the first preset proportion and the second preset proportion;
using real-time display equipment, connecting with the MCU control chip, and displaying the character information corresponding to the rephotography in real time when receiving an area substandard instruction;
the content adjusting device comprises a parameter receiving sub-device, an instant processing sub-device and an image output sub-device;
the parameter receiving sub-device is used for receiving the brightness value to be analyzed, and the immediate processing sub-device is used for performing brightness enhancement processing on the photo to be processed by taking the brightness value to be analyzed as the integral brightness value of the photo to be processed;
wherein, taking the brightness value to be analyzed as the overall brightness value of the photo to be processed to execute brightness enhancement processing on the photo to be processed comprises: the lower the brightness value to be analyzed is, the larger the amplitude of brightness enhancement processing performed on the photo to be processed is;
the image output sub-equipment is connected with the instant processing sub-equipment and is used for obtaining and outputting a corresponding instant adjusting image.
Next, the specific steps of the target occupied area detection method of the present invention will be further described.
In the target occupation area detection method:
the MCU control chip is also used for sending out a signal with a small area when the face occupation proportion is smaller than a first preset proportion.
In the target occupation area detection method:
the MCU control chip is also used for sending out an area larger signal when the face occupation ratio is larger than a second preset ratio.
In the target occupation area detection method:
in the MCU control chip, the second preset proportion is larger than the first preset proportion.
In the target occupation area detection method:
the real-time display equipment is also used for displaying the text information corresponding to the signal with the small area or the signal with the large area in real time when the signal with the small area or the signal with the large area is received.
In addition, a Micro Control Unit (MCU), also called a Single Chip Microcomputer (Single Chip Microcomputer) or a Single Chip Microcomputer (MCU), properly reduces the frequency and specification of a Central Processing Unit (CPU), and integrates peripheral interfaces such as a memory (memory), a counter (Timer), a USB, an a/D converter, a UART, a PLC, a DMA, and the like, and even an LCD driving circuit on a Single Chip to form a Chip-level computer, which performs different combination control for different applications. Such as mobile phones, PC peripherals, remote controls, to automotive electronics, industrial stepper motors, robotic arm controls, etc., see the silhouette of the MCU. The 32-bit MCU can be said to be the mainstream of the MCU market, the price of a single MCU is between 1.5 and 4 dollars, the working frequency is mostly between 100 and 350MHz, the execution efficiency is better, and the application types are also multiple. However, the length of the program code with the same function of the 32-bit MCU is increased by 30-40% compared with that of the 8/16-bit MCU due to the increase of the operand and the length of the memory, which causes that the capacity of the embedded OTP/FlashROM memory cannot be too small, and the number of external pins of the chip is greatly increased, thereby further limiting the cost reduction capability of the 32-bit MCU.
Finally, it should be noted that each functional device in the embodiments of the present invention may be integrated into one processing device, or each device may exist alone physically, or two or more devices may be integrated into one device.
The functions, if implemented in the form of software-enabled devices and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. A target footprint detection platform, said platform comprising:
the content grabbing equipment is used for grabbing certificate photos taken of people and outputting the certificate photos as to-be-processed photos;
the signal-to-noise ratio analysis equipment is connected with the content capture equipment and used for receiving the photo to be processed and measuring the signal-to-noise ratio of the photo to be processed so as to obtain and output a corresponding current signal-to-noise ratio;
the macro block extraction device is connected with the signal-to-noise ratio analysis device and used for performing average macro block processing on the photo to be processed based on the current signal-to-noise ratio to obtain each image macro block, wherein the smaller the current signal-to-noise ratio is, the larger each image macro block obtained by performing average macro block processing on the photo to be processed is;
the macro block selection device is connected with the macro block extraction device and used for receiving each image macro block of the photo to be processed and drawing the maximum parallelogram in the photo to be processed so as to output the image macro block through which the maximum parallelogram passes as a reference image macro block;
the brightness analysis device is connected with the macro block selection device and used for distinguishing each brightness value of each reference image macro block in the photo to be processed, and the maximum value and the minimum value of each brightness value are added and then divided by 2 to obtain a brightness value to be analyzed;
the content adjusting device is connected with the brightness analyzing device and used for executing brightness enhancement processing on the photo to be processed by taking the brightness value to be analyzed as the integral brightness value of the photo to be processed so as to obtain and output a corresponding instant adjusting image;
the data analysis equipment is connected with the content adjustment equipment and used for receiving the instant adjustment image and taking pixel points of which the blue component values in the instant adjustment image fall between the upper limit blue component threshold value of the face and the lower limit blue component threshold value of the face as face pixel points;
the proportion identification device is connected with the data analysis device and used for acquiring the total number of pixel points of the instant adjustment image and dividing the total number of face pixel points in the instant adjustment image by the total number of pixel points of the instant adjustment image to obtain a face occupation proportion;
the MCU control chip is connected with the proportion identification device and used for sending an area standard reaching instruction when the face occupation proportion is between a first preset proportion and a second preset proportion and sending an area non-standard reaching instruction when the face occupation proportion is out of the first preset proportion and the second preset proportion;
the real-time display equipment is connected with the MCU control chip and is used for displaying the character information corresponding to the rephotography in real time when receiving an area substandard instruction;
the content adjusting device comprises a parameter receiving sub-device, an instant processing sub-device and an image output sub-device;
the parameter receiving sub-device is used for receiving the brightness value to be analyzed, and the immediate processing sub-device is used for performing brightness enhancement processing on the photo to be processed by taking the brightness value to be analyzed as the integral brightness value of the photo to be processed;
wherein, taking the brightness value to be analyzed as the overall brightness value of the photo to be processed to execute brightness enhancement processing on the photo to be processed comprises: the lower the brightness value to be analyzed is, the larger the amplitude of brightness enhancement processing performed on the photo to be processed is;
the image output sub-equipment is connected with the instant processing sub-equipment and is used for obtaining and outputting a corresponding instant adjusting image;
the MCU control chip is also used for sending out a signal with a small area when the face occupation proportion is smaller than a first preset proportion;
the MCU control chip is also used for sending out an area larger signal when the face occupation ratio is larger than a second preset ratio;
in the MCU control chip, the MCU, namely a micro control unit, also called a single chip microcomputer or a single chip microcomputer, reduces the frequency and specification of a central processing unit, integrates a memory, a counter, a USB, an A/D conversion circuit and an LCD drive circuit on a single chip to form a chip-level computer, performs different combination control for different application occasions, and the working frequency of the 32-bit MCU is between 100 and 350 MHz.
2. The target footprint detection platform of claim 1, wherein:
in the MCU control chip, the second preset proportion is larger than the first preset proportion.
3. The target footprint detection platform of claim 2, wherein:
the real-time display equipment is also used for displaying the text information corresponding to the signal with the small area or the signal with the large area in real time when the signal with the small area or the signal with the large area is received.
4. A method of target footprint detection, the method comprising:
using content grabbing equipment for grabbing certificate photos taken of people to be output as photos to be processed;
using a signal-to-noise ratio analysis device, connecting with the content capture device, and receiving the photo to be processed, and measuring the signal-to-noise ratio of the photo to be processed to obtain and output a corresponding current signal-to-noise ratio;
using a macro block extraction device connected with the SNR analysis device, for performing average macro block processing on the photo to be processed based on the current SNR to obtain each image macro block, wherein the smaller the current SNR is, the larger each image macro block obtained by performing average macro block processing on the photo to be processed is;
using a macro block selection device connected with the macro block extraction device and used for receiving each image macro block of the photo to be processed, and drawing a maximum parallelogram in the photo to be processed so as to output an image macro block through which the maximum parallelogram passes as a reference image macro block;
using a brightness analysis device connected with the macro block selection device for identifying each brightness value of each reference image macro block in the photo to be processed, adding the maximum value and the minimum value of each brightness value, and dividing by 2 to obtain a brightness value to be analyzed;
the content adjusting device is connected with the brightness analyzing device and used for executing brightness enhancement processing on the photo to be processed by taking the brightness value to be analyzed as the integral brightness value of the photo to be processed so as to obtain and output a corresponding instant adjusting image;
the data analysis equipment is connected with the content adjustment equipment and used for receiving the instant adjustment image and taking pixel points of which the blue component values in the instant adjustment image fall between the upper limit blue component threshold value of the face and the lower limit blue component threshold value of the face as face pixel points;
using a proportion identification device connected with the data analysis device and used for acquiring the total number of pixel points of the instant adjustment image and dividing the total number of face pixel points in the instant adjustment image by the total number of pixel points of the instant adjustment image to obtain a face occupation proportion;
the MCU control chip is connected with the proportion identification equipment and used for sending an area standard reaching instruction when the face occupation proportion is between a first preset proportion and a second preset proportion and sending an area non-standard reaching instruction when the face occupation proportion is out of the first preset proportion and the second preset proportion;
using real-time display equipment, connecting with the MCU control chip, and displaying the character information corresponding to the rephotography in real time when receiving an area substandard instruction;
the content adjusting device comprises a parameter receiving sub-device, an instant processing sub-device and an image output sub-device;
the parameter receiving sub-device is used for receiving the brightness value to be analyzed, and the immediate processing sub-device is used for performing brightness enhancement processing on the photo to be processed by taking the brightness value to be analyzed as the integral brightness value of the photo to be processed;
wherein, taking the brightness value to be analyzed as the overall brightness value of the photo to be processed to execute brightness enhancement processing on the photo to be processed comprises: the lower the brightness value to be analyzed is, the larger the amplitude of brightness enhancement processing performed on the photo to be processed is;
the image output sub-equipment is connected with the instant processing sub-equipment and is used for obtaining and outputting a corresponding instant adjusting image;
the MCU control chip is also used for sending out a signal with a small area when the face occupation proportion is smaller than a first preset proportion;
the MCU control chip is also used for sending out an area larger signal when the face occupation ratio is larger than a second preset ratio;
in the MCU control chip, the MCU, namely a micro control unit, also called a single chip microcomputer or a single chip microcomputer, reduces the frequency and specification of a central processing unit, integrates a memory, a counter, a USB, an A/D conversion circuit and an LCD drive circuit on a single chip to form a chip-level computer, performs different combination control for different application occasions, and the working frequency of the 32-bit MCU is between 100 and 350 MHz.
5. The object occupation area detection method according to claim 4, characterized in that:
in the MCU control chip, the second preset proportion is larger than the first preset proportion.
6. The object occupying area detecting method according to claim 5, wherein:
the real-time display equipment is also used for displaying the text information corresponding to the signal with the small area or the signal with the large area in real time when the signal with the small area or the signal with the large area is received.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910970379.1A CN110992419B (en) | 2019-10-13 | 2019-10-13 | Target big data occupied area detection platform and method |
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| CN201910970379.1A CN110992419B (en) | 2019-10-13 | 2019-10-13 | Target big data occupied area detection platform and method |
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| CN110992419A CN110992419A (en) | 2020-04-10 |
| CN110992419B true CN110992419B (en) | 2020-12-15 |
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