CN110490810B - On-site big data dynamic adjusting device - Google Patents
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Abstract
The invention relates to a dynamic field data adjusting device, which comprises: the resolution acquisition equipment is connected with a display driver of the computer and is used for acquiring the current resolution of a display screen of the computer; the high-definition camera equipment is embedded in the shell of the computer display and is used for capturing image data in front of the computer display screen to obtain multi-frame shell front images which are continuous in time; and the block restoration device is connected with the high-definition camera device and is used for receiving multiple frames of shell front images which are continuous in time. The field data dynamic adjusting device is automatically set, and is time-saving and labor-saving. On the basis of targeted image processing, identity authentication is carried out on a current computer user, whether an identity authentication result corresponds to the current resolution of a computer display or not is determined, and dynamic adjustment of the resolution is carried out under the condition of no correspondence, so that the link of manual back-and-forth adjustment is reduced.
Description
Technical Field
The invention relates to the field of computer control, in particular to a field big data dynamic adjusting device.
Background
With the development of science and technology, the rapid development of various computer technologies and network technologies, the development of computers has entered a fast and new era, and computers have been developed from single function and large volume to complex function, small volume, resource networking, etc. The future of computers is replete with variables, the dramatic improvement in performance is not questionable, and there are many ways to achieve a leap in performance. However, the performance improvement is not the only way for computer development, and the development of computers should become more and more humanized, and attention should be paid to environmental protection, etc.
From the appearance to the present, the computer experiences four generations of modern operating systems such as machine language, program language, simple operating system and Linux, Macos, BSD, Windows and the like, the running speed is also greatly improved, and the operation speed of the fourth generation computer reaches billions times per second. The computer is also developed from the original use only for military scientific research to the possession of people, the strong application function of the computer generates huge market demands, and the performance of the computer is developed towards the direction of miniaturization, networking, intellectualization and giant development in the future.
Disclosure of Invention
The invention aims to provide a field data dynamic adjusting device, which comprises: the resolution acquisition equipment is connected with a display driver of the computer and is used for acquiring the current resolution of a display screen of the computer; the high-definition camera device is embedded in the shell of the computer display and is used for capturing image data in front of the computer display screen to obtain a plurality of frames of shell front images which are continuous in time.
More specifically, in the field data dynamic adjustment apparatus, the apparatus further includes: the high-definition camera device is used for acquiring a multi-frame shell front image, the multi-frame shell front image is matched with a previous frame shell front image to obtain an image overall jitter value, the number of image areas for evenly dividing the current shell front image is determined based on the image overall jitter value, the higher the image overall jitter value is, the more the number of the image areas for evenly dividing the current shell front image is, the smaller the image area degradation degree is, the lower the restoration processing intensity is, and the blocks are combined to obtain a block restoration image.
More specifically, in the field data dynamic adjustment apparatus, the apparatus further includes: the noise monitoring device is connected with the block restoration device and used for receiving the block restoration image, acquiring each isolated noise in the block restoration image and determining the number of pixel points occupied by each isolated noise in the block restoration image based on each isolated noise; the noise evaluation equipment is connected with the noise monitoring equipment and used for receiving the number of pixel points occupied by each isolated noise to obtain each number, and performing mean value calculation on each number to obtain a corresponding number mean value; the window customizing device is connected with the noise monitoring device and used for receiving the number of pixel points occupied by each isolated noise respectively and determining the size of a sliding window for filtering the block restoration image based on the number of the pixel points occupied by each isolated noise respectively; the MMC storage equipment is connected with the window customizing equipment and used for receiving and storing the size of the sliding window; the parameter extraction device is respectively connected with the MMC storage device and the noise evaluation device, and is used for receiving the number average value and the sliding window and executing the following operations on each pixel point in the block restoration image: taking each pixel point in the block restoration image as an object pixel point, obtaining each pixel point in a sliding window taking the object pixel point as a center in the block restoration image as each reference pixel point, sequencing brightness values of the reference pixel points from large to small, taking a plurality of brightness values with middle sequence numbers and reaching the quantity average value as operation pixel values, and performing arithmetic average calculation on the operation pixel values to obtain a replacement pixel value of the object pixel point.
The present invention has at least the following important points:
(1) performing identity authentication on a current computer user, determining whether an identity authentication result corresponds to the current resolution of a computer display, and performing dynamic adjustment on the resolution under the condition of no correspondence;
(2) updating the target gray threshold range in real time by using a plurality of historical images to be processed, thereby ensuring the separation effect of target subimages from the images to be processed and ensuring the accuracy of subsequent target type identification;
(3) acquiring a latest standard test chart in a wireless communication mode, and analyzing the shape conformity of the image after the shape calibration processing based on the standard test chart to determine whether the shape calibration action needs to be supplemented or not;
(4) the method comprises the steps of determining the size of a sliding window for filtering an image based on the noise distribution condition of the image, selecting a plurality of brightness values which reach the average number of pixels occupied by isolated noise in pixel values of nearby pixels as operation pixel values when the pixel values are filtered, and carrying out arithmetic mean calculation on the operation pixel values to obtain a replacement pixel value of a processed pixel.
The field data dynamic adjusting device is automatically set, and is time-saving and labor-saving. On the basis of targeted image processing, identity authentication is carried out on a current computer user, whether an identity authentication result corresponds to the current resolution of a computer display or not is determined, and dynamic adjustment of the resolution is carried out under the condition of no correspondence, so that the link of manual back-and-forth adjustment is reduced.
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Fig. 1 is an external configuration view of a high-definition imaging device of a field data dynamic adjustment apparatus according to the present invention.
Detailed Description
The display resolution (screen resolution) is the precision of the screen image and refers to how many pixels can be displayed on the display. Since the dots, lines and planes on the screen are all composed of pixels, the more pixels that can be displayed by the display, the finer the picture is, and the more information can be displayed in the same screen area, so that the resolution is one of the very important performance indexes. The whole image can be thought of as a large chessboard, and the resolution is expressed by the number of all the longitude and latitude intersections. Under the condition of a certain display resolution, the smaller the display screen is, the clearer the image is, on the contrary, when the size of the display screen is fixed, the clearer the image is when the display resolution is higher.
At present, the resolution of a computer display screen needs to be adjusted manually, on one hand, the adjustment is low in automation level and time and labor consuming in adjustment, on the other hand, the computer display is damaged to a certain extent by frequent adjustment, the working time of a user is delayed, and how to set the computer display screen quickly and efficiently according to the use habits of the user is one of the current problems.
In order to overcome the defects, the invention provides a field data dynamic adjusting device which can effectively solve the corresponding technical problem.
The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
Fig. 1 is an external configuration view of a high-definition imaging device of a field data dynamic adjustment apparatus according to the present invention.
A dynamic field data adjustment apparatus, comprising:
the resolution acquisition equipment is connected with a display driver of the computer and is used for acquiring the current resolution of a display screen of the computer;
the high-definition camera device is embedded in the shell of the computer display and is used for capturing image data in front of the computer display screen to obtain a plurality of frames of shell front images which are continuous in time.
Next, a detailed configuration of the field data dynamic adjustment device according to the present invention will be further described.
The field data dynamic adjustment device may further include:
the high-definition camera device is used for acquiring a multi-frame shell front image, the multi-frame shell front image is matched with a previous frame shell front image to obtain an image overall jitter value, the number of image areas for evenly dividing the current shell front image is determined based on the image overall jitter value, the higher the image overall jitter value is, the more the number of the image areas for evenly dividing the current shell front image is, the smaller the image area degradation degree is, the lower the restoration processing intensity is, and the blocks are combined to obtain a block restoration image.
The field data dynamic adjustment device may further include:
the noise monitoring device is connected with the block restoration device and used for receiving the block restoration image, acquiring each isolated noise in the block restoration image and determining the number of pixel points occupied by each isolated noise in the block restoration image based on each isolated noise;
the noise evaluation equipment is connected with the noise monitoring equipment and used for receiving the number of pixel points occupied by each isolated noise to obtain each number, and performing mean value calculation on each number to obtain a corresponding number mean value;
the window customizing device is connected with the noise monitoring device and used for receiving the number of pixel points occupied by each isolated noise respectively and determining the size of a sliding window for filtering the block restoration image based on the number of the pixel points occupied by each isolated noise respectively;
the MMC storage equipment is connected with the window customizing equipment and used for receiving and storing the size of the sliding window;
the parameter extraction device is respectively connected with the MMC storage device and the noise evaluation device, and is used for receiving the number average value and the sliding window and executing the following operations on each pixel point in the block restoration image: taking each pixel point in the block restoration image as an object pixel point, acquiring each pixel point in a sliding window taking the object pixel point as a center in the block restoration image as each reference pixel point, sequencing brightness values of the reference pixel points from large to small, taking a plurality of brightness values with middle serial numbers and reaching the quantity average value as operation pixel values, and performing arithmetic average calculation on the operation pixel values to obtain a replacement pixel value of the object pixel point;
the data output device is connected with the parameter extraction device and used for receiving each replacement pixel value of each pixel point in the block restoration image, acquiring a replacement image corresponding to the block restoration image based on each replacement pixel value of each pixel point in the block restoration image, and outputting the replacement image corresponding to the block restoration image;
the image enhancement device is connected with the data output device and used for receiving the replacement image and performing multiple times of image enhancement based on the signal-to-noise ratio on the replacement image to obtain corresponding multiple times of enhanced images, wherein the lower the signal-to-noise ratio of the replacement image is, the more times of image enhancement is performed;
the shape calibration device is connected with the image enhancement device and used for receiving the multiple times of enhanced images and executing shape calibration processing on the multiple times of enhanced images so as to obtain and output corresponding shape calibration images;
a data selection device, connected to the shape calibration device, for receiving the shape calibration image, performing image block acquisition based on a nine-grid image on the shape calibration image to obtain nine image blocks of the same size, performing an arithmetic mean calculation on nine shape coincidences of the nine image blocks within the shape calibration image to obtain an image shape coincidence, and for performing image block acquisition based on a nine-grid image on a standard test chart to obtain nine image blocks of the same size, performing an arithmetic mean calculation on nine shape coincidences of the nine image blocks within the standard test chart to obtain a test shape coincidence;
in the data selection device, issuing a parameter reliable command when the image shape conformity exceeds the test shape conformity, and issuing a parameter unreliable command when the image shape conformity does not exceed the test shape conformity;
the supplementary calibration equipment is connected with the data selection equipment, is used for executing supplementary shape calibration actions on the shape calibration image when receiving the parameter unreliable command so as to obtain a supplementary calibration image, and is also used for outputting the shape calibration image as the supplementary calibration image when receiving the parameter reliable command;
a threshold updating device connected to the supplementary calibration device and configured to receive each supplementary calibration image in time order, and to use a face grayscale threshold range determined before updating of the newly received supplementary calibration image every time the supplementary calibration image is received, where an initial range of the face grayscale threshold range is pre-stored in an internal memory of the threshold updating device;
the content analysis equipment is used for receiving the latest supplementary calibration image, analyzing the complexity of the latest supplementary calibration image and selecting a corresponding filtering algorithm based on the complexity of the latest supplementary calibration image;
the filtering processing equipment is connected with the content analysis equipment and is used for receiving the latest supplementary calibration image and the selected filtering algorithm and executing the selected filtering algorithm on the latest supplementary calibration image to obtain a corresponding filtering image;
the face detection device is connected with the threshold updating device and is used for determining whether the pixel value of each pixel of the latest supplementary calibration image falls within the updated face gray level threshold range or not, if the pixel value falls within the updated face gray level threshold range, the pixel is determined as a face pixel, if the pixel value falls outside the updated face gray level threshold range, the pixel is determined as a non-face pixel, and all face pixels of the latest supplementary calibration image form a face sub-image;
and the resolution adjusting device is respectively connected with the face detection device and the resolution acquisition device and is used for adjusting the current resolution so as to enable the current resolution to be corresponding to the user ID corresponding to the face sub-image and the current resolution when the user ID does not correspond to the current resolution.
The field data dynamic adjustment device may further include:
and the WIFI transceiving equipment is connected with the data selection equipment and is used for wirelessly acquiring the standard test chart through a WIFI communication link and sending the standard test chart to the data selection equipment.
In the field data dynamic adjustment device:
the resolution adjustment device is further configured to stop adjustment of the current resolution when the user ID corresponding to the facial sub-image corresponds to the current resolution.
In the field data dynamic adjustment device:
the parameter extraction device includes a data receiving unit, a data transmitting unit, and a pixel value processing unit.
In the field data dynamic adjustment device:
the data receiving unit is used for receiving the number average value and the sliding window.
In the field data dynamic adjustment device:
the pixel value processing unit is connected with the data receiving unit, and the data sending unit is connected with the pixel value processing unit.
In the field data dynamic adjustment device:
the pixel value processing unit is configured to perform the following operations on each pixel point in the block restoration image: taking each pixel point in the block restoration image as an object pixel point, obtaining each pixel point in a sliding window taking the object pixel point as a center in the block restoration image as each reference pixel point, sequencing brightness values of the reference pixel points from large to small, taking a plurality of brightness values with middle sequence numbers and reaching the quantity average value as operation pixel values, and performing arithmetic average calculation on the operation pixel values to obtain a replacement pixel value of the object pixel point.
In the field data dynamic adjustment device:
the MMC memory device is also connected with the noise evaluation device and used for receiving and storing the quantity average value.
Additionally, WIFI is a technology that allows an electronic device to connect to a Wireless Local Area Network (WLAN), typically using the 2.4G UHF or 5G SHF ISM radio frequency bands. Connecting to a wireless local area network is typically password protected; but may be open, allowing any device within range of the WLAN to connect. WIFI is a brand of wireless network communication technology, held by the WIFI alliance. The object is to improve the interoperability between wireless network products based on the IEEE 802.11 standard. Local area networks using the IEEE 802.11 family of protocols are known as wireless fidelity. Even WIFI is equated to the wireless internet (WIFI is an important component of WLAN).
The wireless network internet access can be simply understood as wireless internet access, almost all smart phones, tablet computers and notebook computers support WIFI internet access, and the wireless network transmission technology is the most widely used wireless network transmission technology at present. In effect, the wired network signal is converted to a wireless signal, as described at the outset, using a wireless router for reception by the relevant computer, cell phone, tablet, etc. supporting its technology. If the mobile phone has the WIFI function, the mobile phone can surf the internet without a mobile communication network when a WIFI wireless signal exists, and traffic cost is saved.
Wireless networking of wireless networks is commonly used in large cities, and although the wireless communication quality transmitted by the WIFI technology is not good, the data security performance is poorer than that of Bluetooth, the transmission quality needs to be improved, the transmission speed is very high, 54Mbps can be achieved, and the requirements of personal and social informatization are met. The main advantage of WIFI is that it does not need wiring, and it can not be limited by wiring conditions, so it is very suitable for the needs of mobile office users, and because the transmission signal power is lower than 100mw, and lower than the transmission power of mobile phone, it is relatively the safest and healthier to access the internet via WIFI.
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 (6)
1. A device for dynamically adjusting field data, comprising:
the resolution acquisition equipment is connected with a display driver of the computer and is used for acquiring the current resolution of a display screen of the computer;
the high-definition camera equipment is embedded in the shell of the computer display and is used for capturing image data in front of the computer display screen to obtain multi-frame shell front images which are continuous in time;
the high-definition camera device is used for acquiring a multi-frame shell front image, matching the current shell front image with the previous shell front image to obtain an image overall jitter value, determining the number of image areas for evenly dividing the current shell front image based on the image overall jitter value, wherein the higher the image overall jitter value is, the more the number of the image areas for evenly dividing the current shell front image is, respectively executing restoration processing based on image area degradation to each image area to obtain each restoration area, the smaller the image area degradation is, the smaller the restoration processing strength of the image areas is, and combining the restoration areas to obtain a block restoration image;
the noise monitoring device is connected with the block restoration device and used for receiving the block restoration image, acquiring each isolated noise in the block restoration image and determining the number of pixel points occupied by each isolated noise in the block restoration image based on each isolated noise;
the noise evaluation equipment is connected with the noise monitoring equipment and used for receiving the number of pixel points occupied by each isolated noise to obtain each number, and performing mean value calculation on each number to obtain a corresponding number mean value;
the window customizing device is connected with the noise monitoring device and used for receiving the number of pixel points occupied by each isolated noise respectively and determining the size of a sliding window for filtering the block restoration image based on the number of the pixel points occupied by each isolated noise respectively;
the MMC storage equipment is connected with the window customizing equipment and used for receiving and storing the size of the sliding window;
the parameter extraction device is respectively connected with the MMC storage device and the noise evaluation device, and is used for receiving the number average value and the sliding window and executing the following operations on each pixel point in the block restoration image: taking each pixel point in the block restoration image as an object pixel point, acquiring each pixel point in a sliding window taking the object pixel point as a center in the block restoration image as each reference pixel point, sequencing brightness values of the reference pixel points from large to small, taking a plurality of brightness values with middle serial numbers and reaching the quantity average value as operation pixel values, and performing arithmetic average calculation on the operation pixel values to obtain a replacement pixel value of the object pixel point;
the data output device is connected with the parameter extraction device and used for receiving each replacement pixel value of each pixel point in the block restoration image, acquiring a replacement image corresponding to the block restoration image based on each replacement pixel value of each pixel point in the block restoration image, and outputting the replacement image corresponding to the block restoration image;
the image enhancement device is connected with the data output device and used for receiving the replacement image and performing multiple times of image enhancement based on the signal-to-noise ratio on the replacement image to obtain corresponding multiple times of enhanced images, wherein the lower the signal-to-noise ratio of the replacement image is, the more times of image enhancement is performed;
the shape calibration device is connected with the image enhancement device and used for receiving the multiple times of enhanced images and executing shape calibration processing on the multiple times of enhanced images so as to obtain and output corresponding shape calibration images;
a data selection device, connected to the shape calibration device, for receiving the shape calibration image, performing image block acquisition based on a nine-grid image on the shape calibration image to obtain nine image blocks of the same size, performing an arithmetic mean calculation on nine shape coincidences of the nine image blocks within the shape calibration image to obtain an image shape coincidence, and for performing image block acquisition based on a nine-grid image on a standard test chart to obtain nine image blocks of the same size, performing an arithmetic mean calculation on nine shape coincidences of the nine image blocks within the standard test chart to obtain a test shape coincidence;
in the data selection device, issuing a parameter reliable command when the image shape conformity exceeds the test shape conformity, and issuing a parameter unreliable command when the image shape conformity does not exceed the test shape conformity;
the supplementary calibration equipment is connected with the data selection equipment, is used for executing supplementary shape calibration actions on the shape calibration image when receiving the parameter unreliable command so as to obtain a supplementary calibration image, and is also used for outputting the shape calibration image as the supplementary calibration image when receiving the parameter reliable command;
the threshold updating device is connected with the supplementary calibration device and used for receiving each supplementary calibration image in a time sequence, and the face gray level threshold range determined before the latest received supplementary calibration image is updated is used every time the supplementary calibration image is received, wherein the initial range of the face gray level threshold range is pre-stored in the built-in memory of the threshold updating device;
the content analysis equipment is used for receiving the latest supplementary calibration image, analyzing the complexity of the latest supplementary calibration image and selecting a corresponding filtering algorithm based on the complexity of the latest supplementary calibration image;
the filtering processing equipment is connected with the content analysis equipment and is used for receiving the latest supplementary calibration image and the selected filtering algorithm and executing the selected filtering algorithm on the latest supplementary calibration image to obtain a corresponding filtering image;
the face detection device is connected with the threshold updating device and is used for determining whether the pixel value of each pixel of the latest supplementary calibration image falls within the updated face gray level threshold range or not, if the pixel value falls within the updated face gray level threshold range, the pixel is determined as a face pixel, if the pixel value falls outside the updated face gray level threshold range, the pixel is determined as a non-face pixel, and all face pixels of the latest supplementary calibration image form a face sub-image;
and the resolution adjusting device is respectively connected with the face detection device and the resolution acquisition device and is used for adjusting the current resolution so as to enable the current resolution to be corresponding to the user ID corresponding to the face sub-image and the current resolution when the user ID does not correspond to the current resolution.
2. The dynamic field data adjustment device of claim 1, wherein the device further comprises:
and the WIFI transceiving equipment is connected with the data selection equipment and is used for wirelessly acquiring the standard test chart through a WIFI communication link and sending the standard test chart to the data selection equipment.
3. The field data dynamic adjustment device of claim 2, wherein:
the resolution adjustment device is further configured to stop adjustment of the current resolution when the user ID corresponding to the facial sub-image corresponds to the current resolution.
4. The dynamic field data adjustment device of claim 3, wherein:
the parameter extraction device includes a data receiving unit, a data transmitting unit, and a pixel value processing unit.
5. The dynamic field data adjustment device of claim 4, wherein:
the data receiving unit is used for receiving the number average value and the sliding window.
6. The dynamic field data adjustment device of claim 5, wherein:
the pixel value processing unit is connected with the data receiving unit, and the data sending unit is connected with the pixel value processing unit.
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