CN110399507B - On-site display system based on big data acquisition - Google Patents
On-site display system based on big data acquisition Download PDFInfo
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- CN110399507B CN110399507B CN201910262827.2A CN201910262827A CN110399507B CN 110399507 B CN110399507 B CN 110399507B CN 201910262827 A CN201910262827 A CN 201910262827A CN 110399507 B CN110399507 B CN 110399507B
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- 238000012545 processing Methods 0.000 claims description 14
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- 238000003707 image sharpening Methods 0.000 claims description 6
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/40—Image enhancement or restoration by the use of histogram techniques
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- G06T5/73—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
Abstract
The invention relates to a field display system based on big data acquisition, comprising: the DRAM memory chip is arranged in a control room of the fast food shop and is used for storing a personnel speed comparison table in advance, and the personnel speed comparison table takes the ID of each worker as an index to store the hamburger making speed of each worker; the information searching device is used for searching out corresponding speed in the personnel speed comparison table based on the ID of the personnel on site to output the speed as the site production speed; and the data pushing equipment is used for determining the current completion time of each order based on the field production speed. The field display system based on big data acquisition has visual data and is convenient to use.
Description
Technical Field
The invention relates to the field of big data acquisition, in particular to a field display system based on big data acquisition.
Background
Data acquisition, also known as data acquisition, utilizes a device to acquire data from outside the system and input it to an interface within the system. Data acquisition techniques are widely used in various fields. Such as a camera and a microphone, are data acquisition tools.
The collected data are various physical quantities such as temperature, water level, wind speed, pressure, etc. which have been converted into electrical signals, and may be analog quantities or digital quantities. The acquisition is generally a sampling mode, that is, the same point data is repeatedly acquired at certain time intervals (called sampling period). The acquired data are mostly instantaneous values, but also characteristic values within a certain period of time. Accurate data measurements are the basis for data acquisition. The data measurement method includes contact and non-contact, and the detection elements are various. No matter which method and element, the data correctness is ensured on the premise of not influencing the state of the object to be measured and the measurement environment. The data collection is very broad, and comprises the collection of planar continuous physical quantities. In computer-aided drawing, mapping, designing, the process of digitizing a graphic or image may also be referred to as data acquisition, where geometric (or physical, e.g., grayscale) data is acquired.
Disclosure of Invention
The invention has at least the following two important points:
(1) searching out the current hamburger making speed based on the ID identification result of workers in a hamburger making room in the fast food restaurant, and determining the completion time of each current order based on the current hamburger making speed;
(2) when the real-time frame rate of an image to be processed is too high, the complexity of image processing is appropriately reduced to avoid being trapped in excessively complex image processing.
According to an aspect of the present invention, there is provided a big data collection based on-site display system, the system including:
the DRAM memory chip is arranged in a control room of the fast food shop and is used for storing a personnel speed comparison table in advance, and the personnel speed comparison table takes the ID of each worker as an index to store the hamburger making speed of each worker;
the CCD sensing mechanism is arranged in the hamburger making room and is used for carrying out real-time sensing operation on the interior of the hamburger making room so as to obtain a corresponding real-time sensing image;
the first detection equipment is arranged in a control room of a fast food restaurant, is connected with the CCD sensing mechanism and is used for receiving the real-time sensing images and identifying the frame rate of an image sequence where the real-time sensing images are located so as to obtain and output a corresponding real-time frame rate;
the serial output equipment is connected with the first detection equipment and used for receiving the real-time frame rate and sending out a first control signal when the real-time frame rate exceeds a preset frame rate threshold value;
the serial output equipment is also used for sending out a second control signal when the real-time frame rate is lower than or equal to the preset frame rate threshold value;
the point image restoration device is respectively connected with the first detection device and the serial output device, and is used for receiving the real-time induction image and executing point image restoration processing on the real-time induction image when receiving the second control signal so as to obtain and output a corresponding point image restoration image;
the point image restoration device is further configured to, upon receiving the first control signal, directly output the real-time induction image as a point image restoration image without performing point image restoration processing on the real-time induction image;
the first sharpening device is connected with the point image restoration device and used for carrying out image sharpening operation based on a Roberts operator sharpening mode on the received point image restoration image so as to obtain a corresponding first sharpened image;
and the second sharpening device is connected with the first sharpening device and is used for carrying out image sharpening operation based on a Sobel operator sharpening mode on the received first sharpened image so as to obtain and output a corresponding second sharpened image.
The field display system based on big data acquisition has visual data and is convenient to use. Because the current hamburger making speed is searched based on the ID identification result of the staff in the hamburger making room in the fast food restaurant, and the completion time of each current order is determined based on the current hamburger making speed, the service quality of the fast food restaurant is improved.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic view of a fast food restaurant scenario in which a big data collection based on-site display system is applied according to an embodiment of the present invention.
Detailed Description
Embodiments of a big data collection based on-site display system according to the present invention will be described in detail with reference to the accompanying drawings.
CCD is a charge-coupled device, which is a detecting element that uses charge to express signal magnitude and uses coupling mode to transmit signal, and has the advantages of self-scanning, wide sensing spectrum range, small distortion, small volume, light weight, low system noise, low power consumption, long service life, high reliability, etc., and can be made into a very high-integration-level assembly. A Charge Coupled Device (CCD) is a new type of semiconductor device developed in the early 70 s of the 20 th century.
CCDs are widely used in digital photography, astronomy, especially in optical telemetry, optical and spectral telescopes and high speed photography, such as Lucky imaging. CCDs are widely used in video cameras, digital cameras and scanners, but the video cameras use dot matrix CCDs, i.e. including x and y directions for taking plane images, while the scanners use linear CCDs, which only use x direction, and the y direction scanning is completed by mechanical devices of the scanners.
Hamburgers are currently the main sales food of fast food restaurants, because they are convenient to produce and eat, and are favored by customers, fast food restaurants even open up rooms specifically for the specific production of hamburgers, however, for customers who seek to eat at a high speed, the most concerned is when their orders are produced, and in this regard, current fast food restaurants are blank.
In order to overcome the defects, the invention builds the field display system based on big data acquisition, and can effectively solve the corresponding technical problem.
Fig. 1 is a schematic view of a fast food restaurant scenario in which a big data collection based on-site display system is applied according to an embodiment of the present invention.
The field display system based on big data acquisition shown according to the embodiment of the invention comprises:
the DRAM memory chip is arranged in a control room of the fast food shop and is used for storing a personnel speed comparison table in advance, and the personnel speed comparison table takes the ID of each worker as an index to store the hamburger making speed of each worker;
the CCD sensing mechanism is arranged in the hamburger making room and is used for carrying out real-time sensing operation on the interior of the hamburger making room so as to obtain a corresponding real-time sensing image;
the first detection equipment is arranged in a control room of a fast food restaurant, is connected with the CCD sensing mechanism and is used for receiving the real-time sensing images and identifying the frame rate of an image sequence where the real-time sensing images are located so as to obtain and output a corresponding real-time frame rate;
the serial output equipment is connected with the first detection equipment and used for receiving the real-time frame rate and sending out a first control signal when the real-time frame rate exceeds a preset frame rate threshold value;
the serial output equipment is also used for sending out a second control signal when the real-time frame rate is lower than or equal to the preset frame rate threshold value;
the point image restoration device is respectively connected with the first detection device and the serial output device, and is used for receiving the real-time induction image and executing point image restoration processing on the real-time induction image when receiving the second control signal so as to obtain and output a corresponding point image restoration image;
the point image restoration device is further configured to, upon receiving the first control signal, directly output the real-time induction image as a point image restoration image without performing point image restoration processing on the real-time induction image;
the first sharpening device is connected with the point image restoration device and used for carrying out image sharpening operation based on a Roberts operator sharpening mode on the received point image restoration image so as to obtain a corresponding first sharpened image;
the second sharpening device is connected with the first sharpening device and is used for carrying out image sharpening operation based on a Sobel operator sharpening mode on the received first sharpened image so as to obtain and output a corresponding second sharpened image;
the index enhancement device is connected with the second sharpening device and is used for receiving the second sharpened image and performing image enhancement processing based on index transformation on the second sharpened image to obtain and output a corresponding index enhanced image;
the histogram equalization equipment is connected with the index enhancement equipment and is used for receiving the index enhancement image and executing histogram equalization processing on the index enhancement image so as to obtain and output a corresponding instant equalization image;
the ID detection device is connected with the histogram equalization device and used for identifying a human body sub-image in which a human body target is positioned in the instant equalization image based on human body imaging characteristics, comparing the human body sub-image with each staff reference contour respectively, and outputting a staff ID corresponding to the staff reference contour with the highest similarity as a field staff ID;
the information searching device is respectively connected with the ID detecting device and the DRAM memory chip and is used for searching out corresponding speed in the personnel speed comparison table based on the ID of the personnel on site to output the speed as the site manufacturing speed;
and the data pushing equipment is arranged in a control room of the fast food restaurant, is respectively connected with the information searching equipment and the field display equipment, and is used for determining the completion time of each current order based on the field production speed.
Next, the detailed structure of the big data collection based on-site display system of the present invention will be further described.
In the big data acquisition-based on-site display system, the method further comprises:
and the field display equipment is arranged on a receiving platform of the fast food restaurant and is used for displaying the completion time of each current order.
In the big data acquisition-based on-site display system:
in the data pushing device, determining the current completion time of each order based on the on-site production speed comprises: and determining the current completion time of each order based on the field production speed and the current queuing number of each order.
In the big data acquisition-based on-site display system, the method further comprises:
and the PSTN communication equipment is connected with the histogram equalization equipment and used for receiving and sending the instant equalization image.
In the big data acquisition-based on-site display system, the method further comprises:
the CCD sensing mechanism comprises a CCD sensing unit, an edge pixel analyzing unit, an ambiguity estimating unit, a zoom lens, a micro-control motor and an image output interface, wherein the CCD sensing unit outputs a real-time sensing image.
In the big data acquisition-based on-site display system:
in the CCD sensing mechanism, the edge pixel analyzing unit is connected to the CCD sensing unit, and is configured to receive the real-time sensing image, and execute the following processing for each pixel point in the real-time sensing image: and determining gradient values of the pixel points in all directions based on the pixel values of the pixel points and the pixel values of the pixel points in the field, and determining the pixel points as edge pixel points when the gradient values in one aspect in all directions exceed the limit.
In the big data acquisition-based on-site display system:
in the CCD sensing mechanism, the ambiguity estimation unit is connected to the edge pixel analysis unit, and configured to receive each edge pixel point determined in the real-time sensing image, synthesize the edge pixel points into one or more edge lines, count the total number of the one or more edge lines, send an image ambiguity signal when the total number of the one or more edge lines is lower than a preset number threshold, determine a difference between the total number of the one or more edge lines and the preset number threshold, and determine a corresponding ambiguity based on the difference, where the greater the difference is, the greater the ambiguity is.
In the big data acquisition-based on-site display system:
in the CCD sensing mechanism, the micro-control motor is respectively connected with the ambiguity estimation unit and the zoom lens and is used for receiving the ambiguity and driving the zoom lens to perform corresponding displacement operation based on the ambiguity, wherein the larger the ambiguity is, the larger the corresponding displacement amplitude of the zoom lens is.
In the big data acquisition-based on-site display system:
in the CCD sensing mechanism, the image output interface is respectively connected with the micro control motor and the CCD sensing unit and is used for receiving and outputting the real-time sensing image output by the CCD sensing unit after the micro control motor drives the zoom lens.
In the big data acquisition-based on-site display system:
in the ambiguity estimation unit, when the total number of the one or more edge lines is higher than or equal to a preset number threshold, sending an image definition signal;
wherein, each direction includes upper left, right upper, right left, right, left lower, right lower and right lower, the edge line is straight line or curve.
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.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (9)
1. A big data acquisition-based on-site display system, comprising:
the DRAM memory chip is arranged in a control room of the fast food shop and is used for storing a personnel speed comparison table in advance, and the personnel speed comparison table takes the ID of each worker as an index to store the hamburger making speed of each worker;
the CCD sensing mechanism is arranged in the hamburger making room and is used for carrying out real-time sensing operation on the interior of the hamburger making room so as to obtain a corresponding real-time sensing image;
the first detection equipment is arranged in a control room of a fast food restaurant, is connected with the CCD sensing mechanism and is used for receiving the real-time sensing images and identifying the frame rate of an image sequence where the real-time sensing images are located so as to obtain and output a corresponding real-time frame rate;
the serial output equipment is connected with the first detection equipment and used for receiving the real-time frame rate and sending out a first control signal when the real-time frame rate exceeds a preset frame rate threshold value;
the serial output equipment is also used for sending out a second control signal when the real-time frame rate is lower than or equal to the preset frame rate threshold value;
the point image restoration device is respectively connected with the first detection device and the serial output device, and is used for receiving the real-time induction image and executing point image restoration processing on the real-time induction image when receiving the second control signal so as to obtain and output a corresponding point image restoration image;
the point image restoration device is further configured to, upon receiving the first control signal, directly output the real-time induction image as a point image restoration image without performing point image restoration processing on the real-time induction image;
the first sharpening device is connected with the point image restoration device and used for carrying out image sharpening operation based on a Roberts operator sharpening mode on the received point image restoration image so as to obtain a corresponding first sharpened image;
the second sharpening device is connected with the first sharpening device and is used for carrying out image sharpening operation based on a Sobel operator sharpening mode on the received first sharpened image so as to obtain and output a corresponding second sharpened image;
the index enhancement device is connected with the second sharpening device and is used for receiving the second sharpened image and performing image enhancement processing based on index transformation on the second sharpened image to obtain and output a corresponding index enhanced image;
the histogram equalization equipment is connected with the index enhancement equipment and is used for receiving the index enhancement image and executing histogram equalization processing on the index enhancement image so as to obtain and output a corresponding instant equalization image;
the ID detection device is connected with the histogram equalization device and used for identifying a human body sub-image in which a human body target is positioned in the instant equalization image based on human body imaging characteristics, comparing the human body sub-image with each staff reference contour respectively, and outputting a staff ID corresponding to the staff reference contour with the highest similarity as a field staff ID;
the information searching device is respectively connected with the ID detecting device and the DRAM memory chip and is used for searching out corresponding speed in the personnel speed comparison table based on the ID of the personnel on site to output the speed as the site manufacturing speed;
and the data pushing equipment is arranged in a control room of the fast food restaurant, is respectively connected with the information searching equipment and the field display equipment, and is used for determining the completion time of each current order based on the field production speed.
2. The big data collection-based on-site display system of claim 1, wherein the system further comprises:
and the field display equipment is arranged on a receiving platform of the fast food restaurant and is used for displaying the completion time of each current order.
3. The big data collection based on-site display system of claim 2, wherein:
in the data pushing device, determining the current completion time of each order based on the on-site production speed comprises: and determining the current completion time of each order based on the field production speed and the current queuing number of each order.
4. The big data collection-based on-site display system of claim 3, wherein the system further comprises:
the CCD sensing mechanism comprises a CCD sensing unit, an edge pixel analyzing unit, an ambiguity estimating unit, a zoom lens, a micro-control motor and an image output interface, wherein the CCD sensing unit outputs a real-time sensing image.
5. The big data collection-based on-site display system of claim 4, wherein:
in the CCD sensing mechanism, the edge pixel analyzing unit is connected to the CCD sensing unit, and is configured to receive the real-time sensing image, and execute the following processing for each pixel point in the real-time sensing image: and determining gradient values of the pixel points in all directions based on the pixel values of the pixel points and the pixel values of the pixel points in the field, and determining the pixel points as edge pixel points when the gradient values in one aspect in all directions exceed the limit.
6. The big data collection-based on-site display system of claim 5, wherein:
in the CCD sensing mechanism, the ambiguity estimation unit is connected to the edge pixel analysis unit, and configured to receive each edge pixel point determined in the real-time sensing image, synthesize the edge pixel points into one or more edge lines, count the total number of the one or more edge lines, send an image ambiguity signal when the total number of the one or more edge lines is lower than a preset number threshold, determine a difference between the total number of the one or more edge lines and the preset number threshold, and determine a corresponding ambiguity based on the difference, where the greater the difference is, the greater the ambiguity is.
7. The big data collection-based on-site display system of claim 6, wherein:
in the CCD sensing mechanism, the micro-control motor is respectively connected with the ambiguity estimation unit and the zoom lens and is used for receiving the ambiguity and driving the zoom lens to perform corresponding displacement operation based on the ambiguity, wherein the larger the ambiguity is, the larger the corresponding displacement amplitude of the zoom lens is.
8. The big data collection-based on-site display system of claim 7, wherein:
in the CCD sensing mechanism, the image output interface is respectively connected with the micro control motor and the CCD sensing unit and is used for receiving and outputting the real-time sensing image output by the CCD sensing unit after the micro control motor drives the zoom lens.
9. The big data collection-based on-site display system of claim 8, wherein:
in the ambiguity estimation unit, when the total number of the one or more edge lines is higher than or equal to a preset number threshold, sending an image definition signal;
wherein, each direction includes upper left, right upper, right left, right, left lower, right lower and right lower, the edge line is straight line or curve.
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