CN202404031U - Automatic wet flour gluten detecting device - Google Patents
Automatic wet flour gluten detecting device Download PDFInfo
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- CN202404031U CN202404031U CN2012200280780U CN201220028078U CN202404031U CN 202404031 U CN202404031 U CN 202404031U CN 2012200280780 U CN2012200280780 U CN 2012200280780U CN 201220028078 U CN201220028078 U CN 201220028078U CN 202404031 U CN202404031 U CN 202404031U
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Abstract
The utility model discloses an automatic wet flour gluten detecting device. A flour sample is prepared into dough by using a sodium chloride buffer solution, the dough is washed by using the sodium chloride buffer solution, then starch, sugar, cellulose, soluble protein and the like are separated from the dough, redundant washing solution is removed, and the rest colloidal substance is wet gluten. The automatic wet flour gluten detecting device comprises an industrial control computer (1); the industrial control computer is connected with an illumination measurement and control circuit (2), a liquid crystal screen (3), a touch screen (4) and a printer; and the illumination measurement and control circuit is connected with a pickup device (6). The device is used for judging whether the wet flour gluten is washed by scientific research institutions and food processing enterprises.
Description
Technical field:
the utility model relates to a kind of flour wet gluten automatic detection device.
Background technology:
wet gluten is that a kind of that the method according to cereal, legume crop seed wet gluten assay method GB (GB 5497) regulation obtains in flour mainly has a plastoelastic gluey hydrate by what gliadin matter and glutenin matter were formed.Flour sample is processed dough with sodium chloride buffer solution, again with sodium chloride buffer solution washing and isolate starch in the dough, sugar, cellulose and soluble protein etc., remove unnecessary cleansing solution again, the residue colloid substance is wet gluten.And judge finally whether wet gluten accomplishes washing, need be with the liquid of extruding of iodine fluid inspection wet gluten, be little when blue washing just can finish.At present; In scientific research institution and food processing enterprises; Also rely on eye-observation sensation judgement wet gluten to extrude the change color of liquid and the reaction of iodine liquid, be easy to receive people's subjective factor to influence, be difficult to judge accurately the flour wet gluten and whether accomplish washing; And wet gluten extrudes the change color of liquid and the reaction of iodine liquid is to judge whether the flour wet gluten accomplishes the sole criterion of washing, does not have a kind of way that can address this problem at present.
The utility model content:
The purpose of
the utility model provides and a kind ofly is positioned over scientific research institution and food processing enterprises judge whether contain starch in the flour wet gluten more scientifically and rationally, is used for determining rapidly and accurately the automation equipment whether the flour wet gluten accomplishes washing.
Above-mentioned purpose realizes through following technical scheme:
flour wet gluten automatic detection device; Comprise: connect illuminance telemetry circuit, liquid crystal display, touch-screen, printer on industrial control computer, the described industrial control computer, described illuminance telemetry circuit connects camera head.
described flour wet gluten automatic detection device, described camera head comprises camera, and the lighting source and the camera lens of the bright white look light emitting diode with flicker free is housed on the described camera; Described camera is the colored technical grade camera of MV300UC type; Described camera highest resolution is 2048 * 1536; The maximum shooting speed of supporting per second 38 frames, signal to noise ratio (S/N ratio) are greater than 43dB, directly through the USB interface power supply; Power consumption is less than 1W, and described lighting source is interior 8 and outer 8 dicyclo type array structure.
described flour wet gluten automatic detection device; Described industrial control computer is 3.5 inches veneer industrial control computers; Described 3.5 inches veneer industrial control computers adopt chipset AMDLX800CPU, the AMDLX800+CS5536 with 1GB internal memory, provide a slot DDR SO-DIMM maximum can support 1GB; The audio frequency support decoding Realtek ALC203 with AC97 of described 3.5 inches veneer industrial control computers; The network of described 3.5 inches veneer industrial control computers provides 1 10/100Mbps Single RTL8100C network chip group, and described network chip group has PC/104, ISA bus, expansion slot and house dog; The mainboard port of described 3.5 inches veneer industrial control computers comprises 7 RS-232 of Digital IO port, 1 RS-232/422/485 of I/O interface, 4 USB 2.0 of display interface and 1 IDE of I/O interface; Described display interface comprises a 18-bit single channel LVDS and a 24-bit TTL port; Described mainboard is 8 layer printed circuit boards; Described printed circuit board (PCB) adopts the AT/ATX power supply, single 5V power supply.
described flour wet gluten automatic detection device, described touch-screen is artifical resistance formula, resolution 4096*4096, Xiang Yingshijian< 10ms, skin hardness 3H, click life-spans 250 gram force degree, 1,000 ten thousand times, stroke life-spans 250 gram force degree, 1,000,000 times, transmittance 81%, PORT COM be USB interface, described USB interface can be under-10 ℃ to+60 ℃ environment operate as normal.
described flour wet gluten automatic detection device, described touch-screen is artifical resistance formula, resolution 4096*4096, Xiang Yingshijian< 10ms, skin hardness 3H, click life-spans 250 gram force degree, 1,000 ten thousand times, stroke life-spans 250 gram force degree, 1,000,000 times, transmittance 81%, PORT COM be USB interface, described USB interface can be under-10 ℃ to+60 ℃ environment operate as normal.
described flour wet gluten automatic detection device; Described LCDs is 6.4 or 8.1 inches two lamp brightness industry color LCD screens, interface mode LVDS, and display casing adopts aluminium alloy, firmly light, screen embeds anti-riot tempered glass, has the surface waterproofing function, screen is in hermetic configuration state, resolution is 640*480.
Beneficial effect:
The conversion, amplification, collection of illuminance signal and the control of illuminance size can be realized in
1. the illuminance telemetry circuit of the utility model; Illuminance is in the reasonable range; Make photographic images segmentation threshold and Feature Extraction more accurate; Reduce the deviation that the too high or too low identification that all can make color of illuminance takes place, camera supports picture size, time shutter, white balance, black appliances equality characteristic able to programme, and control mode is very flexible; The lighting source of camera has rapidly, highly sensitive, stable performance, bright white look light emitting diode low in energy consumption, flicker free are used for IMAQ.
The A/D conversion chip of
the utility model is wideer than other ADC changing voltage scope; Its precision reaches 16; Slewing rate can reach 200ksps, is enough to satisfy the requirement of system to precision and speed, and new A DC chip AD974 compares with general ADC chip; Only need single+5V power supply; Support internal reference voltage and outside reference voltage simultaneously, its peripheral circuit is simple, thereby can simplify circuit design; Simultaneously, AD974 supports standard SPI interface also to be easy to be connected use with the veneer industrial control computer.
The LCDs of
the utility model out of doors clear display image under the sunlight direct projection, can be under-20 ℃ to+60 ℃ environment firmly light, the screen of the aluminum alloy casing of operate as normal, display embed anti-riot tempered glass, have the surface waterproofing function.
the utility model can be in real time, science, judge whether the flour wet gluten accomplishes washing exactly; Solve dependence eye-observation sensation judgement wet gluten and extrude the problem that the change color of liquid and the reaction of iodine liquid is influenced by people's subjective factor; And a kind of new color quick identification and normalized algorithm have been proposed; More whether science also can let scientific research institution and food processing enterprises grasp wet gluten at any time and make situation, production technology, equipment and operate normal exactly for content of starch situation in food processing enterprises or the testing agency's fast detecting wet gluten provides foundation.
The application software of
the utility model can also be carried out intelligent management to all user of services' identity information; Software is each can to generate the report that has user's identity information and testing result information after using, and is convenient to very much to store, write down and the management of hommization such as printing.
the utility model has solved and has relied on the eye-observation sensation to judge that wet gluten extrudes the problem that the change color of liquid and the reaction of iodine liquid is influenced by people's subjective factor, and it is more scientific and reasonable to make the detection wet gluten whether accomplish the process of washing.
the utility model can detect the instrument whether the flour wet gluten accomplishes washing in real time, fast and automatically based on computer vision technique and Flame Image Process.Solve dependence eye-observation sensation judgement wet gluten and extrude the problem that the change color of liquid and the reaction of iodine liquid is influenced by people's subjective factor; More whether science also can let scientific research institution and food processing enterprises grasp wet gluten at any time and make situation, production technology, equipment and operate normal exactly for content of starch situation in food processing enterprises or the testing agency's fast detecting wet gluten provides foundation.
Description of drawings:
accompanying drawing 1 is the structural representation of this product.
accompanying drawing 2 is lighting source position views of camera and IMAQ in the accompanying drawing 1.
accompanying drawing 3 is employed Flame Image Process of this product and algorithm for pattern recognition synoptic diagram.
accompanying drawing 4 is system's main program flow chart of this product.
accompanying drawing 5 is that the illuminance of this product is gathered subroutine flow chart.
accompanying drawing 6 is the color quick identification and the normalized Analysis program flow diagram of this product.
Embodiment:
Embodiment 1:
flour wet gluten automatic detection device; Its composition comprises: industrial control computer 1; Described industrial control computer connects illuminance telemetry circuit 2, liquid crystal display 3, touch-screen 4, printer 5, and described illuminance telemetry circuit connects camera head 6.
Embodiment 2:
embodiment 1 described flour wet gluten automatic detection device, described camera head comprises camera 7, described camera connects the lighting source 8 and camera lens 9 of the bright white look light emitting diode with flicker free; Described camera is the colored technical grade camera of MV300UC type, and described camera highest resolution is 2048 * 1536, the maximum shooting speed of supporting per second 38 frames; Signal to noise ratio (S/N ratio) is greater than 43dB; Can be directly through the USB interface power supply, power consumption is less than 1W, supports picture size, time shutter, white balance, black appliances equality characteristic able to programme; Control mode is very flexible, and described lighting source is interior 8 and outer 8 dicyclo type array structure.
Embodiment 3:
embodiment 1 described flour wet gluten automatic detection device; Described industrial control computer is 3.5 inches veneer industrial control computers; Described 3.5 inches veneer industrial control computers adopt chipset AMDLX800CPU, the AMDLX800+CS5536 with 1GB internal memory, provide a slot DDR SO-DIMM maximum can support 1GB; The audio frequency support decoding Realtek ALC203 with AC97 of described 3.5 inches veneer industrial control computers; The network of described 3.5 inches veneer industrial control computers provides 1 10/100Mbps Single RTL8100C network chip group, and described network chip group has PC/104, ISA bus, expansion slot and house dog; The mainboard port of described 3.5 inches veneer industrial control computers comprises 7 RS-232 of Digital IO port, 1 RS-232/422/485 of I/O interface, 4 USB 2.0 of display interface and 1 IDE of I/O interface; Described display interface comprises a 18-bit single channel LVDS and a 24-bit TTL port; Described mainboard is 8 layer printed circuit boards; Described printed circuit board (PCB) adopts the AT/ATX power supply, single 5V power supply.
Embodiment 4:
embodiment 1 described flour wet gluten automatic detection device; Described illuminance telemetry circuit selects for use the high-precision A/D conversion chip AD974 of ADI company as switching device; Can select for use 0V ~+4V or 0V ~+5V or ± three kinds of optional changing voltage scopes of 10V, wideer than other ADC changing voltage scope; Its precision reaches 16; Slewing rate can reach 200ksps, is enough to satisfy the requirement of system to precision and speed, and new A DC chip AD974 compares with general ADC chip; Only need single+5V power supply; Support internal reference voltage and outside reference voltage simultaneously, its peripheral circuit is simple, thereby can simplify circuit design.Simultaneously, AD974 supports standard SPI interface also to be easy to be connected with the veneer industrial control computer.
Embodiment 5:
embodiment 1 described flour wet gluten automatic detection device, described touch-screen is artifical resistance formula, resolution 4096*4096, Xiang Yingshijian< 10ms, skin hardness 3H, click life-spans 250 gram force degree, 1,000 ten thousand times, stroke life-spans 250 gram force degree, 1,000,000 times, transmittance 81%, PORT COM be USB interface, described USB interface can be under-10 ℃ to+60 ℃ environment operate as normal.
Embodiment 6:
embodiment 1 described flour wet gluten automatic detection device; Described LCDs is 6.4 or 8.1 inches two lamp brightness industry color LCD screens, interface mode LVDS, out of doors clear display image under the sunlight direct projection, can be under-20 ℃ to+60 ℃ environment operate as normal, display casing adopt aluminium alloy, firmly light, the anti-riot tempered glass of screen embedding, have the surface waterproofing function, screen is in hermetic configuration state, resolution is 640*480.
Embodiment 7:
a kind of flour wet gluten automatic testing method; The control camera is taken wet gluten and is extruded liquid and iodine liquid reacted solution; The digital pictures of taking imports into to 3.5 inches veneer industrial control computers; In computer application software based on content of starch in the qualitative calculating wet gluten of the routine analyzer of Flame Image Process and mode identification technology, accurately discern wet gluten and whether accomplish washing; In enterprising line parameter setting of touch-screen and feature operation, in the data that show on the color LCD screen after calculating, and through these data of printer output.
Embodiment 8:
embodiment 7 described flour wet gluten automatic testing methods, have can realize that rapid Continuous is taken pictures, color detection quick and precisely, personal information and detect the computer application software of information intelligent management; Application software mainly comprises primary control program, pickup light luminance detection and control program, webcam driver modular program, solution colour quick identification and normalized Analysis program and personal information administration module program.
Embodiment 9:
embodiment 7 or 8 described flour wet gluten automatic testing methods; In pickup light luminance detection and control program, adopt the BP neural network to realize the control of conversion, amplification, collection and the illuminance size of the data fitting realization illuminance signal between A/D sampled data and the standard light brightness value; Illuminance is in the reasonable range; Make photographic images segmentation threshold and Feature Extraction more accurate, reduce the too high or too low deviation that all can make the identification generation of color of illuminance.
Embodiment 10:
embodiment 7 or 8 described flour wet gluten automatic testing methods; In solution colour quick identification and normalized Analysis program, at first image is carried out gray scale and handle, employing is carried out weighted-average method to the RGB three-component coloured image is converted into gray level image.Then gray level image is transformed into bianry image, has adopted maximum entropy method (MEM) to come gray level image is carried out binary conversion treatment.Next carry out image filtering and remove the noise in the image, at first image is carried out texture analysis, the result according to texture analysis determines the Nagao wave filter to adopt which kind of template (comprising linear template and rectangle template) which kind of direction to carry out auto adapted filtering in then.Carry out the identification and the detection of image at last; When carrying out the atypia binary conversion treatment to standard picture, first handle notes segmentation threshold; This threshold value multiply by sensitivity factor, and threshold value is subsequent use as a reference afterwards; Then image is carried out the pixel that rim detection is found out gray-scale value generation transition, make comparisons, do not accomplish washing for the flour wet gluten if gray-scale value is just differentiated less than reference threshold with this gray values of pixel points and reference threshold; Accomplish washing otherwise just differentiate for the flour wet gluten, wherein rim detection is used improved Laplace edge detection algorithm.
Embodiment 11:
the described flour wet gluten of the foregoing description automatic detection device, the hardware configuration shown in the accompanying drawing 1, pick-up unit is a master cpu with 3.5 inches veneer industrial computers, is responsible for the control and the calculating of whole testing process by it.Single board computer adopts AMDLX800CPU, the design of AMDLX800+CS5536 chipset, and the maximum 1GB internal memory of supporting provides a DDR SO-DIMM slot maximum can support 1GB.Audio-frequency unit is supported Realtek ALC203 with AC97 decoding, and network portion provides 1 10/100Mbps Single RTL8100C network chip group, has PC/104 (ISA bus) expansion slot and house dog.This mainboard port comprises Digital IO port, I/O interface and display interface, the I/O interface: 7 RS-232,1 RS-232/422/485; 4 USB 2.0; 1 IDE, display interface comprise a 18-bit single channel LVDS and a 24-bit TTL port, and this mainboard is 8 layer printed circuit boards; Adopt the AT/ATX power supply, single 5V power supply.The camera of photographic images adopts the colored technical grade camera of MV300UC type; The highest resolution of this camera is 2048 * 1536, the maximum shooting speed of supporting per second 38 frames, and signal to noise ratio (S/N ratio) is greater than 43dB; Can be directly through the USB interface power supply; Power consumption is less than 1W, supports picture size, time shutter, white balance, black appliances equality characteristic able to programme, and control mode is very flexible.And the bright white look light emitting diode of will be rapidly highly sensitive, stable performance, low in energy consumption, flicker free be circular characteristics as the lighting source of IMAQ for cooperating cam lens, and the design lighting source is interior 8 and outer 8 dicyclo type array structure.The illuminance telemetry circuit selects for use the high-precision A/D conversion chip AD974 of ADI company as switching device, can select for use 0V ~+4V or 0V ~+5V or ± three kinds of optional changing voltage scopes of 10V, wideer than other ADC changing voltage scope; Its precision reaches 16; Slewing rate can reach 200ksps, is enough to satisfy the requirement of system to precision and speed, and new A DC chip AD974 compares with general ADC chip; Only need single+5V power supply; Support internal reference voltage and outside reference voltage simultaneously, its peripheral circuit is simple, thereby can simplify circuit design.Simultaneously, AD974 supports standard SPI interface also to be easy to be connected with the veneer industrial control computer.Can be in enterprising line parameter setting of touch-screen and feature operation, touch-screen is artifical resistance formula, resolution 4096*4096, Xiang Yingshijian< 10ms, skin hardness 3H, click life-spans 250 gram force degree, 1,000 ten thousand times, stroke life-spans 250 gram force degree, 1,000,000 times, transmittance more than 81%, PORT COM USB interface, can be under-10 ℃ to+60 ℃ environment operate as normal.On LCD, show the gained result, and can go out the result through printer prints.
Embodiment 12:
the described flour wet gluten of the foregoing description automatic testing method, application software mainly comprises primary control program, pickup light luminance detection and control program, webcam driver modular program, solution colour quick identification and normalized Analysis program and personal information administration module program.In pickup light luminance detection and control program the research utility model improve the BP neural network and realize the data fitting between A/D sampled data and the standard light brightness value.Can realize the control of conversion, amplification, collection and the illuminance size of illuminance signal; Make that illuminance is in the reasonable range, photographic images segmentation threshold and Feature Extraction be more accurate, reduces the deviation that the too high or too low identification that all can make color of illuminance takes place.Multiple digital image processing techniques such as image gray processing, binaryzation, smothing filtering, texture analysis, rim detection have been carried out comprehensive comparative studies; And the correlation theory of reference model identification, a kind of new color quick identification and normalized algorithm have been proposed.At first image is carried out gray scale and handle, be converted into gray level image to coloured image, employing is carried out weighted mean to the RGB three-component and is obtained gray level image.Then gray level image is transformed into bianry image, has adopted maximum entropy method (MEM) to come gray level image is carried out binary conversion treatment.Next carry out image filtering and remove the noise in the image, the utility model proposes a kind of image adaptive filtering method based on texture analysis on the basis of Nagao wave filter.This method is at first carried out texture analysis to image, and the result according to texture analysis determines the Nagao wave filter to adopt which kind of template (comprising linear template and rectangle template) which kind of direction to carry out auto adapted filtering in then.Carry out the identification and the detection of image at last, the utility model proposes a kind of new fast and effectively solution colour recognition methods.At first, when standard picture is carried out the atypia binary conversion treatment, note segmentation threshold, this threshold value multiply by sensitivity factor, and threshold value is subsequent use as a reference afterwards; Then; Image is carried out the pixel that rim detection is found out gray-scale value generation transition; Make comparisons with this gray values of pixel points and reference threshold; Do not accomplish washing if gray-scale value is just differentiated less than reference threshold for the flour wet gluten, accomplish washing otherwise just differentiate for the flour wet gluten, wherein rim detection is used improved Laplace edge detection algorithm.In addition; This application software can also be carried out intelligent management to all user of services' identity information; Software is each can to generate the report that has user's identity information and testing result information after using, and is convenient to very much to store, write down and the management of hommization such as printing.
Claims (8)
1. flour wet gluten automatic detection device; Comprise: industrial control computer, it is characterized in that: connect illuminance telemetry circuit, liquid crystal display, touch-screen, printer on the described industrial control computer, described illuminance telemetry circuit connects camera head.
2. flour wet gluten automatic detection device according to claim 1, it is characterized in that: described camera head comprises camera, and the lighting source and the camera lens of the bright white look light emitting diode with flicker free is housed on the described camera; Described camera is the colored technical grade camera of MV300UC type; Described camera highest resolution is 2048 * 1536; The maximum shooting speed of supporting per second 38 frames, signal to noise ratio (S/N ratio) are greater than 43dB, directly through the USB interface power supply; Power consumption is less than 1W, and described lighting source is interior 8 and outer 8 dicyclo type array structure.
3. flour wet gluten automatic detection device according to claim 1 and 2; It is characterized in that: described industrial control computer is 3.5 inches veneer industrial control computers; Described 3.5 inches veneer industrial control computers adopt chipset AMDLX800CPU, the AMDLX800+CS5536 with 1GB internal memory, provide a slot DDR SO-DIMM maximum can support 1GB; The audio frequency support decoding Realtek ALC203 with AC97 of described 3.5 inches veneer industrial control computers; The network of described 3.5 inches veneer industrial control computers provides 1 10/100Mbps Single RTL8100C network chip group, and described network chip group has PC/104, ISA bus, expansion slot and house dog; The mainboard port of described 3.5 inches veneer industrial control computers comprises 7 RS-232 of Digital IO port, 1 RS-232/422/485 of I/O interface, 4 USB 2.0 of display interface and 1 IDE of I/O interface; Described display interface comprises a 18-bit single channel LVDS and a 24-bit TTL port; Described mainboard is 8 layer printed circuit boards; Described printed circuit board (PCB) adopts the AT/ATX power supply, single 5V power supply.
4. flour wet gluten automatic detection device according to claim 1 and 2 is characterized in that: described touch-screen be artifical resistance formula, resolution 4096*4096, response time 10ms, skin hardness 3H, click life-spans 250 gram force degree, 1,000 ten thousand times, stroke life-spans 250 gram force degree, 1,000,000 times, transmittance 81%, PORT COM be USB interface, described USB interface can be under-10 ℃ to+60 ℃ environment operate as normal.
5. flour wet gluten automatic detection device according to claim 3 is characterized in that: described touch-screen be artifical resistance formula, resolution 4096*4096, response time 10ms, skin hardness 3H, click life-spans 250 gram force degree, 1,000 ten thousand times, stroke life-spans 250 gram force degree, 1,000,000 times, transmittance 81%, PORT COM be USB interface, described USB interface can be under-10 ℃ to+60 ℃ environment operate as normal.
6. according to claim 1 or 2 or 5 described flour wet gluten automatic detection devices; It is characterized in that: described LCDs is 6.4 or 8.1 inches two lamp brightness industry color LCD screens, interface mode LVDS, and display casing adopts aluminium alloy, firmly light, screen embeds anti-riot tempered glass, has the surface waterproofing function, screen is in hermetic configuration state, resolution is 640*480.
7. flour wet gluten automatic detection device according to claim 3; It is characterized in that: described LCDs is 6.4 or 8.1 inches two lamp brightness industry color LCD screens, interface mode LVDS, and display casing adopts aluminium alloy, firmly light, screen embeds anti-riot tempered glass, has the surface waterproofing function, screen is in hermetic configuration state, resolution is 640*480.
8. flour wet gluten automatic detection device according to claim 4; It is characterized in that: described LCDs is 6.4 or 8.1 inches two lamp brightness industry color LCD screens, interface mode LVDS, and display casing adopts aluminium alloy, firmly light, screen embeds anti-riot tempered glass, has the surface waterproofing function, screen is in hermetic configuration state, resolution is 640*480.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012200280780U CN202404031U (en) | 2012-01-23 | 2012-01-23 | Automatic wet flour gluten detecting device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012200280780U CN202404031U (en) | 2012-01-23 | 2012-01-23 | Automatic wet flour gluten detecting device |
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| Publication Number | Publication Date |
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| CN202404031U true CN202404031U (en) | 2012-08-29 |
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| CN2012200280780U Expired - Fee Related CN202404031U (en) | 2012-01-23 | 2012-01-23 | Automatic wet flour gluten detecting device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105424598A (en) * | 2014-11-29 | 2016-03-23 | 巫立斌 | Motor vehicle exhaust detecting method based on image recognition |
| CN113155630A (en) * | 2021-02-03 | 2021-07-23 | 克明面业股份有限公司 | Wheat flour quality evaluation method for fine dried noodles |
-
2012
- 2012-01-23 CN CN2012200280780U patent/CN202404031U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105424598A (en) * | 2014-11-29 | 2016-03-23 | 巫立斌 | Motor vehicle exhaust detecting method based on image recognition |
| CN113155630A (en) * | 2021-02-03 | 2021-07-23 | 克明面业股份有限公司 | Wheat flour quality evaluation method for fine dried noodles |
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Granted publication date: 20120829 Termination date: 20130123 |