CN109916847A - A kind of cold cuts quality detection system and detection method based on characteristic wave bands image - Google Patents
A kind of cold cuts quality detection system and detection method based on characteristic wave bands image Download PDFInfo
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Abstract
A kind of cold cuts quality detection system based on characteristic wave bands image, including bracket and control mechanism are provided with the conveying mechanism for conveying meat to be detected on bracket, are provided with testing agency above conveying mechanism, the end of conveying mechanism is connected with sorting mechanism；Testing agency includes several CCD industrial cameras for incuding the photoelectric sensor of meat position to be detected, for shooting meat to be detected and at least one is used to carry out meat to be detected the halogen light source of light filling, is provided with an optical filter in front of the camera lens of each CCD industrial camera；Sorting mechanism includes the sorting groove being connected to conveying mechanism, and steering engine and guide plate are provided in sorting groove, and servo driving is connected with sorting arm；Control mechanism includes that the front controller of electrical connection and detection host, front controller are electrically connected with photoelectric sensor and steering engine, and detection host is electrically connected with conveying mechanism and CCD industrial camera.The present invention can quickly and efficiently detect meat quality, and low in cost.
Description
Technical field
The present invention relates to cold cuts Quality Detection technical field, specifically a kind of cold cuts product based on characteristic wave bands image
Quality inspection examining system and detection method.
Background technique
With the continuous improvement of the increasingly developed and living standards of the people of society, more and more consumers is choosing food
When focus more on food safety and nutritive value it is horizontal.Traditional food quality detection method, such as: subjective appreciation, physics and chemistry
Detection etc., there are complicated cumbersome, the detection process time and effort consuming of pretreatment early period, testing cost is high, needs the disadvantages of destroying sample,
Be not suitable for the quick detection of modernization food quality information.And high light spectrum image-forming technology is outstanding qualitative, quantitative and fixed with its
Capability is more and more applied in food quality detection, in food quality classification, adulterated fraud detection, Quality Safety
The description of information quantitative visualization and the identification of various diseases and defect etc. have biggish development potentiality.
However in current numerous researchs, built primarily directed to the method for spectrum and characteristics of image and detection model
It is vertical, and the research for the light spectrum image-forming detection device of actual production is less, this quick light in actual production application
Spectrum image detecting technique can't be used preferably.Especially in cooked meat product production, because it joined complicated adjusting wind
The condiment of taste will obtain the spectral image information of measurand in the system of this complexity, this undoubtedly increases EO-1 hyperion inspection
The performance requirement of measurement equipment.The generally existing following problem of current EO-1 hyperion detection device:
(1) delivery platform of bloom spectra system is mostly reciprocating conveying, is tested by the transmission effect of screw rod slide unit
The scanning of sample is limited to by the length of screw rod, it has to carry out toward multiplexing movement.
It (2) is a full wave acquisition, Information Number collected in this way when bloom spectra system carries out spectrum picture acquisition
Big according to amount, acquisition time is long, considerably increases difficulty and the time of analysis processing.
(3) expensive currently used for the EO-1 hyperion detection device of research, an equipment price is in hundreds of thousands to up to a million
It differs, this undoubtedly will increase the cost of food production processing, and the enterprise of most food processing and production is caused powerlessly to use.
Summary of the invention
In order to solve deficiency in the prior art, the present invention provides a kind of cold cuts Quality Detection based on characteristic wave bands image
System and detection method can quickly and efficiently detect meat quality, and low in cost.
To achieve the goals above, the present invention use the specific scheme is that a kind of cold cuts product based on characteristic wave bands image
Quality inspection examining system, including bracket and control mechanism are provided with the conveying mechanism for conveying meat to be detected, conveyer on bracket
Testing agency is provided with above structure, the end of conveying mechanism is connected with sorting mechanism；The testing agency includes for incuding
The photoelectric sensor of the meat position to be detected, several CCD industrial cameras and at least one for shooting meat to be detected
The camera lens front of a halogen light source for meat to be detected progress light filling, each CCD industrial camera is provided with a filter
Mating plate；The sorting mechanism includes the sorting groove being connected to the conveying mechanism, and steering engine and guide plate, rudder are provided in sorting groove
Machine drive connection has sorting arm, and sorts arm towards conveying mechanism, and guide plate is backwards to conveying mechanism, and the extension of guide plate
Direction is identical as the extending direction of sorting groove；The control mechanism includes the front controller and detection host of electrical connection, front end
Controller is electrically connected with the photoelectric sensor and the steering engine, detects host and the conveying mechanism and the CCD industry phase
Mechatronics.
As a preferred embodiment, the bracket includes several supporting legs, is fixedly connected with cross between two neighboring supporting leg
Beam is connected between supporting leg and crossbeam by connector, and the lower end of each supporting leg is fixedly connected to a universal wheel.
As a preferred embodiment, the conveying mechanism includes the decelerating motor of fixed setting on the bracket, is slowed down
Motor has food transmission belt by regulating box drive connection, and the two sides of food transmission belt are each provided with a protective edge, the photoelectricity
Sensor is fixed at the inside of one of protective edge and is located at the top of food transmission belt.
As a preferred embodiment, the sorting groove includes the bottom plate being obliquely installed, and the upper end of bottom plate and the food pass
The end of defeated band is concordant, and the two sides of bottom plate are respectively fixedly connected with a guardrail, and guardrail is mutually perpendicular to bottom plate, in bottom plate
Portion offers through-hole, and a part of the steering engine is embedded in through-holes, and the output shaft of steering engine is fixedly connected with shaft connecting part, connecting shaft
Component is fixedly connected after stretching out in through-hole with the sorting arm.
As a preferred embodiment, mounting rack is fixedly installed on the bracket, the halogen light source is fixed at peace
It shelves and tilts down, the CCD industrial camera is fixed on mounting rack and camera lens is down-set.
As a preferred embodiment, the CCD industrial camera is set as three, and the halogen light source is set as two, and
And two halogen light sources are symmetrical arranged about a CCD industrial camera is located in the middle.
As a preferred embodiment, it is located in the middle the CCD industrial camera and is set as color camera, other two
CCD industrial camera is set as black and white camera, and the spectrum of the optical filter in front of the camera lens of one of black and white camera is
860nm, the spectrum of the optical filter in front of the camera lens of another black and white camera are 800-1000nm.
A kind of detection method of the cold cuts quality detection system based on characteristic wave bands image, includes the following steps:
S1, the meat to be detected is placed on the conveying mechanism, conveying mechanism drives meat to be detected mobile；
S2, the detection host incude the position of meat to be detected by the front controller and the photoelectric sensor；
S3, when meat to be detected trigger photoelectric sensor when, detection host control three CCD industrial cameras to meat to be detected
Product are taken pictures, and wide glistening light of waves spectrogram between narrow wave spectrum image and near infrared region is respectively obtained between tri- tomographic image of RGB, near infrared region
Picture；
S4, detection host pass through wide wave spectrum image between narrow wave spectrum image and near infrared region between tri- tomographic image of RGB, near infrared region
The quality of meat to be detected is analyzed, and meat to be detected is classified according to analysis result；
S5, detection host drive the steering engine by front controller, drive the guide plate mobile by steering engine, thus to be checked
Meat is surveyed to guide.
It moves reciprocatingly the utility model has the advantages that the present invention does not need meat to be detected in the detection process, saves detection time,
Improve detection efficiency；Realize that once photo taking obtains multiple and different spectral signatures by the cooperation of CCD industrial camera and optical filter
Effect reduce the degree of difficulty of subsequent analysis meat quality to be detected, further to reduce the complexity of detection data
Save analysis time；In addition, the transmission of sample, Image Acquisition, attributional analysis and sorting are all automatic complete in equipment running process
At, it is participated in manually without worker, and all parts of the present invention are conventional components, it is low in cost.
Detailed description of the invention
Fig. 1 is the overall structure diagram of detection system of the present invention；
Fig. 2 is the sorting mechanism cross-sectional view of detection system of the present invention；
Fig. 3 is the sorting mechanism top view of detection system of the present invention；
Fig. 4 is the spectral information figure of sample in the embodiment of the present invention.
Appended drawing reference: 1- universal wheel, 2- supporting leg, 3- connector, 4- decelerating motor, 5- regulating box, 6- protective edge, 7- lamp holder,
8- halogen light source, 9-CCD industrial camera, 10- meat to be detected, 11- photoelectric sensor, 12- food transmission belt, 13- sorting groove,
14- sorting mechanism, 15- front controller, 16- detect host, 17- guardrail, 18- bottom plate, 19- sorting arm, the fastening spiral shell of 20- first
Bolt, 21- steering engine, the second fastening bolt of 22-, 23- shaft connecting part, 24- guide plate, 25- third fastening bolt.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Please refer to Fig. 1 to 3, a kind of cold cuts quality detection system based on characteristic wave bands image, including bracket and control machine
Structure is provided with the conveying mechanism for conveying meat 10 to be detected on bracket, is provided with testing agency above conveying mechanism, defeated
The end of mechanism is sent to be connected with sorting mechanism 14.
Testing agency includes for incuding the photoelectric sensor 11 of 10 position of meat to be detected, for shooting meat to be detected
10 several CCD industrial cameras 9 are used to carry out meat 10 to be detected the halogen light source 8 of light filling, each CCD at least one
An optical filter is provided in front of the camera lens of industrial camera 9.
Sorting mechanism 14 includes the sorting groove 13 being connected to conveying mechanism, is provided with steering engine 21 and guide plate in sorting groove 13
24, the drive connection of steering engine 21 has sorting arm 19, and sorts arm 19 towards conveying mechanism, guide plate 24 backwards to conveying mechanism, and
And the extending direction of guide plate 24 is identical as the extending direction of sorting groove 13.
Control mechanism includes the front controller 15 and detection host 16, front controller 15 and photoelectric sensor of electrical connection
11 and steering engine 21 be electrically connected, detection host 16 be electrically connected with conveying mechanism and CCD industrial camera 9.
When being detected to meat 10 to be detected, meat 10 to be detected is put on conveying mechanism first, is then conveyed
Meat 10 to be detected is transported to the lower section of CCD industrial camera 9 by mechanism, and photoelectric sensor 11 triggers at this time, in halogen light source 8
Under light filling effect, detection host 16 starts CCD industrial camera 9 by front controller 15 and takes pictures to meat 10 to be detected,
The characteristic spectrum image of meat 10 to be detected is obtained, optical filter is used to filter the light of different-waveband, makes each CCD industrial camera
9 spectrum pictures taken are all different, to obtain the spectral signature of meat 10 to be detected, detection host 16 is getting light
Spectral signature is analyzed after spectrogram picture, so that the quality parameter of meat 10 to be detected is obtained, it is logical then according to quality parameter
Crossing control steering engine 21 drives sorting arm 19 to rotate, so that the meat after detection is directed to the not ipsilateral of guide plate 24, completes to meat
The sorting of product finally separates the meat of different qualities and stores.
Detection system of the invention does not need meat 10 to be detected and does compared with EO-1 hyperion detection device in the prior art
It moves back and forth, saves detection time, improve detection efficiency；It is realized by the cooperation of CCD industrial camera 9 and optical filter primary
It takes pictures and obtains the effect of multiple and different spectral signatures, to reduce the complexity of detection data, it is to be checked to reduce subsequent analysis
The degree of difficulty of 10 quality of meat is surveyed, further saves analysis time；In addition, the transmission of sample, image are adopted in equipment running process
Collection, attributional analysis and sorting are all automatically performed, and are participated in manually without worker, and all parts of the present invention are
Conventional components, it is low in cost.
In order to improve the convenience that system uses, bracket includes several supporting legs 2, fixed company between two neighboring supporting leg 2
Be connected to crossbeam, be connected between supporting leg 2 and crossbeam by connector 3, the lower end of each supporting leg 2 be fixedly connected to one it is universal
Wheel 1 can according to need the position using the mobile bracket of universal wheel 1 when in use, thus facilitate placed on conveying mechanism to
It detects meat 10 and collects the meat after the sorting of sorting mechanism 14.Specifically, connector 3 is set as right angle trigonometry connection
Part.
Further, conveying mechanism includes the decelerating motor 4 being fixed on bracket, and decelerating motor 4 passes through regulating box 5
Drive connection has food transmission belt 12, and the two sides of food transmission belt 12 are each provided with a protective edge 6, and the fixation of photoelectric sensor 11 is set
Set in the wherein inside of a protective edge 6 and be located at the top of food transmission belt 12.Protective edge 6 is used to carry out meat 10 to be detected
Limit, avoids meat 10 to be detected from falling.
Further, sorting groove 13 includes the bottom plate 18 being obliquely installed, the upper end of bottom plate 18 and the end of food transmission belt 12
Hold level with both hands together, the two sides of bottom plate 18 respectively pass through several third fastening bolts 25 and are fixedly connected with a guardrail 17, and guardrail 17
It is mutually perpendicular to bottom plate 18, the middle part of bottom plate 18 offers through-hole, if a part of steering engine 21 is embedded in through-holes and passes through
Dry second fastening bolt 22 is fixedly connected with bottom plate 18, and the output shaft of steering engine 21 is fixedly connected with shaft connecting part 23, connecting shaft portion
Part 23 is fixedly connected by several first fastening bolts 20 with sorting arm 19 after stretching out in through-hole.Detection host 16 is being analyzed
After obtaining the quality parameter of meat 10 to be detected, quality parameter and pre-set parameter threshold are compared, if product
Matter parameter is more than or equal to parameter threshold, then controls host 16 and drive steering engine 21 to drive sorting arm 19 by front controller 15
It is rotated to the first side of guide plate 24, one side closed by the of guide plate 24 using sorting arm 19, meat falls from conveying mechanism
It first moves along sorting arm 19 after falling in sorting groove 13, is finally fallen from second side of guide plate 24；If quality parameter is small
In parameter threshold, then controls host 16 and drive steering engine 21 to drive sorting arm 19 to the second of guide plate 24 by front controller 15
Side rotation, falls meat from the first side of guide plate 24, realizes the sorting to meat.
Further, mounting rack is fixedly installed on bracket, halogen light source 8 is fixed on mounting rack by lamp holder 7
And it tilts down, CCD industrial camera 9 is fixed on mounting rack and camera lens is down-set.
Further, CCD industrial camera 9 is set as three, is located in the middle a CCD industrial camera 9 and is set as colored
Camera, it is attached that the RGB channel for the photo that color camera takes can obtain respectively visible light region 436nm, 546nm and 700nm
Close spectral information, other two CCD industrial camera 9 are set as black and white camera, in front of the camera lens of one of black and white camera
The spectrum of optical filter is 860nm, and the spectrum of the optical filter in front of the camera lens of another black and white camera is 800-1000nm.Halogen
Light source 8 is set as two, and two halogen light sources 8 are symmetrical arranged about a CCD industrial camera 9 is located in the middle, and two
The direction of illumination of halogen light source 8 is oppositely arranged.
In the present embodiment, front controller 15 is set as 89C516 type single-chip microcontroller, and control host 16 is set as commonly counting
Calculation machine, three CCD industrial cameras 9 are disposed as area array cameras.
The present invention also provides a kind of detection methods of cold cuts quality detection system based on characteristic wave bands image, including S1 is extremely
S5。
S1, meat 10 to be detected is placed on conveying mechanism, conveying mechanism drives meat 10 to be detected mobile.
S2, detection host 16 incude the position of meat 10 to be detected by front controller 15 and photoelectric sensor 11.
S3, when meat 10 to be detected trigger photoelectric sensor 11 when, detection host 16 control three CCD industrial cameras 9 it is right
Meat 10 to be detected is taken pictures, and is respectively obtained wide between narrow wave spectrum image and near infrared region between tri- tomographic image of RGB, near infrared region
Wave spectrum image.Tri- tomographic image of RGB includes three channels, respectively corresponds that visible light is blue, green, red trichromatism, and corresponding wavelength is distinguished
For 436nm, near 546nm, 700nm, the channel that narrow wave spectrum image includes between near infrared region corresponds to the narrow of near-infrared 860nm
Wave, the infrared wide wave spectrum image in section correspond to the wide wave of near-infrared 800-1000nm.Light source is irradiated to the warp of the light on sample
It is reflected into optical filter, the elimination effect through optical filter goes the reflected light unless characteristic wave bands, spectrum picture is greatly reduced
Information content shortens detection duration, reduces the overall cost of equipment.
S4, detection host 16 pass through the wide glistening light of waves between narrow wave spectrum image and near infrared region between tri- tomographic image of RGB, near infrared region
The quality of image analysis meat 10 to be detected is composed, and meat 10 to be detected is classified according to analysis result.
S5, detection host 16 drive steering engine 21 by front controller 15, drive guide plate 24 mobile by steering engine 21, thus
Meat 10 to be detected is guided.
The present invention is verified below.
Beef is purchased from market, and the beef of 5cmx5cmx2cm is partitioned into from positions such as pig loin, fore shank, hind shank
It is 150 pieces total.After the marinated and tumblings such as addition salt, pepper powder, carry out fried.150 pieces of beef are distinguished grillING 0-10 minutes, obtain
150 parts of samples.After placing room temperature, the model IST50-3810's that is produced with German Inno-SpecGmbH company is visible-close red
Outer hyperspectral imager acquires sample spectra, and image segmentation and spectrum extraction are carried out in matlab software.Extract result such as
Shown in Fig. 4, sample curve of spectrum general nature of 1288 wave bands within the scope of 370~1023nm is shortwave section (blue green light)
Reflected value is low, and long wave section (feux rouges and infrared) reflected value is high, thus beef showed in mankind's eye it is partially red.Beef spectrum
Visible light difference be primarily present in 440nm-550nm wave band and 809~956nm, with the extension of heating time, spectral reflectance
Value gradually increases, and the spectrum of different beef is similar on other most of wave bands.Therefore the present invention is by meat to be detected
10 take pictures, and are feasible using the quality that spectral information obtains meat 10 to be detected, and the present invention is filtered by optical filter
The verbose spectral image information of repetition is removed, the quality of meat 10 to be detected can be rapidly and efficiently analyzed.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (8)
1. a kind of cold cuts quality detection system based on characteristic wave bands image, it is characterised in that: including bracket and control mechanism, branch
It is provided with the conveying mechanism for conveying meat to be detected (10) on frame, testing agency is provided with above conveying mechanism, conveys
The end of mechanism is connected with sorting mechanism (14)；
The testing agency include for incude the photoelectric sensor (11) of meat to be detected (10) position, for shoot to
Detect meat (10) several CCD industrial cameras (9) and at least one be used for meat to be detected (10) progress light filling halogen
The camera lens front of plain light source (8), each CCD industrial camera (9) is provided with an optical filter；
The sorting mechanism (14) includes the sorting groove (13) being connected to the conveying mechanism, is provided with steering engine in sorting groove (13)
(21) and guide plate (24), steering engine (21) drive connection have sorting arm (19), and sort arm (19) towards conveying mechanism, guiding
Plate (24) is backwards to conveying mechanism, and the extending direction of guide plate (24) is identical as the extending direction of sorting groove (13)；
The control mechanism include electrical connection front controller (15) and detect host (16), front controller (15) with it is described
Photoelectric sensor (11) and the steering engine (21) electrical connection, detect host (16) and the conveying mechanism and the CCD industry phase
Machine (9) electrical connection.
2. a kind of cold cuts quality detection system based on characteristic wave bands image as described in claim 1, it is characterised in that: described
Bracket includes several supporting legs (2), and crossbeam is fixedly connected between two neighboring supporting leg (2), is passed through between supporting leg (2) and crossbeam
Connector (3) is connected, and the lower end of each supporting leg (2) is fixedly connected to a universal wheel (1).
3. a kind of cold cuts quality detection system based on characteristic wave bands image as described in claim 1, it is characterised in that: described
Conveying mechanism includes the decelerating motor (4) of fixed setting on the bracket, and decelerating motor (4) is connected by regulating box (5) driving
It is connected to food transmission belt (12), the two sides of food transmission belt (12) are each provided with a protective edge (6), the photoelectric sensor (11)
It is fixed at the inside of one of protective edge (6) and is located at the top of food transmission belt (12).
4. a kind of cold cuts quality detection system based on characteristic wave bands image as claimed in claim 3, it is characterised in that: described
Sorting groove (13) includes the bottom plate (18) being obliquely installed, and the upper end of bottom plate (18) and the end of the food transmission belt (12) are flat
Together, the two sides of bottom plate (18) are respectively fixedly connected with a guardrail (17), and guardrail (17) is mutually perpendicular to bottom plate (18), bottom plate
(18) through-hole is offered in the middle part of, a part of the steering engine (21) is embedded in through-holes, and the output shaft of steering engine (21) is fixed to be connected
It is connected to shaft connecting part (23), shaft connecting part (23) is fixedly connected after stretching out in through-hole with the sorting arm (19).
5. a kind of cold cuts quality detection system based on characteristic wave bands image as described in claim 1, it is characterised in that: described
Mounting rack is fixedly installed on bracket, the halogen light source (8) is fixed on mounting rack and tilts down, the CCD
Industrial camera (9) is fixed on mounting rack and camera lens is down-set.
6. a kind of cold cuts quality detection system based on characteristic wave bands image as claimed in claim 5, it is characterised in that: described
CCD industrial camera (9) is set as three, and the halogen light source (8) is set as two, and two halogen light sources (8) are about position
It is symmetrical arranged in an intermediate CCD industrial camera (9).
7. a kind of cold cuts quality detection system based on characteristic wave bands image as claimed in claim 5, it is characterised in that: be located at
An intermediate CCD industrial camera (9) is set as color camera, and other two CCD industrial camera (9) is set as black and white phase
Machine, the spectrum of the optical filter in front of the camera lens of one of black and white camera are 860nm, the camera lens of another black and white camera
The spectrum of the optical filter in front is 800-1000nm.
8. a kind of detection method of the cold cuts quality detection system based on characteristic wave bands image as claimed in claim 7, special
Sign is: including the following steps:
S1, the meat (10) to be detected is placed on the conveying mechanism, conveying mechanism drives meat (10) to be detected to move
It is dynamic；
S2, the detection host (16) incude meat to be detected by the front controller (15) and the photoelectric sensor (11)
The position of product (10)；
S3, when meat to be detected (10) trigger photoelectric sensor (11) when, detection host (16) control three CCD industry phases
Machine (9) takes pictures to meat to be detected (10), respectively obtains between tri- tomographic image of RGB, near infrared region narrow wave spectrum image and close
The infrared wide wave spectrum image in section；
S4, detection host (16) pass through wide wave spectrum between narrow wave spectrum image and near infrared region between tri- tomographic image of RGB, near infrared region
The quality of image analysis meat to be detected (10), and meat to be detected (10) is classified according to analysis result；
S5, detection host (16) drive the steering engine (21) by front controller (15), drive the guiding by steering engine (21)
Plate (24) is mobile, to guide to meat to be detected (10).
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Application publication date: 20190621 |