CN109187373A - A kind of Tomato Quality detection system and detection method based on machine vision - Google Patents
A kind of Tomato Quality detection system and detection method based on machine vision Download PDFInfo
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- CN109187373A CN109187373A CN201811225680.1A CN201811225680A CN109187373A CN 109187373 A CN109187373 A CN 109187373A CN 201811225680 A CN201811225680 A CN 201811225680A CN 109187373 A CN109187373 A CN 109187373A
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- tomato
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
Abstract
The present invention relates to a kind of Tomato Quality detection system and detection method based on machine vision, it is characterized in that, including transmission device, opaque detection case and controller, it is symmetrically provided with opening in the left and right sides of the opaque detection case to pass through in order to which the transmission device carries tomato to be checked, the opening is respectively arranged with light-blocking curtain；Light source, spectrum camera and camera are provided in the opaque detection case, the camera and spectrum camera are connect with the controller.There are two the cameras, and the top of the opaque detection case is arranged in one of camera, another camera is arranged on the front end face or rear end face of the opaque detection case.The central axis upright of described two cameras is crossed to form 90 degree of angles；Described two cameras are realized while being shot.The present invention realizes the non-destructive testing to tomato size, pol, solves the problems such as low efficiency present in manual grading skill, subjectivity are strong, precision is low.
Description
Technical field
The invention belongs to Tomato Quality detection and classification technique fields, and in particular to a kind of tomato product based on machine vision
Quality inspection examining system and detection method.
Background technique
The size of tomato, containing pol be characterize Tomato Quality important feature, the classification of tomato often according to its size, contain
Pol is realized.Traditional classification is mainly by being accomplished manually, and the shortcomings that this hierarchical approaches is: low efficiency, at high cost, precision
Difference, large labor intensity.Since machine vision is a kind of contactless measurement method, it can be used for that tomato is this kind of to be easily damaged fruits and vegetables
Non-destructive testing, and machine vision applications can be greatly reduced into the labor intensity of people in tomato classification, also there is detection effect
The advantages that rate is high, precision is high.
Summary of the invention
The present invention devises a kind of Tomato Quality detection system and detection method based on machine vision, solves existing skill
The problem of there are low efficiencys to tomato manual grading skill in art, at high cost, low precision, large labor intensity.
In order to solve above-mentioned technical problem, one aspect of the present invention discloses a kind of tomato product based on machine vision
Quality inspection examining system, including transmission device, opaque detection case and controller, it is right in the left and right sides of the opaque detection case
It is provided with opening with claiming pass through in order to which the transmission device carries tomato to be checked, the opening is respectively arranged with light-blocking curtain；
Be provided with light source, spectrum camera and at least two cameras in the opaque detection case, the camera and spectrum camera with
The controller connection.
Further, there are two the cameras, the top of the opaque detection case is arranged in one of camera, separately
One camera is arranged on the front end face or rear end face of the opaque detection case.
Further, the central axis upright intersection of described two cameras, forms 90 degree of angles；Described two cameras by
The same signal of the controller is controlled to realize while shoot.
Further, described two cameras are monocular cams.
Further, the top of the opaque detection case is arranged in the spectrum camera.
Further, the light source is annular light source, and the center of top of the opaque detection case is arranged in；The spectrum phase
Machine and a camera are located in the ring of annular light source.
Further, photoelectric sensor, the photoelectric sensor and the control are additionally provided in the opaque detection case
Device connection.
Further, the photoelectric sensor is arranged on the front end face or rear end face of the opaque detection case close to be measured
One end of tomato import.
Further, the controller is industrial personal computer；The industrial personal computer includes two image pick-up cards, and one of image is adopted
Truck is corresponding with the camera, another image pick-up card is corresponding with the spectrum camera.
Further, the transmission device includes conveyer belt, and the conveyer belt passes through the opaque detection case.
Further, the color of the light-blocking curtain is black.
Further, the color of the opaque detection case is black.
On the other hand, the Tomato Quality detection method based on machine vision that the invention discloses a kind of,
Firstly, detection system sends a signal to controller when transmission device carries tomato to be measured and enters opaque detection case；
Secondly, controller triggers camera and spectrum camera after receiving signal, make camera and spectrum camera acquisition figure respectively
Picture is simultaneously respectively sent in the respective image capture card of controller；
Finally, controller performs corresponding processing the image in respective image capture card respectively, and according to the classification mark of setting
Standard determines Tomato Quality, and output determines result.
Further, when transmission device, which carries tomato to be measured, enters opaque detection case, tomato to be measured triggers opaque inspection
Level change occurs for the photoelectric sensor in measuring tank, photoelectric sensor and by level change signal to controller.
Further, controller triggers camera after receiving signal and spectrum camera, two or more cameras are clapped simultaneously
It takes the photograph, it is ensured that obtain the same tomato in the top view and side view of synchronization；The spectrogram on spectrum camera acquisition tomato surface
As information.
The Tomato Quality detection system and detection method based on machine vision have the advantages that
(1) present invention can be realized non-destructive testing to tomato size, pol, solve low efficiency present in manual grading skill,
The problems such as subjectivity is strong, precision is low.
(2) present invention is placed using two cameras at 90 degree, after camera receives signal, is taken pictures simultaneously, it is ensured that obtain
The same tomato is obtained in the top view and side view of synchronization, 75% or more of tomato surface can be covered, error is reduced, can obtain
Obtain accurate tomato size information.
(3) present invention uses spectrum camera, obtains the spectral information on tomato surface, then is passed its information by image pick-up card
Sending to industrial personal computer can get tomato pol information after industrial personal computer processing analysis.Structure is simple, at low cost.
Detailed description of the invention
Fig. 1: the structural schematic diagram of the Tomato Quality detection system in embodiment of the present invention based on machine vision；
Fig. 2: the structural schematic diagram of detection case and industrial personal computer in embodiment of the present invention；
Fig. 3: the main view of detection case in embodiment of the present invention；
Fig. 4: vision-based detection principle figure in embodiment of the present invention.
Description of symbols:
1-opaque detection case；11-light sources；12-cameras I；13-spectrum cameras；14-light-blocking curtains I；15-light-blocking curtains
Ⅱ；16-cameras II；17-photoelectric sensors；2-controllers；21-image pick-up cards I；22-image pick-up cards II；
23-power supplys；3-transmission devices；4-tomatoes to be checked.
Specific embodiment
With reference to the accompanying drawing, the present invention will be further described:
Fig. 1 to Fig. 4 shows the specific embodiment of the Tomato Quality detection system the present invention is based on machine vision.Fig. 1 is this
The structural schematic diagram of Tomato Quality detection system in embodiment based on machine vision；Fig. 2 and Fig. 3 be in present embodiment not
The structural schematic diagram of light transmission detection case and industrial personal computer；Fig. 4 is vision-based detection principle figure in present embodiment.
As shown in Figure 1, the Tomato Quality detection system based on machine vision in present embodiment, including transmission device 3,
Opaque detection case 1 and controller 2 are symmetrically provided with opening in the left and right sides of opaque detection case 1 in order to transmit
Device 3 carries tomato 4 to be checked and passes through, and the opening is respectively arranged with light-blocking curtain, and tomato 4 to be checked is facilitated to enter and leave impermeable light detection
External environment is kept not interfere generating inside opaque detection case 1 while case 1；Light is provided in opaque detection case 1
Source 11, at least two cameras, spectrum camera 13, the camera and spectrum camera 13 are connect with controller 2.Use spectrum phase
Machine 13 can get tomato pol information using spectral principle.
In the present embodiment, the opening on opaque 1 left side of detection case is provided with light-blocking curtain I 14, opaque detection case 1
Opening on right side is provided with light-blocking curtain II 15.The color of light-blocking curtain is black.The color of opaque detection case 1 is black
Color.
Preferably, there are two the cameras, the top of opaque detection case 1, such as Fig. 2 is arranged in one of camera
In camera I 12, another camera is arranged on the front end face or rear end face of opaque detection case 1, such as the camera shooting in Fig. 2
First II 16.
Preferably, the central axis upright intersection of described two cameras, forms 90 degree of angles；Described two cameras by
The same signal of the controller is controlled to realize while shoot, as shown in Figure 3.Two cameras acquire image, i.e., two simultaneously
A camera is taken pictures simultaneously can get the image of the same tomato synchronization different angle, cover entire tomato surface 75% with
On, error is greatly reduced, ensure that the accuracy of detection.And the method for 90 degree of placement cameras is also easy to realize.
In the present embodiment, described two cameras are monocular cams.
Preferably, the top of opaque detection case 1 is arranged in spectrum camera 13, as shown in Figures 2 and 3.Use spectrum phase
Machine 13 makes the system not only be only capable of detection tomato size, can also detect the pol of tomato, substantially increase classification efficiency.
Preferably, light source 11 is annular light source, and the center of top of opaque detection case 1 is arranged in, can make black box interior lights
Line is more uniform, to obtain good image effect；Spectrum camera 13 and a camera, i.e. camera I 12 are located at ring light
In the ring in source, as shown in Figures 2 and 3.
Preferably, it is additionally provided with photoelectric sensor 17 in opaque detection case 1, photoelectric sensor 17 is connect with controller 2.
Specifically, photoelectric sensor 17 is arranged on the front end face or rear end face of opaque detection case 1 close to tomato to be measured
One end of import, as shown in Figures 2 and 3.
Preferably, controller 3 is industrial personal computer；Industrial personal computer include two image pick-up cards, one of image pick-up card with
The camera is corresponding, the image pick-up card I 21 in as shown in Figure 1, Figure 2 and Fig. 4；Another image pick-up card and spectrum camera 13
Corresponding, in as shown in Figure 1, Figure 2 and Fig. 4 image pick-up card II 22.
Preferably, transmission device 3 includes conveyer belt, and conveyer belt carries tomato 4 to be checked and passes through opaque detection case 1.
In the present embodiment, industrial personal computer, photoelectric sensor 17, annular light source 11 are connected with same power supply 23 respectively.
The detection method of the Tomato Quality detection system based on machine vision, comprising:
Firstly, detection system sends a signal to controller when transmission device 3 carries tomato 4 to be measured and enters opaque detection case 1
2；
Secondly, controller 2 triggers camera and spectrum camera 17 after receiving signal, adopt camera and spectrum camera 13 respectively
Collection image is simultaneously respectively sent in the respective image capture card of controller 2；
Finally, controller 2 performs corresponding processing the image in respective image capture card respectively, and according to the classification mark of setting
Standard determines Tomato Quality, and output determines result.
Preferably, when transmission device 3, which carries tomato 4 to be measured, enters opaque detection case 1, tomato 4 to be measured triggers impermeable
Level change occurs for the photoelectric sensor 17 in light detection case 1, photoelectric sensor 17 and by level change signal to controller 2.
Preferably, controller 2 triggers camera and spectrum camera 13 after receiving signal, and two or more cameras are simultaneously
Shooting, it is ensured that obtain the same tomato in the top view and side view of synchronization；The light on the acquisition of spectrum camera 13 tomato surface
Compose image information.
Specifically, in the present embodiment, tomato 4 to be measured enters opaque detection case 1, and triggering photoelectric sensor 17 makes photoelectric transfer
Level change occurs for sensor 17, and industrial personal computer triggers camera and spectrum camera after receiving 17 level change signal of photoelectric sensor
13 make it acquire image, and in tomato moves with conveyer belt, corresponding image pick-up card respectively transmits the image information of acquisition
Into industrial personal computer, industrial personal computer handles the image of acquisition, determines Tomato Quality according to the grade scale of setting.
The system can be realized the non-destructive testing to tomato size pol, solve low efficiency present in manual grading skill,
The problems such as subjectivity is strong, precision is low.
The system is placed using two cameras at 90 degree, after camera receives signal, is taken pictures simultaneously, it is ensured that is obtained same
One tomato can cover 75% or more of tomato surface in the top view and side view of synchronization, reduce error, can get ratio
More accurate tomato size information.
The system uses spectrum camera, obtains the spectral information on tomato surface, then is transmitted its information by image pick-up card
It can get tomato pol information after industrial personal computer processing analysis to industrial personal computer.
Above in conjunction with attached drawing, an exemplary description of the invention, it is clear that realization of the invention is not by aforesaid way
Limitation, as long as use the inventive concept and technical scheme of the present invention carry out various improvement, or it is not improved will be of the invention
Conception and technical scheme directly apply to other occasions, be within the scope of the invention.
Claims (10)
1. a kind of Tomato Quality detection system based on machine vision, which is characterized in that including transmission device, opaque detection case
And controller, opening is symmetrically provided in the left and right sides of the opaque detection case in order to transmission device carrying
Tomato to be checked passes through, and the opening is respectively arranged with light-blocking curtain；Light source, spectrum camera are provided in the opaque detection case
With at least two cameras, the camera and spectrum camera are connect with the controller.
2. the Tomato Quality detection system according to claim 1 based on machine vision, which is characterized in that the camera
There are two, the top of the opaque detection case is arranged in one of camera, another camera is arranged described impermeable
On the front end face or rear end face of light detection case.
3. the Tomato Quality detection system according to claim 2 based on machine vision, which is characterized in that described two to take the photograph
As the central axis upright intersection of head, 90 degree of angles are formed；Described two cameras are controlled by the same signal of the controller
To realize while shoot.
4. the Tomato Quality detection system according to claim 1,2 or 3 based on machine vision, which is characterized in that described
The top of the opaque detection case is arranged in spectrum camera.
5. the Tomato Quality detection system according to claim 1,2 or 3 based on machine vision, which is characterized in that described
Light source is annular light source, and the center of top of the opaque detection case is arranged in；The spectrum camera and a camera are located at
In the ring of annular light source.
6. the Tomato Quality detection system according to any one of claims 1 to 5 based on machine vision, which is characterized in that institute
It states and is additionally provided with photoelectric sensor in opaque detection case, the photoelectric sensor is connect with the controller；The photoelectric transfer
One end on the front end face or rear end face of the opaque detection case close to tomato import to be measured is arranged in sensor.
7. the Tomato Quality detection system according to any one of claims 1 to 6 based on machine vision, which is characterized in that institute
Stating controller is industrial personal computer；The industrial personal computer includes two image pick-up cards, one of image pick-up card and the camera
Corresponding, another image pick-up card is corresponding with the spectrum camera.
8. a kind of Tomato Quality detection method based on machine vision, which is characterized in that
Firstly, detection system sends a signal to controller when transmission device carries tomato to be measured and enters opaque detection case；
Secondly, controller triggers camera and spectrum camera after receiving signal, make camera and spectrum camera acquisition figure respectively
Picture is simultaneously respectively sent in the respective image capture card of controller；
Finally, controller performs corresponding processing the image in respective image capture card respectively, and according to the classification mark of setting
Standard determines Tomato Quality, and output determines result.
9. the Tomato Quality detection method according to claim 8 based on machine vision, which is characterized in that work as transmission device
When carrying tomato to be measured into opaque detection case, tomato to be measured triggers the photoelectric sensor in opaque detection case, photoelectric transfer
Level change occurs for sensor and by level change signal to controller.
10. the Tomato Quality detection method according to claim 8 based on machine vision, which is characterized in that controller connects
Camera is triggered after receiving signal and spectrum camera, two or more cameras are shot simultaneously, it is ensured that is obtained the same tomato and is existed
The top view and side view of synchronization；The spectral image information on spectrum camera acquisition tomato surface.
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| CN201811225680.1A CN109187373A (en) | 2018-10-21 | 2018-10-21 | A kind of Tomato Quality detection system and detection method based on machine vision |
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| CN201811225680.1A CN109187373A (en) | 2018-10-21 | 2018-10-21 | A kind of Tomato Quality detection system and detection method based on machine vision |
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| CN110523657A (en) * | 2019-09-03 | 2019-12-03 | 广州能源检测研究院 | A kind of instrument appearance delection device and its working method based on 3D scanning method |
| CN110554040A (en) * | 2019-09-09 | 2019-12-10 | 云南农业大学 | machine vision acquisition device for pseudo-ginseng seedlings and detection method thereof |
| CN111307828A (en) * | 2020-03-13 | 2020-06-19 | 安徽工程大学 | Equipment for detecting defects of intelligent household control panel and detection method thereof |
| CN112775008A (en) * | 2020-12-17 | 2021-05-11 | 广州市永合祥自动化设备科技有限公司 | Visual sorting detection system |
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| CN112775008A (en) * | 2020-12-17 | 2021-05-11 | 广州市永合祥自动化设备科技有限公司 | Visual sorting detection system |
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