CN104624515A - Machine vision based freshwater fish variety on-line classification system - Google Patents
Machine vision based freshwater fish variety on-line classification system Download PDFInfo
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- CN104624515A CN104624515A CN201310557605.6A CN201310557605A CN104624515A CN 104624515 A CN104624515 A CN 104624515A CN 201310557605 A CN201310557605 A CN 201310557605A CN 104624515 A CN104624515 A CN 104624515A
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Abstract
The invention relates to a machine vision based freshwater fish variety on-line classification system, which consists of a computer, a camera, a light box, a belt conveyor, a fish distribution mechanism, infrared proximity switches, a fish distribution mechanism controller and a fish collection device. An image capture and processing system composed of the computer, the camera and the light box can capture the image of fish on the conveyor and perform processing, then sends the processing result, i.e. the information of the fish variety to the fish distribution mechanism controller so as to drive the fish distribution mechanism to conduct sorting operation, thus finally completing online classification operation on fish.
Description
Technical field
The present invention relates to one and process pretreated assortment clearing system for fresh-water fishes, specifically a kind of automatic partition type systematic based on machine vision technique, fresh-water fishes kind being carried out to ONLINE RECOGNITION.
Background technology
China's fresh-water fishes aboundresources, water globe product cultivating output is mainly derived from China.But due to the restriction of the factors such as pretreatment equipment and technology, fresh-water fishes are still based on fresh and alive immediate consumption, and processing capacity is less.
The first operation of fresh-water fishes processing carries out taxonomic revision to fish according to kind exactly.At present, the overwhelming majority needs manually to have come according to the classification of fresh-water fishes kind, and labour intensity is large, and efficiency is low, and cost of labor is relatively high.Native system employing machine vision and digital image processing techniques complete classifies to the ONLINE RECOGNITION of fresh-water fishes kind, greatly reduces hand labor slight, improves production efficiency significantly, reduce pretreatment processing cost.
Summary of the invention
The present invention devises a kind of fresh-water fishes kind on-line automaticization categorizing system based on machine vision, can carry out ONLINE RECOGNITION classification to large fresh-water fishes kind.
The scheme that technical solution problem of the present invention adopts is: a kind of fresh-water fishes kind online classification system based on machine vision, and by computer, camera, lamp box, belt conveyor, fish body allocates mechanism, infrared switch, fish body allocates mechanics controller and fish body gathering-device is formed.
The computer of this system, camera and lamp box composition image variants part, by the camera being arranged on lamp box top, the fish body on belt conveyor is taken pictures, image pick-up card on computer gathers the image that camera is taken, and carries out process obtain kind belonging to fish body by the image processing software installed on computers to gathered image.
Belt conveyor, fish body allocate the execution part that mechanism, infrared switch, fish body gathering-device and fish body allocate mechanics controller composition system.Computer processes fish volume image and the data of kind belonging to this fish are sent to fish body allocate mechanics controller, is processed by this controller.When infrared switch detects that fish body drives the fish body of relevant position to allocate mechanism when reaching assigned address, fish body is divided and pushes in the middle of corresponding fish body gathering-device.
The belt conveyor of this system is driven by motor, operates with certain speed.Fish body is allocated mechanism and is made up of steering engine seat, steering wheel and rocking arm.Fish body is allocated mechanics controller and is made up of MSP430 single-chip microcomputer and peripheral circuit.Computer Image Processing software is the special-purpose software based on VC++6.0 platform development.
Adopt technique scheme can realize carrying out online classification to fresh-water fishes kind, device structure is simple, easy to operate, stable.
Accompanying drawing explanation
Fig. 1 is general structure schematic diagram of the present invention.
Fig. 2 is the structural representation that fish body allocates mechanism.
Fig. 3 is the control principle drawing of this system.
In Fig. 1,1. computer, 2. belt conveyor, 3. infrared switch I, 4. camera, 5. lamp box, 6. infrared switch II, 7. infrared switch III, 8. rocking arm, 9. steering engine seat, 10. steering wheel, 11. fish body gathering-devices, 12. fish bodies allocate mechanics controller.
Detailed description of the invention
Below in conjunction with accompanying drawing, the present invention is further illustrated.
Fig. 1 allocates by computer 1, belt conveyor 2, infrared switch I3, camera 4, lamp box 5, infrared switch II6, infrared switch III7, rocking arm 8, steering engine seat 9, steering wheel 10, fish body gathering-device 11 and fish body the system that mechanics controller 12 forms.This system is with belt conveyor 2 for carrier, and fish body allocates mechanism and fish body gathering-device 11 is arranged on conveyer both sides respectively.Lamp box 5 is arranged on above conveyer, and camera 4 is arranged on lamp box 5 top.Infrared switch I, II and III are arranged near lamp box 5 porch and rocking arm 8 respectively.
The fish body that Fig. 2 is steering engine seat 9, rocking arm 8 and steering wheel 10 are formed allocates mechanism, and rocking arm 8 is arranged on the output shaft of steering wheel 10, and steering wheel 10 and steering engine seat 9 are bolted, and whole mechanism is arranged on the both sides of belt conveyor 2 by steering engine seat 9.Fish body is allocated the adjustable duty cycle PWM ripple that mechanism sends by controller 12 and is controlled.
As shown in Figures 1 and 3, fish body moves on belt conveyor 2, when fish body is through infrared switch I3, sends the triggering signal gathering image to computer system.Gather the image of this fish body after computer 1 receives triggering signal from camera 4, and the image gathered is processed, finally the result i.e. information of kind belonging to this fish body is sent to fish body and allocates mechanics controller 12.Fish body is allocated after mechanics controller 12 receives kind information and is sent enable signal to infrared switch II6 or III7, and waits for the signal of infrared switch 1I6 or III7.
Wherein infrared switch II6 only just works when fish body kind is 1 or 2, and infrared switch III7 only just works (setting the variety name of fish as 1,2,3 and 4) when fish body kind is 3 or 4.When infrared proximity switch I I6 or III7 to allocate after mechanics controller 12 sends triggering signal to fish body, fish body is allocated mechanics controller 12 and is allocated mechanism to fish body and send drive singal, is divided by fish and pushes in corresponding fish body gathering-device.
Claims (4)
1. the fresh-water fishes kind online classification system based on machine vision, comprise computer, camera, lamp box, belt conveyor, fish body allocate mechanism, infrared switch, fish body allocate mechanics controller and fish body gathering-device, it is characterized in that, this system adopts machine vision and image processing techniques to carry out the online classification of kind to large fresh-water fishes, and allocates by the fish body be made up of steering engine seat, steering wheel and rocking arm the operation that mechanism completes classification.
2. the fresh-water fishes kind online classification system according to claims 1, is characterized in that, have employed machine vision and image processing techniques, and the special-purpose software by VC++6.0 platform development realizes the process to fish volume image.
3. the fresh-water fishes kind online classification system according to claims 1, it is characterized in that, the fish body be made up of steering engine seat, steering wheel and rocking arm allocates mechanism, compact conformation, control simple, energy consumption is low, reaction speed is fast, provides hardware guarantee for realizing online classification.
4. the fresh-water fishes kind online classification system according to claims 1, it is characterized in that, rocking arm shape is the arc-shaped of a specific arc, is conducive to raising and allocates efficiency, reduces energy consumption, increases the service life.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201310557605.6A CN104624515A (en) | 2013-11-08 | 2013-11-08 | Machine vision based freshwater fish variety on-line classification system |
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| CN201310557605.6A CN104624515A (en) | 2013-11-08 | 2013-11-08 | Machine vision based freshwater fish variety on-line classification system |
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| CN104624515A true CN104624515A (en) | 2015-05-20 |
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| CN201310557605.6A Pending CN104624515A (en) | 2013-11-08 | 2013-11-08 | Machine vision based freshwater fish variety on-line classification system |
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105195442A (en) * | 2015-10-16 | 2015-12-30 | 中国水产科学研究院渔业机械仪器研究所 | Freshwater fish freshness grading system and method based on machine vision |
| CN105537150A (en) * | 2015-12-16 | 2016-05-04 | 无锡市永亿精密铸造有限公司 | Omnidirectional precision detecting and classifying device for precision hardware |
| CN105583168A (en) * | 2016-02-18 | 2016-05-18 | 龚启善 | Colored material sorting system |
| CN107282458A (en) * | 2017-07-21 | 2017-10-24 | 上海理工大学 | A kind of corn classification screening plant |
| CN107581130A (en) * | 2017-08-09 | 2018-01-16 | 浙江海洋大学 | Automatic marking machine and marking method |
| CN107616127A (en) * | 2017-08-09 | 2018-01-23 | 浙江海洋大学 | fry automatic grading system |
| CN107646771A (en) * | 2017-08-09 | 2018-02-02 | 浙江海洋大学 | Metal line code automatic checkout equipment |
| CN107691612A (en) * | 2017-11-23 | 2018-02-16 | 陈华勤 | A kind of fish sorting device |
| CN110419484A (en) * | 2019-08-27 | 2019-11-08 | 弓可飞 | Fancy carp automates separation system |
| CN110651815A (en) * | 2019-09-20 | 2020-01-07 | 重庆工商大学 | Automatic fish separating system and device based on video image perception |
| CN110694932A (en) * | 2019-11-28 | 2020-01-17 | 上海海洋大学 | Detection-based long-strip-shaped fish product sorting mechanism and control method |
| CN110841935A (en) * | 2019-11-08 | 2020-02-28 | 华南农业大学 | Weight grading and sorting method and device for live eels based on machine vision |
| CN113396020A (en) * | 2019-02-06 | 2021-09-14 | 马瑞奥三文鱼加工有限公司 | Food processing apparatus and method |
| CN115770734A (en) * | 2022-11-28 | 2023-03-10 | 华中农业大学 | Machine vision-based directional arranging and conveying device for freshwater fish bodies and directional method thereof |
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Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105195442B (en) * | 2015-10-16 | 2017-06-06 | 中国水产科学研究院渔业机械仪器研究所 | A kind of fresh-water fishes freshness hierarchy system and method based on machine vision |
| CN105195442A (en) * | 2015-10-16 | 2015-12-30 | 中国水产科学研究院渔业机械仪器研究所 | Freshwater fish freshness grading system and method based on machine vision |
| CN105537150A (en) * | 2015-12-16 | 2016-05-04 | 无锡市永亿精密铸造有限公司 | Omnidirectional precision detecting and classifying device for precision hardware |
| CN105583168A (en) * | 2016-02-18 | 2016-05-18 | 龚启善 | Colored material sorting system |
| CN107282458A (en) * | 2017-07-21 | 2017-10-24 | 上海理工大学 | A kind of corn classification screening plant |
| CN107581130B (en) * | 2017-08-09 | 2020-12-15 | 浙江海洋大学 | Automatic marking machine and marking method |
| CN107581130A (en) * | 2017-08-09 | 2018-01-16 | 浙江海洋大学 | Automatic marking machine and marking method |
| CN107616127A (en) * | 2017-08-09 | 2018-01-23 | 浙江海洋大学 | fry automatic grading system |
| CN107646771A (en) * | 2017-08-09 | 2018-02-02 | 浙江海洋大学 | Metal line code automatic checkout equipment |
| CN107691612A (en) * | 2017-11-23 | 2018-02-16 | 陈华勤 | A kind of fish sorting device |
| CN107691612B (en) * | 2017-11-23 | 2023-09-08 | 青阳县徽缘食品有限公司 | Fish sorting equipment |
| CN113396020A (en) * | 2019-02-06 | 2021-09-14 | 马瑞奥三文鱼加工有限公司 | Food processing apparatus and method |
| CN110419484A (en) * | 2019-08-27 | 2019-11-08 | 弓可飞 | Fancy carp automates separation system |
| CN110651815A (en) * | 2019-09-20 | 2020-01-07 | 重庆工商大学 | Automatic fish separating system and device based on video image perception |
| CN110841935A (en) * | 2019-11-08 | 2020-02-28 | 华南农业大学 | Weight grading and sorting method and device for live eels based on machine vision |
| CN110841935B (en) * | 2019-11-08 | 2024-04-12 | 华南农业大学 | Method and device for classifying and sorting weight of living eels based on machine vision |
| CN110694932A (en) * | 2019-11-28 | 2020-01-17 | 上海海洋大学 | Detection-based long-strip-shaped fish product sorting mechanism and control method |
| CN115770734A (en) * | 2022-11-28 | 2023-03-10 | 华中农业大学 | Machine vision-based directional arranging and conveying device for freshwater fish bodies and directional method thereof |
| CN115770734B (en) * | 2022-11-28 | 2024-04-05 | 华中农业大学 | Freshwater fish body directional arrangement conveying device based on machine vision and directional method thereof |
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Application publication date: 20150520 |