CN104655625A - Machine vision-based freshwater fish species identification system - Google Patents
Machine vision-based freshwater fish species identification system Download PDFInfo
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- CN104655625A CN104655625A CN201310614218.1A CN201310614218A CN104655625A CN 104655625 A CN104655625 A CN 104655625A CN 201310614218 A CN201310614218 A CN 201310614218A CN 104655625 A CN104655625 A CN 104655625A
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Abstract
The invention discloses a machine vision-based freshwater fish species identification system, and belongs to the technical field of automatic control. The system is characterized by comprising a field industrial control computer (1), an image collection card (2), a system reset module (3), a wireless transmission module (4), an identification result output module (5), an upper computer (6), a CCD industrial camera (7), a radiation system (8), a data collection card (9), a photoelectric sensor (10), a to-be-detected sample (11) and a transmission belt motor (12). Compared with the prior art, the machine vision-based freshwater fish species identification system has the advantages of simple system structure, convenience in assembling and debugging, high system reliability, high measurement accuracy, low power consumption and the like, and is easy to popularize and convenient to maintain.
Description
Technical field
The invention belongs to automatic control technology field, in particular, belong to a kind of fresh-water fishes variety ecotype system based on machine vision.
Background technology
The fresh-water fishes of China's cultivation are of a great variety, and be freshwater fish culturing big producing country of the world, annual production accounts for more than 70% of Gross World Product.The fish shape of breeding production is not of uniform size, and before fresh-water fishes being carried out to processing process such as " three go ", come by naked eyes and manual operations the operation such as assortment, size fractionation that fresh-water fishes carry out, operation intensity is large, and efficiency is low.Because CHINESE FRESHWATER fish atomization degree is lower, fresh-water fishes, based on fresh and alive sale, in the busy season, easily cause easy situation, have had a strong impact on the profit of culturist.Therefore, exploitation fresh-water fishes deep processing equipment, significant to optimum harmonious future development for promotion CHINESE FRESHWATER fish culture production market.
Machine vision technique is the emerging detection technique that the continuous fusion development of computer communication technology and sensor technology gets up.In its defects detection, carrying out flaw detection, Intelligent Recognition etc. in industrial processes, Application comparison is extensive, but the applied research in aquaculture production is started late.Abroad, the people such as Frank Storbeck establish the fish body variety ecotype system based on machine vision and nerual network technique, and accuracy rate can reach more than 95%.The people such as White have developed fish body variety ecotype equipment, and try out on the fisherman of Norway, and test result shows that the measuring error of this system to length of fish body is less than 1cm.Zhang Zhiqiangs etc. have studied the fresh-water fishes quality grading method based on machine vision technique.
Summary of the invention
The present invention, in order to effectively solve above technical matters, gives a kind of fresh-water fishes variety ecotype system based on machine vision.The fresh-water fishes variety ecotype system based on machine vision that the present invention provides, realizes quick, the accurate ONLINE RECOGNITION of fresh-water fishes kind.
A kind of fresh-water fishes variety ecotype system based on machine vision of the present invention, is characterized in that: comprise on-the-spot industrial computer, image pick-up card, system reset module, wireless transport module, recognition result output module, host computer, CCD industrial camera, illumination system, data collecting card, photoelectric sensor, sample to be checked, transport tape motor; Wherein:
Described on-the-spot industrial computer respectively with described image pick-up card, described system reset module, described wireless transport module, described recognition result output module is connected, described wireless transport module respectively with described on-the-spot industrial computer, described host computer is connected, described image pick-up card respectively with described on-the-spot industrial computer, described CCD industrial camera is connected, described CCD industrial camera respectively with described image pick-up card, described illumination system is connected, described illumination system respectively with described CCD industrial camera, described data collecting card is connected, described data collecting card respectively with described illumination system, described photoelectric sensor is connected, described photoelectric sensor respectively with described data collecting card, described sample to be checked is connected, described sample to be checked respectively with described photoelectric sensor, described transport tape motor is connected.
The present invention is compared with prior art: have that system architecture is simple, installation and debugging convenient, system reliability is high, measuring accuracy is high, low in energy consumption, be easy to penetration and promotion, the advantage such as easy to maintenance.
Accompanying drawing explanation
Accompanying drawing 1 is the structural representation of the fresh-water fishes variety ecotype system that the present invention is based on machine vision.
Embodiment
Fig. 1 is the structural representation of the fresh-water fishes variety ecotype system that the present invention is based on machine vision, and the fresh-water fishes variety ecotype system based on machine vision comprises on-the-spot industrial computer 1, image pick-up card 2, system reset module 3, wireless transport module 4, recognition result output module 5, host computer 6, CCD industrial camera 7, illumination system 8, data collecting card 9, photoelectric sensor 10, sample to be checked 11, transport tape motor 12; Wherein:
Described on-the-spot industrial computer 1 respectively with described image pick-up card 2, described system reset module 3, described wireless transport module 4, described recognition result output module 5 is connected, described wireless transport module 4 respectively with described on-the-spot industrial computer 1, described host computer 6 is connected, described image pick-up card 2 respectively with described on-the-spot industrial computer 1, described CCD industrial camera 7 is connected, described CCD industrial camera 7 respectively with described image pick-up card 2, described illumination system 8 is connected, described illumination system 8 respectively with described CCD industrial camera 7, described data collecting card 9 is connected, described data collecting card 9 respectively with described illumination system 8, described photoelectric sensor 10 is connected, described photoelectric sensor 10 respectively with described data collecting card 9, described sample to be checked 11 is connected, described sample to be checked 11 respectively with described photoelectric sensor 10, described transport tape motor 12 is connected.
Claims (1)
1. based on a fresh-water fishes variety ecotype system for machine vision, it is characterized in that: comprise on-the-spot industrial computer (1), image pick-up card (2), system reset module (3), wireless transport module (4), recognition result output module (5), host computer (6), CCD industrial camera (7), illumination system (8), data collecting card (9), photoelectric sensor (10), sample to be checked (11), transport tape motor (12); Wherein:
Described on-the-spot industrial computer (1) respectively with described image pick-up card (2), described system reset module (3), described wireless transport module (4), described recognition result output module (5) is connected, described wireless transport module (4) respectively with described on-the-spot industrial computer (1), described host computer (6) is connected, described image pick-up card (2) respectively with described on-the-spot industrial computer (1), described CCD industrial camera (7) is connected, described CCD industrial camera (7) respectively with described image pick-up card (2), described illumination system (8) is connected, described illumination system (8) respectively with described CCD industrial camera (7), described data collecting card (9) is connected, described data collecting card (9) respectively with described illumination system (8), described photoelectric sensor (10) is connected, described photoelectric sensor (10) respectively with described data collecting card (9), described sample to be checked (11) is connected, described sample to be checked (11) respectively with described photoelectric sensor (10), described transport tape motor (12) is connected.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310614218.1A CN104655625A (en) | 2013-11-25 | 2013-11-25 | Machine vision-based freshwater fish species identification system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310614218.1A CN104655625A (en) | 2013-11-25 | 2013-11-25 | Machine vision-based freshwater fish species identification system |
Publications (1)
| Publication Number | Publication Date |
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| CN104655625A true CN104655625A (en) | 2015-05-27 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201310614218.1A Pending CN104655625A (en) | 2013-11-25 | 2013-11-25 | Machine vision-based freshwater fish species identification system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106598114A (en) * | 2016-10-26 | 2017-04-26 | 陈鸽 | Remote server-based fish tank control system |
| CN113743324A (en) * | 2021-09-07 | 2021-12-03 | 易科捷(武汉)生态科技有限公司成都分公司 | Automatic updating type fish identification system based on Internet of things |
| CN116273984A (en) * | 2023-05-25 | 2023-06-23 | 南京农业大学 | River crab quality grading device and method based on visual detection |
-
2013
- 2013-11-25 CN CN201310614218.1A patent/CN104655625A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106598114A (en) * | 2016-10-26 | 2017-04-26 | 陈鸽 | Remote server-based fish tank control system |
| CN113743324A (en) * | 2021-09-07 | 2021-12-03 | 易科捷(武汉)生态科技有限公司成都分公司 | Automatic updating type fish identification system based on Internet of things |
| CN116273984A (en) * | 2023-05-25 | 2023-06-23 | 南京农业大学 | River crab quality grading device and method based on visual detection |
| CN116273984B (en) * | 2023-05-25 | 2023-09-15 | 南京农业大学 | River crab quality grading device and method based on visual detection |
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Application publication date: 20150527 |