Penglihatan mesin: Perbedaan antara revisi
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Baris 19:
=== Output/Keluaran ===
Output yang dihasilkan dari sistem pengolahan data (pada umumnya RAM) bisa berupa citra atau output mekanik seperti pergerakan dan [[Panas|panas/kalor]] apabila [[aktuator]] atau penggarak tersebut digunakan di dalam sistem energi seperti di [[sistem pendinginan]] dan tata udara atau di [[Pembangkit listrik|pembangkit energi]].
== Aplikasi ==
Baris 31:
Penyeleksian tingkat kematangan [[buah]]<ref>{{Cite journal|last=Blasco|first=J|last2=Aleixos|first2=N|last3=Moltó|first3=E|date=2003-08|title=Machine Vision System for Automatic Quality Grading of Fruit|url=https://linkinghub.elsevier.com/retrieve/pii/S1537511003000886|journal=Biosystems Engineering|language=en|volume=85|issue=4|pages=415–423|doi=10.1016/S1537-5110(03)00088-6}}</ref><ref name=":5" />
Robot pemetik buah.<ref>{{Cite journal|last=Bulanon|first=D.M.|last2=Kataoka|first2=T.|last3=Okamoto|first3=H.|last4=Hata|first4=S.|date=2004-08|title=Development of a real-time machine vision system for the apple harvesting robot|url=https://ieeexplore.ieee.org/document/1491474|journal=SICE 2004 Annual Conference|volume=1|pages=595–598 vol. 1}}</ref><ref>{{Cite journal|last=Baigvand|first=Mehrdad|last2=Banakar|first2=Ahmad|last3=Minaei|first3=Saeed|last4=Khodaei|first4=Jalal|last5=Behroozi-Khazaei|first5=Nasser|date=2015-11|title=Machine vision system for grading of dried figs|url=https://linkinghub.elsevier.com/retrieve/pii/S0168169915003324|journal=Computers and Electronics in Agriculture|language=en|volume=119|pages=158–165|doi=10.1016/j.compag.2015.10.019}}</ref>
Inspeksi ukuran biji/[[Bulir (botani)|bulir]].<ref>{{Cite journal|last=Vithu|first=P.|last2=Moses|first2=J.A.|date=2016-10|title=Machine vision system for food grain quality evaluation: A review|url=https://linkinghub.elsevier.com/retrieve/pii/S092422441630084X|journal=Trends in Food Science & Technology|language=en|volume=56|pages=13–20|doi=10.1016/j.tifs.2016.07.011}}</ref><ref name=":4" /><ref>{{Cite journal|last=Luo|first=X|last2=Jayas|first2=Ds|last3=Symons|first3=Sj|date=1999-07|title=Identification of Damaged Kernels in Wheat using a Colour Machine Vision System|url=https://linkinghub.elsevier.com/retrieve/pii/S0733521098902405|journal=Journal of Cereal Science|language=en|volume=30|issue=1|pages=49–59|doi=10.1006/jcrs.1998.0240}}</ref><ref>{{Cite journal|last=Branson|first=Steve|last2=Van Horn|first2=Grant|last3=Wah|first3=Catherine|last4=Perona|first4=Pietro|last5=Belongie|first5=Serge|date=2014-02-20|title=The Ignorant Led by the Blind: A Hybrid Human–Machine Vision System for Fine-Grained Categorization|url=http://link.springer.com/10.1007/s11263-014-0698-4|journal=International Journal of Computer Vision|language=en|doi=10.1007/s11263-014-0698-4|issn=0920-5691}}</ref>
Inspeksi ukuran [[umbi]].<ref>{{Cite journal|last=ElMasry|first=Gamal|last2=Cubero|first2=Sergio|last3=Moltó|first3=Enrique|last4=Blasco|first4=José|date=2012-09|title=In-line sorting of irregular potatoes by using automated computer-based machine vision system|url=https://linkinghub.elsevier.com/retrieve/pii/S0260877412001690|journal=Journal of Food Engineering|language=en|volume=112|issue=1-2|pages=60–68|doi=10.1016/j.jfoodeng.2012.03.027}}</ref>
Inspeksi ukuran [[jamur]].<ref>{{Cite journal|last=P. H. Heinemann|last2=R. Hughes|last3=C. T. Morrow|last4=H. J. Sommer|last5=Iii|last6=R. B. Beelman|last7=P. J. Wuest|date=1994|title=Grading of Mushrooms Using a Machine Vision System|url=http://elibrary.asabe.org/abstract.asp??JID=3&AID=28255&CID=t1994&v=37&i=5&T=1|journal=Transactions of the ASAE|language=en|volume=37|issue=5|pages=1671–1677|doi=10.13031/2013.28255|issn=2151-0059}}</ref>
=== Aplikasi di Bidang Pangan ===
Baris 46 ⟶ 50:
Inspeksi hasil produksi.<ref>{{Cite journal|last=Kazanskiy|first=N. L.|last2=Popov|first2=S. B.|date=2010-03|title=Machine vision system for singularity detection in monitoring the long process|url=http://link.springer.com/10.3103/S1060992X10010042|journal=Optical Memory and Neural Networks|language=en|volume=19|issue=1|pages=23–30|doi=10.3103/S1060992X10010042|issn=1060-992X}}</ref>
Inspeksi produk tekstil.<ref>{{Cite journal|last=Çelik|first=H.İ.|last2=Dülger|first2=L.C.|last3=Topalbekiroğlu|first3=M.|date=2014-06-03|title=Development of a machine vision system: real-time fabric defect detection and classification with neural networks|url=http://www.tandfonline.com/doi/abs/10.1080/00405000.2013.827393|journal=The Journal of The Textile Institute|language=en|volume=105|issue=6|pages=575–585|doi=10.1080/00405000.2013.827393|issn=0040-5000}}</ref>
Alat bantu di dalam [[Las|pengelasan]].<ref>{{Cite journal|last=Huang|first=Wei|last2=Kovacevic|first2=Radovan|date=2012-11|title=Development of a real-time laser-based machine vision system to monitor and control welding processes|url=http://link.springer.com/10.1007/s00170-012-3902-0|journal=The International Journal of Advanced Manufacturing Technology|language=en|volume=63|issue=1-4|pages=235–248|doi=10.1007/s00170-012-3902-0|issn=0268-3768}}</ref><ref>{{Citation|title=Profil Dosen DTM - Dr. Ario Sunar Baskoro, S.T. , M.T. , M.Eng|url=https://www.youtube.com/watch?v=MffNGmD9D24|accessdate=2022-01-29|language=id-ID}}</ref>
=== Aplikasi di Bidang Transportasi ===
Pendeteksi Jalur Kedatangan.<ref>{{Cite journal|last=Lee|first=Joon Woong|date=2002-04|title=A Machine Vision System for Lane-Departure Detection|url=https://linkinghub.elsevier.com/retrieve/pii/S1077314202909586|journal=Computer Vision and Image Understanding|language=en|volume=86|issue=1|pages=52–78|doi=10.1006/cviu.2002.0958}}</ref>
Alat bantu kendaraan.<ref>{{Cite journal|last=Tsugawa|first=S.|date=Aug./1994|title=Vision-based vehicles in Japan: machine vision systems and driving control systems|url=http://ieeexplore.ieee.org/document/303790/|journal=IEEE Transactions on Industrial Electronics|volume=41|issue=4|pages=398–405|doi=10.1109/41.303790}}</ref>
Inspeksi [[kereta api]].<ref>{{Cite web|title=A Machine Vision System for Monitoring Railcar Health: Preliminary Results, TD-04-008 - RailTEC|url=https://railtec.illinois.edu/report/a-machine-vision-system-for-monitoring-railcar-health-preliminary-results-td-04-008/|language=en-US|access-date=2022-01-29}}</ref>
=== Aplikasi di Bidang Infrastruktur ===
Inspeksi [[jembatan]].<ref>{{Cite journal|last=Lee|first=Jeong Ho|last2=Lee|first2=Jong Min|last3=Kim|first3=Hyung Jin|last4=Moon|first4=Young Shik|date=2008-05|title=Machine Vision System for Automatic Inspection of Bridges|url=https://ieeexplore.ieee.org/document/4566507/|journal=2008 Congress on Image and Signal Processing|volume=3|pages=363–366|doi=10.1109/CISP.2008.672}}</ref>
== Bahan Bacaan ==
Baris 54 ⟶ 69:
* Machine Vision (Jain, 1995) <ref>{{Cite book|last=Jain|first=Ramesh|date=1995|url=https://www.worldcat.org/oclc/31933939|title=Machine vision|location=New York|publisher=McGraw-Hill|isbn=0-07-032018-7|others=Rangachar Kasturi, Brian G. Schunck|oclc=31933939}}</ref>
* Machine Vision Volume 1 (Snyder, 2004)<ref>{{Cite book|last=Snyder|first=Wesley E.|date=2004|url=https://www.worldcat.org/oclc/52216294|title=Machine vision|location=Cambridge, UK|publisher=Cambridge University Press|isbn=0-521-83046-X|others=Hairong Qi|oclc=52216294}}</ref>
* Machine Vision: Theory, Algorithms, Practicalities (Davies, 2005)<ref>{{Cite book|last=Davies|first=E. R.|date=2005|url=https://www.worldcat.org/oclc/162571652|title=Machine vision : theory, algorithms, practicalities|location=Amsterdam|publisher=Elsevier|isbn=978-0-08-047324-6|edition=3rd ed|oclc=162571652}}</ref>
== Referensi ==
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