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Baris 18:
 
=== Pengolahan Data ===
Di sini, data yang ditangkap oleh sensor (terutama citra), akan diolah secara matematik oleh piranti lunak. Pada bagian inilah kerja dari statistik, matriks, jaringan Bayesian, [[Logika kabur|logika fuzzy/ kabur]], serta algoritma genetik mulai digunakan. Sementara, untuk matriks, secara umum sistem visi mesin menggunakan metode seperti sobel dan Fre-Chen sebagai alat bantu analisis segmentasi dan deskripsi dari piksel.<ref name=":3">{{Cite journal|last=Kurada|first=S.|last2=Bradley|first2=C.|date=1997-04|title=A machine vision system for tool wear assessment|url=https://linkinghub.elsevier.com/retrieve/pii/S0301679X96000588|journal=Tribology International|language=en|volume=30|issue=4|pages=295–304|doi=10.1016/S0301-679X(96)00058-8}}</ref><ref name=":4">{{Cite journal|last=Ureña|first=R|last2=Rodrı́guez|first2=F|last3=Berenguel|first3=M|date=2001-07|title=A machine vision system for seeds quality evaluation using fuzzy logic|url=https://linkinghub.elsevier.com/retrieve/pii/S0168169901001508|journal=Computers and Electronics in Agriculture|language=en|volume=32|issue=1|pages=1–20|doi=10.1016/S0168-1699(01)00150-8}}</ref> Selain itu, prinsip dari eigenvektor dan eigenvalue sendiri juga digunakan untuk analisis data. Serta, untuk pengolahan citra atau gambar digunakan metode-metode [[Pengambangan (pengolahan citra)|pengambangan (thresholding)]]. Pada bagian pengambangan ini, prinsip-prinsip statistik seperti [[histogram]], [[distribusi normal]], [[Simpangan baku|standar deviasi]] serta [[Matriks (matematika)|matriks]] digunakan di dalam analisis piksel sebagai salah satu metode dari interpretasi citra.<ref name=":5">{{Cite journal|last=Patel|first=Krishna Kumar|last2=Kar|first2=A.|last3=Jha|first3=S. N.|last4=Khan|first4=M. A.|date=2012-04|title=Machine vision system: a tool for quality inspection of food and agricultural products|url=http://link.springer.com/10.1007/s13197-011-0321-4|journal=Journal of Food Science and Technology|language=en|volume=49|issue=2|pages=123–141|doi=10.1007/s13197-011-0321-4|issn=0022-1155|pmc=PMC3550871|pmid=23572836}}</ref><ref name=":4">{{Cite journal|last=Ureña|first=R|last2=Rodrı́guez|first2=F|last3=Berenguel|first3=M|date=2001-07|title=A machine vision system for seeds quality evaluation using fuzzy logic|url=https://linkinghub.elsevier.com/retrieve/pii/S0168169901001508|journal=Computers and Electronics in Agriculture|language=en|volume=32|issue=1|pages=1–20|doi=10.1016/S0168-1699(01)00150-8}}</ref>
 
[[Histogram]] sendiri digunakan di dalam analisis piksel dari citra atau gambar yang digunakan sebagai masukan/input dari sistem yang akan diolah piranti lunak.
Baris 32:
 
=== Aplikasi di Bidang Kesehatan ===
 
* Deteksi [[Selaput pelangi|iris mata]]<ref name=":2" />
* Pengenalan [[wajah]].<ref>{{Cite journal|last=Jalled|first=Fares|date=2017-05-08|title=Face Recognition Machine Vision System Using Eigenfaces|url=http://arxiv.org/abs/1705.02782|journal=arXiv:1705.02782 [cs]}}</ref>
* Robot untuk operasi.<ref>{{Cite web|title=Robot performs first laparoscopic surgery without human help|url=https://www.sciencedaily.com/releases/2022/01/220126143954.htm|website=ScienceDaily|language=en|access-date=2022-01-29}}</ref><ref>{{Cite web|title=Robot performs 1st laparoscopic surgery without human help|url=https://www.eurekalert.org/news-releases/941011|website=EurekAlert!|language=en|access-date=2022-01-29}}</ref>
 
=== Aplikasi di Bidang Pertanian ===
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" />▼
 
* 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><ref>{{Cite journal|last=Belan|first=Peterson Adriano|last2=de Macedo|first2=Robson Aparecido Gomes|last3=Alves|first3=Wonder Alexandre Luz|last4=Santana|first4=José Carlos Curvelo|last5=Araújo|first5=Sidnei Alves|date=2020-12|title=Machine vision system for quality inspection of beans|url=http://link.springer.com/10.1007/s00170-020-06226-5|journal=The International Journal of Advanced Manufacturing Technology|language=en|volume=111|issue=11-12|pages=3421–3435|doi=10.1007/s00170-020-06226-5|issn=0268-3768}}</ref>▼
▲Penyeleksian* tingkatInspeksi kematanganukuran [[buahumbi]].<ref>{{Cite journal|last=BlascoElMasry|first=JGamal|last2=AleixosCubero|first2=NSergio|last3=Moltó|first3=EEnrique|last4=Blasco|first4=José|date=20032012-0809|title=MachineIn-line Visionsorting Systemof forirregular Automaticpotatoes Qualityby Gradingusing ofautomated computer-based machine vision Fruitsystem|url=https://linkinghub.elsevier.com/retrieve/pii/S1537511003000886S0260877412001690|journal=BiosystemsJournal of Food Engineering|language=en|volume=85112|issue=41-2|pages=415–42360–68|doi=10.1016/S1537-5110(j.jfoodeng.2012.03)00088-6.027}}</ref><ref name=":5" />
* 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 Perikanan ===
▲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><ref>{{Cite journal|last=Belan|first=Peterson Adriano|last2=de Macedo|first2=Robson Aparecido Gomes|last3=Alves|first3=Wonder Alexandre Luz|last4=Santana|first4=José Carlos Curvelo|last5=Araújo|first5=Sidnei Alves|date=2020-12|title=Machine vision system for quality inspection of beans|url=http://link.springer.com/10.1007/s00170-020-06226-5|journal=The International Journal of Advanced Manufacturing Technology|language=en|volume=111|issue=11-12|pages=3421–3435|doi=10.1007/s00170-020-06226-5|issn=0268-3768}}</ref>
 
* Inspeksi ukuranbudidaya [[umbi]].perikanan (''aquaculture'')<ref>{{Cite journal|last=ElMasrySaberioon|first=GamalMohammadmehdi|last2=CuberoGholizadeh|first2=SergioAsa|last3=MoltóCisar|first3=EnriquePetr|last4=BlascoPautsina|first4=JoséAliaksandr|last5=Urban|first5=Jan|date=2012-092017|title=In-line sortingApplication of irregularmachine potatoesvision bysystems usingin automatedaquaculture computerwith emphasis on fish: state-basedof-the-art machineand visionkey systemissues|url=https://linkinghubonlinelibrary.elsevierwiley.com/retrievedoi/piiabs/S026087741200169010.1111/raq.12143|journal=JournalReviews ofin Food EngineeringAquaculture|language=en|volume=1129|issue=1-24|pages=60–68369–387|doi=10.10161111/jraq.jfoodeng.2012.03.02712143|issn=1753-5131}}</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 ===
 
* Inspeksi kematangan hasil [[roti]].<ref>{{Cite journal|last=Abdullah|first=Mohd Zaid|last2=Aziz|first2=Sabina Abdul|last3=Mohamed|first3=Abdul Manan|date=2000-03|title=QUALITY INSPECTION OF BAKERY PRODUCTS USING A COLOR-BASED MACHINE VISION SYSTEM|url=https://onlinelibrary.wiley.com/doi/10.1111/j.1745-4557.2000.tb00194.x|journal=Journal of Food Quality|language=en|volume=23|issue=1|pages=39–50|doi=10.1111/j.1745-4557.2000.tb00194.x|issn=0146-9428}}</ref>
 
=== Aplikasi di Bidang Industri ===
[[Robotika|Robotika Industri]].<ref>{{Cite journal|last=Golnabi|first=H.|last2=Asadpour|first2=A.|date=2007-12|title=Design and application of industrial machine vision systems|url=https://linkinghub.elsevier.com/retrieve/pii/S0736584507000233|journal=Robotics and Computer-Integrated Manufacturing|language=en|volume=23|issue=6|pages=630–637|doi=10.1016/j.rcim.2007.02.005}}</ref>
 
* [[Gaya gesekRobotika|KeausanRobotika peralatan manufakturIndustri]] serta kekasaran permukaan.<ref name=":3" /><ref>{{Cite journal|last=LukGolnabi|first=FH.|last2=HuynhAsadpour|first2=V|last3=North|first3=WA.|date=19892007-12|title=MeasurementDesign ofand surfaceapplication roughnessof by aindustrial machine vision systemsystems|url=https://iopsciencelinkinghub.iopelsevier.orgcom/articleretrieve/10.1088pii/0022-3735/22/12/001S0736584507000233|journal=JournalRobotics ofand PhysicsComputer-Integrated E: Scientific InstrumentsManufacturing|language=en|volume=2223|issue=126|pages=977–980630–637|doi=10.10881016/0022-3735/22/12/001|issn=0022-3735j.rcim.2007.02.005}}</ref>
* [[Gaya gesek|Keausan peralatan manufaktur]] serta kekasaran permukaan.<ref name=":3" /><ref>{{Cite journal|last=Luk|first=F|last2=Huynh|first2=V|last3=North|first3=W|date=1989-12|title=Measurement of surface roughness by a machine vision system|url=https://iopscience.iop.org/article/10.1088/0022-3735/22/12/001|journal=Journal of Physics E: Scientific Instruments|volume=22|issue=12|pages=977–980|doi=10.1088/0022-3735/22/12/001|issn=0022-3735}}</ref>
 
* Inspeksi [[Peralatan elektronik|produk elektrik]].<ref>{{Cite journal|last=Lahajnar|first=Franci|last2=Bernard|first2=Rok|last3=Pernuš|first3=Franjo|last4=Kovačič|first4=Stanislav|date=2002-01|title=Machine vision system for inspecting electric plates|url=https://linkinghub.elsevier.com/retrieve/pii/S0166361501001348|journal=Computers in Industry|language=en|volume=47|issue=1|pages=113–122|doi=10.1016/S0166-3615(01)00134-8}}</ref><ref>{{Cite journal|last=Furferi|first=Rocco|last2=Governi|first2=Lapo|last3=Puggelli|first3=Luca|last4=Servi|first4=Michaela|last5=Volpe|first5=Yary|date=2019-06-13|title=Machine Vision System for Counting Small Metal Parts in Electro-Deposition Industry|url=https://www.mdpi.com/2076-3417/9/12/2418|journal=Applied Sciences|language=en|volume=9|issue=12|pages=2418|doi=10.3390/app9122418|issn=2076-3417}}</ref>
* 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><ref>{{Cite journal|last=Wu|first=Yu|last2=Lu|first2=Yanjie|date=2019-09|title=An intelligent machine vision system for detecting surface defects on packing boxes based on support vector machine|url=http://journals.sagepub.com/doi/10.1177/0020294019858175|journal=Measurement and Control|language=en|volume=52|issue=7-8|pages=1102–1110|doi=10.1177/0020294019858175|issn=0020-2940}}</ref>▼
 
* Inspeksi ''packing''/kemasan.<ref>{{Cite journal|last=Lenty|first=Bartosz|date=2019-11-06|editor-last=Romaniuk|editor-first=Ryszard S.|editor2-last=Linczuk|editor2-first=Maciej|title=Machine vision system for quality control of molded plastic packaging|url=https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11176/2536697/Machine-vision-system-for-quality-control-of-molded-plastic-packaging/10.1117/12.2536697.full|journal=Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019|location=Wilga, Poland|publisher=SPIE|pages=77|doi=10.1117/12.2536697|isbn=978-1-5106-3065-9}}</ref>▼
▲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><ref>{{Cite journal|last=Wu|first=Yu|last2=Lu|first2=Yanjie|date=2019-09|title=An intelligent machine vision system for detecting surface defects on packing boxes based on support vector machine|url=http://journals.sagepub.com/doi/10.1177/0020294019858175|journal=Measurement and Control|language=en|volume=52|issue=7-8|pages=1102–1110|doi=10.1177/0020294019858175|issn=0020-2940}}</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>▼
▲Inspeksi ''packing''/kemasan.<ref>{{Cite journal|last=Lenty|first=Bartosz|date=2019-11-06|editor-last=Romaniuk|editor-first=Ryszard S.|editor2-last=Linczuk|editor2-first=Maciej|title=Machine vision system for quality control of molded plastic packaging|url=https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11176/2536697/Machine-vision-system-for-quality-control-of-molded-plastic-packaging/10.1117/12.2536697.full|journal=Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019|location=Wilga, Poland|publisher=SPIE|pages=77|doi=10.1117/12.2536697|isbn=978-1-5106-3065-9}}</ref>
* Inspeksi bagian-bagian mekanik/suku cadang.<ref>{{Cite journal|last=Jain|first=Tushar|last2=Gupta|first2=Meenu|last3=Sardana|first3=H.K.|date=2018-10-08|title=Unmanned machine vision system for automated recognition of mechanical parts|url=https://www.emerald.com/insight/content/doi/10.1108/IJIUS-03-2018-0008/full/html|journal=International Journal of Intelligent Unmanned Systems|language=en|volume=6|issue=4|pages=184–196|doi=10.1108/IJIUS-03-2018-0008|issn=2049-6427}}</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 Energi ===
Analisis aliran [[fluida]]<ref>{{Cite journal|last=Valenzuela-Delgado|first=Monica|last2=Flores-Fuentes|first2=Wendy|last3=Bravo-Zanoguera|first3=Miguel E.|last4=Ortiz-Perez|first4=Alejandro S.|last5=Hernandez-Balbuena|first5=Daniel|last6=Rivas-Lopez|first6=Moises|last7=Sergiyenko|first7=Oleg|last8=Gonzalez-Navarro|first8=Felix F.|date=2017-06|title=Machine vision system to measuring the velocity field in a fluid by Particle Image Velocimetry: Special Case of Magnetohydrodynamics|url=https://ieeexplore.ieee.org/document/8001489/|journal=2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)|location=Edinburgh|publisher=IEEE|pages=1621–1625|doi=10.1109/ISIE.2017.8001489|isbn=978-1-5090-1412-5}}</ref>▼
 
▲* Analisis aliran [[fluida]]<ref>{{Cite journal|last=Valenzuela-Delgado|first=Monica|last2=Flores-Fuentes|first2=Wendy|last3=Bravo-Zanoguera|first3=Miguel E.|last4=Ortiz-Perez|first4=Alejandro S.|last5=Hernandez-Balbuena|first5=Daniel|last6=Rivas-Lopez|first6=Moises|last7=Sergiyenko|first7=Oleg|last8=Gonzalez-Navarro|first8=Felix F.|date=2017-06|title=Machine vision system to measuring the velocity field in a fluid by Particle Image Velocimetry: Special Case of Magnetohydrodynamics|url=https://ieeexplore.ieee.org/document/8001489/|journal=2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)|location=Edinburgh|publisher=IEEE|pages=1621–1625|doi=10.1109/ISIE.2017.8001489|isbn=978-1-5090-1412-5}}</ref>
* Robot pendeteksi kebocoran gas mudah terbakar (''flammable gas'').<ref>{{Cite journal|last=Rahardi|first=Gamma Aditya|last2=Anam|first2=Khairul|last3=Chaidir|first3=Ali Rizal|last4=Larasati|first4=Devita Ayu|date=2021-09-29|title=Navigation System for Olfactory Mobile Robot by Using Machine Vision System|url=http://repository.unej.ac.id/xmlui/handle/123456789/105526|language=en}}</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* bantuPendeteksi [[kendaraan]]jalur kedatangan.<ref>{{Cite journal|last=TsugawaLee|first=S.Joon Woong|date=Aug./19942002-04|title=Vision-basedA vehiclesMachine inVision Japan:System machinefor vision systems and driving controlLane-Departure systemsDetection|url=httphttps://ieeexplorelinkinghub.ieeeelsevier.orgcom/documentretrieve/303790pii/S1077314202909586|journal=IEEEComputer TransactionsVision onand IndustrialImage ElectronicsUnderstanding|language=en|volume=4186|issue=41|pages=398–40552–78|doi=10.11091006/41cviu.2002.3037900958}}</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>
* Inspeksi [[Rel|rel kereta api]].<ref>{{Cite journal|last=Min|first=Yongzhi|last2=Xiao|first2=Benyu|last3=Dang|first3=Jianwu|last4=Yue|first4=Biao|last5=Cheng|first5=Tiandong|date=2018-12|title=Real time detection system for rail surface defects based on machine vision|url=https://jivp-eurasipjournals.springeropen.com/articles/10.1186/s13640-017-0241-y|journal=EURASIP Journal on Image and Video Processing|language=en|volume=2018|issue=1|pages=3|doi=10.1186/s13640-017-0241-y|issn=1687-5281}}</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 ==
Beberapa bahan bacaan yang dapat dirujuk terkait sistem visi mesin:
 
* ''Three-Dimensional Machine Vision'' (Kanade,1987)<ref>{{Cite book|last=Kanade|first=Takeo|date=1987|url=https://www.worldcat.org/oclc/852791356|title=Three-Dimensional Machine Vision|location=Boston, MA|publisher=Springer US|isbn=978-1-4613-1981-8|oclc=852791356}}</ref>
* ''Development of a Machine Vision System for Automated Structural Assembly'' (Sydow,1992)<ref>{{Cite book|last=Sydow|first=P. Daniel|date=1992|url=https://books.google.co.id/books?id=7304AQAAIAAJ&dq=Machine+Vision+System&hl=id&source=gbs_navlinks_s|title=Development of a Machine Vision System for Automated Structural Assembly|publisher=National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program|language=en}}</ref>
* ''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>
* ''Understanding and Applying Machine Vision, Second Edition, Revised and Expanded'' (Zeuch, 2000)<ref>{{Cite book|last=Zuech|first=Nello|date=2000|url=https://www.worldcat.org/oclc/47009593|title=Understanding and applying machine vision|location=New York|publisher=Marcel Dekker|isbn=0-585-36290-4|edition=2nd ed., rev. and expanded|others=Nello Zuech|oclc=47009593}}</ref>
* ''Machine Vision for the Inspection of Natural Products'' (Graves and Batchelor,2003)<ref>{{Cite book|date=2003|url=https://www.worldcat.org/oclc/56116331|title=Machine vision for the inspection of natural products|location=London|publisher=Springer|isbn=1-85233-853-9|others=Mark Graves, Bruce G. Batchelor|oclc=56116331}}</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>
* ''Handbook of Machine Vision'' (Hornberg, 2006)<ref>{{Cite book|date=2006|url=https://www.worldcat.org/oclc/64967366|title=Handbook of machine vision|location=Weinheim|publisher=Wiley-VCH|isbn=3-527-40584-4|others=Alexander Hornberg|oclc=64967366}}</ref>
* ''Issues on Machine Vision'' (Pieroni,2014)<ref>{{Cite book|date=1989|url=https://www.worldcat.org/oclc/556638516|title=Issues on machine vision|location=Wien|publisher=Springer-Verlag|isbn=978-3-7091-2830-5|others=Goffredo G. Pieroni, International Centre for Mechanical Sciences|oclc=556638516}}</ref>
* ''Handbook of 3D Machine Vision: Optical Metrology and Imaging'' (Zhang, 2016)<ref>{{Cite book|date=2013|url=https://www.worldcat.org/oclc/834627776|title=Handbook of 3D machine vision : optical metrology and imaging|location=Boca Raton|publisher=CRC Press, Taylor & Francis Group|isbn=978-1-4398-7220-8|others=Zhang Song|oclc=834627776}}</ref>
* ''A Guide for Machine Vision in Quality Control'' (Anand and Priya,2019)<ref>{{Cite book|last=ANAND|first=SHEILA. PRIYA, L.|date=2020|url=https://www.worldcat.org/oclc/1134514667|title=A guide for machine vision in quality control|location=[Place of publication not identified]|publisher=CRC Press|isbn=978-1-000-75381-3|oclc=1134514667}}</ref>
 
== Referensi ==
Diperoleh dari "https://wiki-indonesia.club/wiki/Penglihatan_mesin"