TECHNOLOGICAL ADVANCES IN VISION SENSING AND MEASUREMENT
Keywords:
Vision based measurement, Machine vision, Computer vision, Image sensors, Artificial IntelligenceAbstract
From smart industries, there is an impulsion for smaller and faster technologies. This trend is driving advances in the development and application of vision measuring systems that can be automated and integrated with advanced technologies for speed, to deliver precise and repeatable levels of accuracy. Vision-based measurement technologies trend as fast growing and evolving in industrial and non-industrial sectors due to its low cost, accessibility of PC-based hardware, software and due to its user-friendliness. Though there is substantial potential for the increased deployment of vision systems, several significant problems have to be addressed to sustain growth in the area of industrial machine vision. This paper presents the technological advances in machine vision and computer vision systems that resolves some of the limitations and directs to the future research required to solving these problems.
References
Lyndon Neal Smith, ‘Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field’ https://www.sciencedirect.com/science/article/pii/S0166361517305663
Parisa Pouladzadeh, ‘Measuring Calorie and Nutrition from Food Image’, https://ieeexplore.ieee.org/abstract/document/6748066
John Billingsley, ‘Machine Vision in Agriculture’ https://www.springer.com/cda/content/document/cda_downloaddocument/agrophysics+sample+chapter+12.pdf?SGWID=0-0-45-1335838-p173954615
Fabrice Meriaudeau ‘Machine vision systems in the metallurgy industry’, https://www.spiedigitallibrary.org/conference-proceedings-of-spie/3966/0000/Machine-vision-systems-in-the-metallurgy-industry/10.1117/12.380077.short
Alberto Tellaeche, ‘Use of machine vision in collaborative robotics: An industrial case’, https://ieeexplore.ieee.org/abstract/document/7733689
Benjamin Ranft, ‘The Role of Machine Vision for Intelligent Vehicles’, https://ieeexplore.ieee.org/document/7453174
Krishna Kumar Patel, ‘Machine vision system: a tool for quality inspection of food and agricultural products’ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3550871/
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