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2020 | OriginalPaper | Chapter

1. Image and Signal Sensors for Computing and Machine Vision: Developments to Meet Future Needs

Authors : Ross D. Jansen-van Vuuren, Ali Shahnewaz, Ajay K. Pandey

Published in: Machine Vision and Navigation

Publisher: Springer International Publishing

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Abstract

Image sensors used in current machine vision systems suffer from low dynamic range and poor colour constancy and are brittle and unmalleable, limiting their use in applications for which there will be considerable demand in the future. Most approaches aiming to resolve these inadequacies focus on developing improvements in the lighting, software (processing algorithms) or hardware surrounding the photosensor such as the filters. Other strategies involve changing the architecture of the image sensor and the photosensing material; both have experienced recent success. Although they are yet to break fully into the market, image sensors developed from alternative solution-processed materials such as organic semiconductors and organohalide perovskites have immense potential to address the above issues and to ‘disrupt’ machine vision technology.

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Metadata
Title
Image and Signal Sensors for Computing and Machine Vision: Developments to Meet Future Needs
Authors
Ross D. Jansen-van Vuuren
Ali Shahnewaz
Ajay K. Pandey
Copyright Year
2020
Book
Machine Vision and Navigation

Print ISBN: 978-3-030-22586-5

Electronic ISBN: 978-3-030-22587-2

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-22587-2_1