Proceedings of the 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022)

The Past and Future Development of Light Meters

Authors
Jiahao Chenraffaellochen@gmail.com
Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, Hong Kong
Corresponding Author
Available Online 29 April 2022.
DOI
10.2991/aebmr.k.220405.340How to use a DOI?
Keywords
Light meters; Machine Learning; Photography; Geometrical Optics; Selenium Light Meters; Chemical Light Meters
Abstract

By experimenting a variety of both historic and modern light meters and collecting feedbacks from both academic articles and public forums, relatively scientific analytic results toward the development of light meters can be gained. In this article, certain classical and worldwide used models of light meters will be listed and analyzed concerning their potential advantages and disadvantages. Furthermore, there will also be certain expectations towards the future development of light meter combined with the new technology of machine learning.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title
Proceedings of the 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
29 April 2022
ISBN
978-94-6239-572-5
ISSN
2352-5428
DOI
10.2991/aebmr.k.220405.340How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

TY  - CONF
AU  - Jiahao Chen
PY  - 2022
DA  - 2022/04/29
TI  - The Past and Future Development of Light Meters
BT  - Proceedings of the 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022)
PB  - Atlantis Press
SP  - 2028
EP  - 2033
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220405.340
DO  - 10.2991/aebmr.k.220405.340
ID  - Chen2022
ER  -