Literature DB >> 22862556

Characterization of a smartphone camera's response to ultraviolet A radiation.

Damien Igoe1, Alfio Parisi, Brad Carter.   

Abstract

As part of a wider study into the use of smartphones as solar ultraviolet radiation monitors, this article characterizes the ultraviolet A (UVA; 320-400 nm) response of a consumer complementary metal oxide semiconductor (CMOS)-based smartphone image sensor in a controlled laboratory environment. The CMOS image sensor in the camera possesses inherent sensitivity to UVA, and despite the attenuation due to the lens and neutral density and wavelength-specific bandpass filters, the measured relative UVA irradiances relative to the incident irradiances range from 0.0065% at 380 nm to 0.0051% at 340 nm. In addition, the sensor demonstrates a predictable response to low-intensity discrete UVA stimuli that can be modelled using the ratio of recorded digital values to the incident UVA irradiance for a given automatic exposure time, and resulting in measurement errors that are typically less than 5%. Our results support the idea that smartphones can be used for scientific monitoring of UVA radiation.
© 2012 Wiley Periodicals, Inc. Photochemistry and Photobiology © 2012 The American Society of Photobiology.

Entities:  

Year:  2012        PMID: 22862556     DOI: 10.1111/j.1751-1097.2012.01216.x

Source DB:  PubMed          Journal:  Photochem Photobiol        ISSN: 0031-8655            Impact factor:   3.421


  4 in total

1.  Ultraviolet Imaging with Low Cost Smartphone Sensors: Development and Application of a Raspberry Pi-Based UV Camera.

Authors:  Thomas C Wilkes; Andrew J S McGonigle; Tom D Pering; Angus J Taggart; Benjamin S White; Robert G Bryant; Jon R Willmott
Journal:  Sensors (Basel)       Date:  2016-10-06       Impact factor: 3.576

2.  How conspicuous are peacock eyespots and other colorful feathers in the eyes of mammalian predators?

Authors:  Suzanne Amador Kane; Yuchao Wang; Rui Fang; Yabin Lu; Roslyn Dakin
Journal:  PLoS One       Date:  2019-04-24       Impact factor: 3.240

Review 3.  Application of Image Sensors to Detect and Locate Electrical Discharges: A Review.

Authors:  Jordi-Roger Riba
Journal:  Sensors (Basel)       Date:  2022-08-06       Impact factor: 3.847

Review 4.  Smartphone Spectrometers.

Authors:  Andrew J S McGonigle; Thomas C Wilkes; Tom D Pering; Jon R Willmott; Joseph M Cook; Forrest M Mims; Alfio V Parisi
Journal:  Sensors (Basel)       Date:  2018-01-14       Impact factor: 3.576

  4 in total

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