2016
DOI: 10.3390/s16101649
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Ultraviolet Imaging with Low Cost Smartphone Sensors: Development and Application of a Raspberry Pi-Based UV Camera

Abstract: Here, we report, for what we believe to be the first time, on the modification of a low cost sensor, designed for the smartphone camera market, to develop an ultraviolet (UV) camera system. This was achieved via adaptation of Raspberry Pi cameras, which are based on back-illuminated complementary metal-oxide semiconductor (CMOS) sensors, and we demonstrated the utility of these devices for applications at wavelengths as low as 310 nm, by remotely sensing power station smokestack emissions in this spectral regi… Show more

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Cited by 69 publications
(77 citation statements)
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“…As ambient H 2 O levels tend to be highest in the lowest sections of the atmosphere, better performance should be achievable on higher volcanoes, where there is stronger incident NIR radiation, and less ambient H 2 O, in the upward-looking atmospheric column. Furthermore, given the recent parallel development of smartphone sensor-based UV cameras (also around ≈ €500) for volcanic SO 2 flux measurements [38], this could also pave the way for rather inexpensive multiple gas flux data acquisitions from volcanoes, and/or the use of similar camera set-ups, which provide more stable camera operation [39] for the H 2 O flux measurements detailed here.…”
Section: Discussionmentioning
confidence: 99%
“…As ambient H 2 O levels tend to be highest in the lowest sections of the atmosphere, better performance should be achievable on higher volcanoes, where there is stronger incident NIR radiation, and less ambient H 2 O, in the upward-looking atmospheric column. Furthermore, given the recent parallel development of smartphone sensor-based UV cameras (also around ≈ €500) for volcanic SO 2 flux measurements [38], this could also pave the way for rather inexpensive multiple gas flux data acquisitions from volcanoes, and/or the use of similar camera set-ups, which provide more stable camera operation [39] for the H 2 O flux measurements detailed here.…”
Section: Discussionmentioning
confidence: 99%
“…The lack of hyper-spectral data, unless the units are spectroscopically, rather than cell, calibrated, also provides less opportunity to mitigate against radiative transfer errors. One factor which might assist the further dissemination of the camera technology is the recent demonstration that order of magnitude cheaper smartphone sensor-based systems can be used in volcanic SO 2 monitoring [29,30] (Figure 3). These units are so light that they could also be straightforwardly mounted on inexpensive drones available in the consumer electronics market for aerial observations to broaden the prior reach of drone-based volcanic gas surveillance [61,62].…”
Section: Future Directionsmentioning
confidence: 99%
“…A false colour gas column amount inset image is included in the graphic, with scale to right, for the cheaper units, which were based on modified Raspberry Pi cameras (Raspberry Pi Foundation, Cambridge, UK). For further detail, see [29,30].…”
Section: Ultraviolet Camera Instrumentationmentioning
confidence: 99%
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“…Mei et al used the smartphone to measure the ultra-violet radiation (UV) and results were compared with a digital UV meter to validate the usage of the sensor on a smartphone [34]. Wilkes et al have discussed the possibility of using the smartphone sensor as a UV camera system [40,41]. Finally, Gutierrez-Martinez et al discussed the possibility of using smartphone devices for light measurements in a case study.…”
Section: Introductionmentioning
confidence: 99%