Ultraviolet Imaging with Low Cost Smartphone Sensors: Development and Application of a Raspberry Pi-Based UV Camera
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 me...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2016-10-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/16/10/1649 |
| _version_ | 1798042445014892544 |
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| author | Thomas C. Wilkes Andrew J. S. McGonigle Tom D. Pering Angus J. Taggart Benjamin S. White Robert G. Bryant Jon R. Willmott |
| author_facet | Thomas C. Wilkes Andrew J. S. McGonigle Tom D. Pering Angus J. Taggart Benjamin S. White Robert G. Bryant Jon R. Willmott |
| author_sort | Thomas C. Wilkes |
| collection | DOAJ |
| description | 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 region. Given the very low cost of these units, ≈ USD 25, they are suitable for widespread proliferation in a variety of UV imaging applications, e.g., in atmospheric science, volcanology, forensics and surface smoothness measurements. |
| first_indexed | 2024-04-11T22:35:37Z |
| format | Article |
| id | doaj.art-24e39299551241929991aa3ff59ba612 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:35:37Z |
| publishDate | 2016-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-24e39299551241929991aa3ff59ba6122022-12-22T03:59:13ZengMDPI AGSensors1424-82202016-10-011610164910.3390/s16101649s16101649Ultraviolet Imaging with Low Cost Smartphone Sensors: Development and Application of a Raspberry Pi-Based UV CameraThomas C. Wilkes0Andrew J. S. McGonigle1Tom D. Pering2Angus J. Taggart3Benjamin S. White4Robert G. Bryant5Jon R. Willmott6Department of Geography, The University of Sheffield, Winter Street, Sheffield, S10 2TN, UKDepartment of Geography, The University of Sheffield, Winter Street, Sheffield, S10 2TN, UKDepartment of Geography, The University of Sheffield, Winter Street, Sheffield, S10 2TN, UKDepartment of Geography, The University of Sheffield, Winter Street, Sheffield, S10 2TN, UKDepartment of Electronic and Electrical Engineering, The University of Sheffield, Portobello Centre, Pitt Street, Sheffield, S1 4ET, UKDepartment of Geography, The University of Sheffield, Winter Street, Sheffield, S10 2TN, UKDepartment of Electronic and Electrical Engineering, The University of Sheffield, Portobello Centre, Pitt Street, Sheffield, S1 4ET, UKHere, 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 region. Given the very low cost of these units, ≈ USD 25, they are suitable for widespread proliferation in a variety of UV imaging applications, e.g., in atmospheric science, volcanology, forensics and surface smoothness measurements.http://www.mdpi.com/1424-8220/16/10/1649UV cameraUV imagingsmartphone sensor technologysulphur dioxide emissionsRaspberry Pilow-cost camera |
| spellingShingle | Thomas C. Wilkes Andrew J. S. McGonigle Tom D. Pering Angus J. Taggart Benjamin S. White Robert G. Bryant Jon R. Willmott Ultraviolet Imaging with Low Cost Smartphone Sensors: Development and Application of a Raspberry Pi-Based UV Camera Sensors UV camera UV imaging smartphone sensor technology sulphur dioxide emissions Raspberry Pi low-cost camera |
| title | Ultraviolet Imaging with Low Cost Smartphone Sensors: Development and Application of a Raspberry Pi-Based UV Camera |
| title_full | Ultraviolet Imaging with Low Cost Smartphone Sensors: Development and Application of a Raspberry Pi-Based UV Camera |
| title_fullStr | Ultraviolet Imaging with Low Cost Smartphone Sensors: Development and Application of a Raspberry Pi-Based UV Camera |
| title_full_unstemmed | Ultraviolet Imaging with Low Cost Smartphone Sensors: Development and Application of a Raspberry Pi-Based UV Camera |
| title_short | Ultraviolet Imaging with Low Cost Smartphone Sensors: Development and Application of a Raspberry Pi-Based UV Camera |
| title_sort | ultraviolet imaging with low cost smartphone sensors development and application of a raspberry pi based uv camera |
| topic | UV camera UV imaging smartphone sensor technology sulphur dioxide emissions Raspberry Pi low-cost camera |
| url | http://www.mdpi.com/1424-8220/16/10/1649 |
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