Light Meter Prototype Using Color Sensor for Fotography
Article Sidebar
Read Counter : 315
Download : 283
Main Article Content
Abstract
Light plays an important role in the photography that it affects the quality of the photos. The lighting in the photo is influenced by the three elements of Triangle Exposure, namely aperture, shutter speed, and ISO contained in the camera settings. A tool named Light Meter is a tool that can measure photographic lighting by calculating the intensity of light received by the object of the photo to then adjust the Triangle Exposure elements to get recommendations for appropriate camera settings. In this study, the light meter was implemented using an ESP32 microcontroller combined with a TCS34725 color sensor that functions to detect light intensity. The results of the TCS34725 color sensor to detect light intensity compared to the comparison lux meter AS803 obtained an eror value of 0.3 indoors and 17.2 outdoors with the addition of a dome diffuser. Based on the detected light intensity data is then used in the calculation of Triangle Exposure adjustment. The results of the implementation of the Triangle Exposure recommendation provided by the tool for camera settings show photos with a more even distribution of light and color based on histogram analysis in low light conditions.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The proposed policy for journals that offer open access
Authors who publish with this journal agree to the following terms:
- Copyright on any article is retained by the author(s).
- Author grant the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
- The article and any associated published material is distributed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
References
Allen, E., & Triantaphillidou, S. (2012). The Manual of Photography. Taylor & Francis. https://books.google.co.id/books?id=Sje8D392ufYC
Babiuch, M., Foltynek, P., & Smutny, P. (2019). Using the ESP32 Microcontroller for Data Processing. 2019 20th International Carpathian Control Conference (ICCC), 1–6. https://doi.org/10.1109/CarpathianCC.2019.8765944
Bipasha Biswas, S., & Tariq Iqbal, M. (2018). Solar Water Pumping System Control Using a Low Cost ESP32 Microcontroller. 2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE), 1–5. https://doi.org/10.1109/CCECE.2018.8447749
Espressif Systems. (2023). ESP32-WROOM-32 Datasheet.
Gunawan, C., Fauziah, F., & Hayati, N. (2021). Prototipe Light Meter Fotografi Studio Menggunakan Mikrokontroler ATMega328 Berbasis Sensor Cahaya dan Warna. JURNAL MEDIA INFORMATIKA BUDIDARMA, 5(3), 769. https://doi.org/10.30865/mib.v5i3.3043
Hildebrandt, D. (2022, November 16). The Difference Between Reflective and Incident Metering and How They Work. Https://Www.Digitalphotomentor.Com/the-Difference-between-Reflective-and-Incident-Metering-and-How-They-Work/.
Jacobson, R., Ray, S., Attridge, G. G., & Axford, N. (2000). Manual of Photography. Taylor & Francis. https://books.google.co.id/books?id=3VEdAAAAQBAJ
Kristian, Y., Sampurna, M. T. A., Susanto, E. K., Visuddho, V., & Liem, K. D. (2023). An Affordable phototherapy intensity meter using machine learning to improve the quality of care system for Hyperbilirubinemia in Indonesia. PLOS ONE, 18(5), e0285128. https://doi.org/10.1371/journal.pone.0285128
Peterson, B. (2004). Understanding exposure. Amphoto Books.
Utami, M. D., Zahra, A. A., & Sujadi. (2020). PERANCANGAN DAN ANALISA KINERJA SISTEM AKUISISI DATA SENSOR TCS34725 DAN PEGELIAN POMPA MOTOR DC PADA ALAT PENCAMPUR WARNA. TRANSIENT, 9(3), 360–367.
Wibowo, A., Prasetya, H. Y., & Pratama, A. A. (2015). Analisis Korelasi Warna Terhadap Aperture, ISO dan Shutter Speed (Exposure Triangle) Kamera Digital Single Lens Reflex. Jurnal Integrasi, 7(2), 130–135.
Yunianto, I. (2021). TEKNIK FOTOGRAFI: Belajar Dari Basic Hingga Professional (J. T. Santoso & M. C. Wibowo, Eds.). Yayasan Prima Agus Teknik.