Development of a webcam based lux meter

Ismail, Abdul Halim; Azmi, M. S. Muhamad; Hashim, Muhamad Arif; Ayob, Mohd Nasir; Hashim, M S M; Hassrizal, H. B.

doi:10.1109/isci.2013.6612378

Cited by 19 publications

(12 citation statements)

References 6 publications

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“…In this respect, the results show how professional cameras are more qualified for use as a luminance measure camera owing to its high color rendering. Similar principles used by Wuller in the use of digital still cameras are applied to the research carried out by Ismail et al [12]. This study shows how it is possible to design a webcam based luxmeter that is applicable and suitable for lighting monitoring as well as the ability to be used in an embedded application.…”

Section: Light Measurement Analysissupporting

confidence: 53%

“…Nowadays, it is normal to see photographers measuring light characteristics with external luxmeters to adjust their shutter speed and depth of field to get best picture quality [12]. This relationship is present in the photographs' characteristics to the point that it is possible to measure the illuminance through the camera values at the time of taking a picture, as well as the characteristics of the colors of the picture taken.…”

Section: Mobile Cameramentioning

confidence: 99%

“…Photographers use different techniques to manipulate individual parts of a photograph, removing shadows and highlighting features, among others [11]. Therefore, it is recommended to measure light intensity to adjust the camera characteristics in order to get the best photograph quality [12].…”

Section: Introductionmentioning

confidence: 99%

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Smartphones as a Light Measurement Tool: Case of Study

et al. 2017

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Abstract:In recent years, smartphones have become the main computing tool for most of the population, making them an ideal tool in many areas. Most of these smartphones are equipped with cutting-edge hardware on their digital cameras, sensors and processors. For this reason, this paper discusses the possibility of using smartphones as an accessible and accurate tool, focusing on the measurement of light, which is an element that has a high impact on human behavior, which promotes conformance and safety, or alters human physiology when it is inappropriate. To carry out this study, three different ways to measure light through smartphones have been checked: the ambient light sensor, the digital camera and an external Bluetooth luxmeter connected with the smartphone. As a result, the accuracy of these methods has been compared to check if they can be used as accurate measurement tools.

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Section: Light Measurement Analysissupporting

confidence: 53%

Section: Mobile Cameramentioning

confidence: 99%

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Smartphones as a Light Measurement Tool: Case of Study

et al. 2017

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“…Another renowned and well-known tool to evaluate energy efficiency is the SEAD street lighting evaluation toolkit. It can help make better choices regarding street lighting fixtures, which can lead to a maximum of 50% in energy savings [22], by providing an easy way of performing evaluations of light quality, energy consumption, and life cycle costs of efficient street lighting alternatives. This tool is supported by Mexico's National Commission for Energy Efficiency, India's Bureau of Energy Efficiency, Natural Resources Canada, the Swedish Energy Agency, and the U.S. Department of Energy.…”

Section: Light Evaluation Softwarementioning

confidence: 99%

Evaluation and Improvement of Lighting Efficiency in Working Spaces

et al. 2018

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Lighting is an essential element for modern life, promoting a sense of wellbeing for users. However, bad illumination may produce health problems such as headaches and fatigue, among other vision problems. For that reason, this paper proposes the development of a smartphone-based application to help in lighting evaluation to guarantee the compliance of illumination regulations and to help increase illuminance efficiency, reducing its energy consumption. To perform this evaluation, the smartphone can be used as a lighting measurement tool, evaluating those measurements through an intelligent agent based in rules capable of guiding the decision-making process. As a result, this tool allows the evaluation of the real working environment to guarantee lighting requirements, helping in the prevention of health problems derived from bad illumination and improving the lighting efficiency at the same time.

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“…Calibration adjustment was set through luminance meter. Ismail et al [6], have developed a webcam-based luminance meter. Images taken in a controlled environment were analyzed by image processing.…”

Section: Introductionmentioning

confidence: 99%

LED Board Error Detection Automation with Image Processing

Üncü

Coşkunsu

2015

Acta Phys. Pol. A

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Nowadays, a great part of energy consumption belongs to lighting products. For this reason, lighting fixtures that consume less energy but perform more efficiently are manufactured. LEDs are the latest product of this development. LEDs have advantages over traditional lighting systems, such as being efficient, long lasting and environment friendly. Recently, with the development of technology, the image processing techniques are used in various fields. Image processing-based fault detection systems have become a frequently referenced solution in industrial automation systems due to the rapid analysis ability and high level of accuracy. Along with the use of cameras in the photometric measurements, it has become possible to make multiple measurements on the same photograph. In this study, control automation has been developed to determine the photometric properties in LED boards, used in the production of LED lighting fixtures. Improper LEDs are detected by checking colour and brightness of all LEDs on the LED board by means of a computer-controlled system.

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Development of a webcam based lux meter

Cited by 19 publications

References 6 publications

Smartphones as a Light Measurement Tool: Case of Study

Smartphones as a Light Measurement Tool: Case of Study

Evaluation and Improvement of Lighting Efficiency in Working Spaces

LED Board Error Detection Automation with Image Processing

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