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Improved tunable filter-based multispectral imaging system for detection of blood stains on construction material substrates
(2013-09-18)
Janchaysang, Suwatwong
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Sumriddetchkajorn, Sarun
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Buranasiri, Prathan
We present the improved tunable filter based multispectral imaging system for detecting blood stains on construction materials. Based upon the reflectance and Kubelka Munk absorbance spectra stocked from our previous work, we modify the blood discrimination criteria to make the system more efficient by replacing the old criteria which make use of polynomial fitting with new criteria associated with a few wavelengths images. The newly established criteria are tested to be able to detect blood against other stains almost as efficient as the old criteria, while the number of spectral images required for detecting blood stains are reduced significantly from 64 to 9 spectral images. The reduction of required spectral images will reduce the time needed for image capturing and blood detection criteria application with little sacrificing of the specificity and sensitivity of the system. © 2013 SPIE.
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Laser-based mosquito repelling module
(2012-12-01)
Boonsri, Chantira
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Sumriddetchkajorn, Sarun
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Buranasiri, Prathan
This article proposes and shows that a low-optical-power laser when arranged in a zigzag fashion in a free space can create strong air thermal stress and form a chemical-free optical net that is capable of repelling adult mosquitoes away. Experimental proof of concept using a pointer-like diode-pump solid-state laser (447 nm wavelength and 500 mW maximum) and reflective sheets shows that all 80 adult Aedes albopictus mosquitoes are completely trapped inside the open glass chamber. Most of the adult mosquitoes prefer to stay near the bottom of the open glass chamber as it is cooler than the top part that contains several zigzagging laser beams. Reducing air thermal stress via increasing the spacing between the two adjacent laser beams allows the adult mosquitoes to easily escape out of the zone of the laser beams. © 2012 IEEE.
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Cell phone-based two-dimensional spectral analysis for banana ripeness estimation
(2012-06-20)
Intaravanne, Yuttana
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Sumriddetchkajorn, Sarun
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Nukeaw, Jiti
It is known that when green fruits such as bananas and mangoes grow from the immature to the ripe stages, their color changes from green to yellow. However, once the green fruits are yellow, it is difficult to classify them into the ripe and the overripe stages. Here, we propose and experimentally demonstrate for the first time a two-dimensional banana ripeness level sensor by using a cell phone. Our key approach relies on simultaneous analysis of two broad-spectral images of the banana under white light and ultraviolet illuminations. Particularly, our selected color ratios from these two broad-spectral images are used for spatially and specifically classifying the whole banana into immature, ripe, and overripe zones. Experimental proof of concept using a smart mobile phone is highlighted, featuring fast response, portability, and ease of implementation. © 2012 Elsevier B.V.
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Combination of simple chemical and spectroscopic methods for the identification of Thai hom mali rice
(2009-09-08)
Suwansukhoa, Kajpanya
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Sumriddetchkajorn, Sarun
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Buranasiri, Prathan
As the Thai Dawk Mali (KDML105) rice variety is popular due to its high sensory after cook, there is an increase in mixing the KDML105 rice with other rice varieties that leads to unqualified KDML105 milled rice products for export and unqualified unmilled rice seeds for next plants. Instead of using traditional time consuming methods based on the disintegration of the rice kernel in an alkali solution and the inspection of rice cooked in boiling water, this paper proposes to analyze the milled rice powder dissolved in our alkali solution via a spectroscopic method. In our study, 0.1 g, 0.2 g, and 0.3 of milled rice powder from four Thai rice varieties, i.e., KDML105, Pathumthani1, Chainat1, and RD6, are selected. Then each milled rice sample is ground and then dissolved in a 10% potassium hydroxide (KOH) solution. At the specified minutes of dissolution, the relative optical transmission spectrum of the milled rice solution in a 500-800 nm wavelength is measured and only its first derivative is used for the identification of the KDML105 milled rice. We find that the use of 0.10 g of the milled rice powder dissolved in our KOH solution for 10 minutes provides the lowest false rejection rate of 15%, indicating that we have a faster approach with less amount of waste produced. With the 0.2-g milled rice powder, 5 minutes of dissolution is needed but with a slightly higher false rejection rate of 18.3%. © 2009 SPIE.

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