Thursday, March 8, 2012

Universal Detection Technology’s (UNDT) Smartphone App for RadSmart Device Takes Radiation Detection Mobile

Universal Detection Technology, a developer of early-warning monitoring technologies that protect against chemical, biological, radiological, and nuclear threats, today announced the unveiling of the first generation smartphone application for its RadSmart Device, which was developed in collaboration with Honeywell India.

The RadSmart technology is designed to detect radiation levels on surfaces and in food and to automatically send the collected data to a smartphone so that the user can share accumulated readings with other users and databases. The smartphone application is compatible with Facebook, Twitter, and radiation mapping databases.

The system will detect Gamma rays by utilizing a Cesium Iodide (CsI) scintillator, the most sensitive detection mechanism for detecting Gamma radiation.

It’s been nearly a year since the Sendai earthquake and tsunami in Japan that caused the meltdown at the Fukushima Daiichi power plant. A study published in the peer reviewed journal Atmospheric Chemistry and Physics reports that the extent of release of radioactive byproduct of nuclear fission into the atmosphere is more than twice the amounts originally estimated by Japanese authorities – nearly as much as 42 percent as much radioactivity as experienced with Chernobyl.

In response to these high levels, the Japanese ministry of agriculture mandates that 5 cm of topsoil should be removed prior to any farming activity. This mandate reflects the wide-spread need for radiation detection and decontamination.

“A year after the Fukushima disaster, the focus of the Japanese government has increasingly moved to the decontamination of the disaster area,” Jacques Tizabi, Universal Detection’s chairman and CEO stated in the press release. “RadSmart has been designed for this specific scenario as it will be able to geo-locate the particular test surface and compare data before and after decontamination.”

For more information visit www.udetection.com

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