Innovative Solutions for the Department’s Domestic Nuclear Detection Office
CHANTILLY, Va., September 26, 2012 – Decision Sciences International Corporation (DSIC), an advanced technology provider of security and detection systems, today announced it has been awarded a research and development contract by the U.S. Department of Homeland Security’s (DHS) Domestic Nuclear Detection Office (DNDO) for an Advanced Technology Demonstration (ATD) of its Multi-Mode Passive Detection System (MMPDS). Under the contract, DSIC will support government testing of MMPDS intended to evaluate the system’s effectiveness and readiness for transition to production. The contract has an estimated value of $2.7 million.
“MMPDS is designed to support DNDO’s objective of preventing nuclear terrorism with technology capable of rapidly screening cargo and passenger vehicles for both shielded and unshielded nuclear threats at land and sea ports,” said DSIC President and CEO Dr. Stanton D. Sloane. “This is a very important opportunity for us to work with DHS through DNDO in support of its significant mission.”
Under the contract, DHS’ DNDO will evaluate Decision Sciences’ MMPDS, a completely passive scanning technology that uses naturally occurring cosmic ray muons to safely and securely detect and locate potential threats hidden in cargo, vehicles and other conveyances.
About Decision Sciences:
Decision Sciences is an advanced security and detection systems company based in Chantilly, Virginia, that brings together hardware and software development, systems integration and cutting edge science to improve the safety and security of global commerce. Based on technology originally invented by scientists at the renowned Los Alamos National Laboratory, the Multi-Mode Passive Detection System ™ was then developed with considerable private sector investment and expertise. MMPDS is a totally safe, effective and reliable automated scanning device for quickly detecting unshielded to heavily shielded nuclear and radiological threats.
For additional information on Decision Sciences, visit dev.decisionsciences.com.