Smiths Detection has
launched a new lithium batteries algorithm for the HI-SCAN 10080
EDX-2is, its dual-view air cargo and checked-baggage screening
system.
The algorithm will provide automatic detection of
lithium batteries in all freight and baggage screened for
explosives by the HI-SCAN 10080 EDX-2is.
Consumer demand for lithium batteries is growing
exponentially, as these batteries are the primary power source for
personal and portable electronic devices. Classified as dangerous
goods because of the potential for these batteries to ignite,
lithium batteries pose a significant safety threat. Since January
2006, a total of
310 incidents of smoke, heat, fire or explosion involving
lithium batteries in air cargo or hold baggage have been recorded.
The lithium battery algorithm is part of Smiths
Detection’s family of AI-algorithms, iCMORE, which provides
powerful automatic detection of dangerous goods and weapons across
its conventional x-ray and EDS technologies using deep learning
and classical material discrimination, increasing the safety of
passengers, staff, goods and aircraft in a quick and efficient
way. The iCMORE algorithms are complementary solutions to existing
screening technology.
“We are continually striving to develop new
technologies to ensure the safety of people globally,” said Richard
Thompson, Global Director Aviation for Smiths Detection.
“Harnessing the power of deep learning is crucial in further
developing object recognition algorithms. This new technology has
been developed by working with our customers to capture thousands
of X-ray images to then be analysed by the new algorithm so it can
learn to detect lithium batteries based on shape. This algorithm
will provide the powerful detection of lithium batteries while
increasing efficiency and speed for users.”
In July 2020, Smiths Detection launched iCMORE
detection algorithms for lithium batteries and dangerous goods for
use by its HI-SCAN 10080 XCT scanner, becoming its first
explosive-detection system (EDS) to offer these options.
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