Smiths Detection has launched a new lithium batteries algorithm for its 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, reducing the burden on image analysts with very low false alarm rates.
The new technology comes as consumer demand for lithium batteries, which are the primary power source for personal and portable electronic devices, increases.
However, the batteries have the potential to ignite, with a total of 310 incidents of smoke, heat, fire or explosion involving lithium batteries in air cargo or hold baggage recorded since 2006, meaning they are classified as dangerous goods and pose a safety threat.
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 aircrafts.
The iCMORE algorithms are complementary solutions to existing screening technology and the detection algorithms for lithium batteries and dangerous goods have been used in the specified scanners since July 2020.
Smiths Detection global director aviation Richard Thompson said: “We are continually striving to develop new technologies to ensure the safety of people globally.
“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.”
