Smiths Detection has launched a new lithium batteries algorithm for its dual-view air cargo and checked-baggage screening system ‘HI-SCAN 10080 EDX-2is’.

The threat detection and security screening technologies company said the algorithm would provide automatic detection of lithium batteries in all freight and baggage screened for explosives by the HI-SCAN 10080 EDX-2is. This will “reduce the burden on image analysts with very low false alarm rates”, it said.

Lithium batteries are classified as dangerous goods because of the potential for them to ignite. Smiths Detection noted there had been 310 reported incidents of smoke, heat, fire or explosion involving lithium batteries in air cargo or hold baggage since January 2006.

The lithium battery algorithm is part of Smiths Detection’s family of AI-algorithms, called ‘iCMORE’, which provide automatic detection of dangerous goods and weapons across its conventional x-ray and EDS technologies using deep learning and classical material discrimination. The iCMORE algorithms complement existing screening technology.

“We are continually striving to develop new technologies to ensure the safety of people globally,” said Smiths Detection’s global director aviation Richard Thompson. “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.”