A leader in threat detection and security screening technologies, Smiths Detection, has launched a new lithium batteries algorithm for its dual-view air cargo and checked-baggage screening system – the HI-SCAN 10080 EDX-2is.
“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,” he explained.
Providing automatic detection of lithium batteries in all freight and baggage screened for explosives by the HI-SCAN 10090 EDX-2is, the algorithm reduces the burden on image analysts with very low false alarm rates.
With consumer demand for lithium batteries growing significantly, 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.
The lithium battery algorithm is part of Smiths Detection’s family of AI-algorithms, iCMORE, which Smiths Detection launched in July 2020, and 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.
“This algorithm will provide the powerful detection of lithium batteries while increasing efficiency and speed for users,” added Thompson.