AI detection of lithium batteries and dangerous goods
Smiths Detection in the UK has launched new machine learning algorithms for its X-ray scanners to detect lithium batteries and dangerous goods such as flammable liquids and solids or compressed and liquefied gasses.
The iCMORE algorithms make the Hi-San 10080 XCT scanner the first explosive-detection system (EDS) to offer these identification options says the company.
Although the screening of dangerous goods is not yet mandatory in hold-baggage and air-cargo screening, the increased level of safety for passengers, staff and assets is a key driver for the implementation of this detection technology.
Rechargeable and non-rechargeable lithium batteries which power everyday devices such as smartphones, tablets, cameras, laptops and power banks are classified as dangerous goods by the air-transportation industry because of their ability to ignite during flights. Since 2006, the US Federal Aviation Administration has recorded more than 260 incidents of smoke, heat, fire or explosion involving lithium batteries in air cargo or baggage.
“As a trusted partner to airports across the world, we are striving to develop new technologies to counteract new and emerging threats,” said Richard Thompson, Global Director Aviation for Smiths Detection.
“The iCMORE modules for both lithium batteries and dangerous goods further enhance the HI-SCAN 10080 XCT, streamlining the hold-baggage and air-cargo screening process without burdening operators. Using this technology will not only make aviation safer but can also help prevent costly fines for shipping dangerous goods in a non-compliant way as well as helping safeguard the global supply of goods, which is essential given the need for medical supplies – for example – to be shipped without interruption.”
Related detection articles
- NEURAL NETWORK DETECTS COVID-19 IN REAL TIME BY XRAY
- CHIPSCALE WIRELESS CHARGING CHIPSET INCLUDES FOREIGN OBJECT OPTION
- PORTABLE AI THERMAL CAMERA MEASURES SIX PEOPLE FOR COVID-19 FEVER
If you enjoyed this article, you will like the following ones: don't miss them by subscribing to :
