US-based IT company Unisys has unveiled its new LineSight application, which detects suspicious cargo and people at border crossings and airports.
Powered by predictive data analytics and artificial intelligence (AI), the software improves accuracy in assessing border security threats and allows border agents to make critical, on-the-spot decisions whether travellers or shipments should be admitted, detained or subject to further scrutiny.
LineSight also evaluates risk for travellers crossing borders and refines the assessment process as more information becomes available, starting from the initial visa application, reservation, ticket purchase, seat selection, check-in and arrival.
Unisys public sector global head Mark Forman said: “Many legacy border security solutions identify potentially risky travellers and cargo based on previously known threats.
“Due to the overwhelming amount of data that has to be reviewed, as well as limited budgets and resources in governments, these old solutions can’t keep up.
“LineSight allows border agents around the world to more effectively accelerate the movement of passengers and cargo without compromising safety. The result is faster and better-informed border clearance and a safer process for us all.”
How well do you really know your competitors?
Access the most comprehensive Company Profiles on the market, powered by GlobalData. Save hours of research. Gain competitive edge.
Thank you!
Your download email will arrive shortly
Not ready to buy yet? Download a free sample
We are confident about the unique quality of our Company Profiles. However, we want you to make the most beneficial decision for your business, so we offer a free sample that you can download by submitting the below form
By GlobalDataThe solution, which gives near real-time information of potential threats in a short timespan, does not rely only on pre-defined pattern matching rules.
Instead, the software learns from experience and automatically generates new rules and algorithms to continuously improve assessment accuracy over time.