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AI Security Sytems

Unisys' LineSight System Will Hopefully Reduce Random Border Checks

— March 7, 2018 — World
In an effort to reduce unnecessary inspections, Unisys is launching its LineSight system as a tool to flag suspicious people and cargo with sophisticated AI. The system is designed to work alongside authorities and processes data like airline ticket information, cargo manifests, and information from organizations like immigration agencies and Interpol. The LineSight system uses machine learning to flag anomalous arrivals or others of concern.

The LineSight system can be tailored to fit specific agency needs, with the software focusing on specific data input by the agency. Unisys, which already provides services to U.S. Customs and Border Protection as well as European and Australian agencies, will offer LineSight to its existing clients. The system currently contains a large supply of data chains, but is still limited as it cannot extract data from travelers' social media posts, though it is possible that individual agencies will use this information in follow-up screenings.


Image Credit: U.S. Customs and Border Protection
Trend Themes
1. AI Security Systems - AI technology is being implemented in security systems to reduce unnecessary inspections and flag suspicious people and cargo.
2. Machine Learning for Data Analysis - Machine learning is being used to process data like airline tickets, cargo manifests, and information from organizations like immigration agencies and Interpol.
3. Tailored Security Solutions - Security systems are being created to fit specific agency needs, with software focusing on data input by the agency.
Industry Implications
1. National Security and Border Control - Agencies like Customs and Border Protection are providing a market for AI security systems.
2. Airline and Cargo Transportation - The airline and cargo transportation industry is adopting new security measures with AI technology.
3. Cybersecurity - AI-powered security systems are also being developed to protect against cyber threats.
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