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How ScanTech AI is setting new standards with AI-driven CT scanning

In response to heightened security concerns in the early 2000s, public venues, border crossings, and airports adopted more stringent screening measures

scanning
Image courtesy of Sentinel CT
Image courtesy of Sentinel CT

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In response to heightened security concerns in the early 2000s, public venues, border crossings, and airports adopted more stringent screening measures.  While several incidents contributed to these changes in the security industry, the events of September 11, 2001, were a major catalyst. As public spaces implemented far more rigorous and methodical security measures, greater questions arose about how to best move people through security checkpoints efficiently while still effectively verifying everyone’s safety. 

To help answer this, computed tomography (CT) scanners were implemented at many locations. CT scanners are medical tools that digitize X-ray data and use it to produce detailed images of the body. While this technology proved capable, it has also proven to be difficult to operate, time-consuming, and high in maintenance costs. 

ScanTech AI (STAI) has developed a solution by creating AI-driven CT scanner designed to improve checkpoint security at airports, border crossings, and public events. In comparison to traditional CT scanners, STAI’s Fixed-Gantry AI-driven scanners do not rely on moving parts, potentially reducing maintenance costs and streamlining threat detection by making the process faster.

Key features

ScanTech AI’s CT scanners utilize AI-driven imaging technology to generate detailed security scans. Unlike traditional security CT systems, these scanners do not rely on moving mechanical components, which can reduce maintenance requirements.

Fixed-Gantry AI-driven systems are designed to allow passengers to keep liquids, electronics, and other items in their bags during screening. If widely adopted, this could help reduce the time required for security checks and increase the number of passengers screened per hour.

AI-integrated screening

While earlier iterations of CT scanners retrofitted an established medical tool for new security purposes, ScanTech AI’s CT scanners were built specifically with security process enhancement in mind. The addition of machine learning to the system furthers this aim with the hopes of increasing security screening accuracy while reducing the time these processes take. 

Industry partnerships and certifications

ScanTech AI has partnered with several institutions and regulatory bodies, including collaborations with several national laboratories, such as Lawrence Livermore National Laboratory, Sandia National Laboratories, and the Department of Homeland Security’s Science & Technology Directorate.

The company has also acquired TSA Tier 2 Explosive Detection certification and Underwriter’s Laboratory (UL) certification.

Recent developments

ScanTech AI recently secured a contract to provide CT screening systems to a North American power producer’s nuclear infrastructure security. The company also completed a business combination with Mars Acquisition Corp. and is now listed on Nasdaq under the ticker symbol “STAI.”

The company has also partnered with the Virginia Department of Corrections to pilot its contraband detection system for inmate mail screening. In addition, it has established research and development collaborations with institutions such as the Georgia Institute of Technology.

Advanced security screening

Companies like ScanTech AI are exploring new approaches to security challenges through the use of AI-driven screening technology. By developing CT scanning systems for security applications, the company aims to improve detection capabilities and operational efficiency by potentially reducing maintenance costs and enabling faster, more accurate detection of explosives, weapons, drugs, cash, and other contraband at airports, border checkpoints, public venues, and correctional facilities.

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Written By

Jon Stojan is a professional writer based in Wisconsin. He guides editorial teams consisting of writers across the US to help them become more skilled and diverse writers. In his free time he enjoys spending time with his wife and children.

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