Xtract One Technologies launches new weapons detection for large items
Victoria Rees
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Xtract One Technologies has announced that it will launch Xtract One Gateway, an AI-driven weapons detection security solution, at GSX 2024 in Orlando, Florida.
With advanced bi-directional configurable screening and proprietary sensors designed for precise weapons detection and identification, the company says that Gateway is purpose-built for locations where visitors regularly enter carrying numerous larger personal items, otherwise categorized in the security screening field as “medium-clutter environments.”
The system will not only balance powerful threat classification and detection with seamless flow for individuals, but also enhance safety standards and optimize operational efficiency.
Weapons detection
“The forefront of our mission is creating environments where the highest-level of innovative security and convenience coexist,” said Peter Evans, CEO of Xtract One.
“We’re excited to unveil Xtract One Gateway to help build those welcoming experiences to a broader market while also ushering in a portfolio of the next generation of seamless, unobtrusive security solutions that cater to each venue’s unique and specific security requirements.
“As more and more schools, convention centers and companies adopt weapons screening solutions, they are challenged by laptops and other metallic objects essential for work.
“With Gateway, we’re continuing to deliver solutions that work to enhance efficiency and streamline security processes, while improving everyday life. Gateway is a game changer for the industry.”
Xtract One Gateway is designed specifically for scanning individuals and their belongings, allowing seamless passage through checkpoints and eliminating the need for separate bag searches, thereby reducing screening times dramatically.
“Gateway revolutionizes the modern-day security experience, with its advanced AI and proprietary sensors, offering bi-directional screening and precise threat classification,” said Joshua Douglas, Senior Vice President of Product & Engineering at Xtract One.
“The system has been trained to distinguish between everyday items and mass casualty threats, focusing on distinct features like object shape, size and material.”