Scanary Develops AI-Powered Radar System for Mass Security Screening

23 July, 2025

Wide-band radar and AI classify concealed threats in real time across large venues, enabling seamless flow and reduced manpower. “No queues, no contact”

Israeli startup Scanary.ai is introducing a patented radar and AI-based scanning system for remote mass security screening in open environments. The system, developed by the Tel Aviv-based company, scans individuals in motion from a distance of up to 10 meters — eliminating the need for physical checks or queues common at today’s security checkpoints. To date, the company has raised about $3 million.

The scan takes less than two seconds and, if proven effective, could revolutionize crowd security at large-scale events by replacing physical pat-downs and pocket emptying. The system has received regulatory approvals in Europe, including CE and GDPR certifications, as it avoids facial recognition and does not compromise privacy. Scanary is currently in the approval process with U.S. regulators, and several pilot deployments are expected in Israel in the coming months, followed by tests in the United States.

Detecting a Knife Under a Shirt

Scanary’s mass screening system is based on spatially deployed wide-range radar sensors that generate a precise 3D map of people and objects in the environment. Using wide-band electromagnetic waves, the system can determine an object’s shape by analyzing wave dispersion, and identify its material — such as metal, plastic, or liquids — by the frequency of the returning signal. It can even detect concealed items under clothing or within bags, all without physical contact or stopping the individual. According to the company, the system is sensitive enough to identify small items such as a keychain.

The second layer of the system is an AI engine that classifies objects as either routine (phones, laptops, keychains) or threatening (weapons or other dangerous items). The AI engine is designed to continuously learn from accumulated data, improving accuracy over time and adapting to new environments, different lighting conditions, and weather scenarios.

Scanary’s user interface integrates real-time augmented reality layers onto existing CCTV or control room displays. Alerts are pushed directly to security team members via mobile devices, AR glasses, or control centers, enabling fast and effective responses — especially in open-area deployments like event entrances or airport terminals.

Thanks to its modular architecture, the system can be integrated into existing infrastructure with minimal changes. It supports both indoor and outdoor deployments and is suitable for small entryways like office buildings, as well as large areas such as stadiums, festivals, or airport terminals.

Founded by Security and Tech Veterans

Scanary was founded in 2024 by a group of veterans from Israel’s high-tech and defense-tech sectors. CEO Ronen Yeshvitz, a Unit 8200 alumnus, previously led mobility company Gita, which was acquired by Verint. CTO Dr. Gideon Levita is a radar engineering expert with over 40 years of experience leading radar development projects in Israel’s defense industry, including systems such as Iron Dome and Trophy (Windbreaker). Other co-founders include AI and algorithm specialists from the medical device industry.

The company currently employs 10 people and has raised $3.5 million in a pre-seed round from notable angels and early-stage investors.

“Our vision is to fundamentally change how public safety is managed in open spaces,” said CEO Ronen Yeshvitz. “By combining artificial intelligence, advanced imaging, and computer vision, we enable threat detection from a distance — without stopping people, creating queues, or compromising privacy. It’s a true leap forward in security that respects individuals rather than suspecting them. Our solution not only enhances safety, it delivers real value to customers by reducing operational costs and resource requirements. As violent crime, mass shootings, and terrorism continue to rise globally, smarter and more efficient technological solutions are urgently needed — and we are ready to provide them.”

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Posted in: AI , Security

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