Apstec Merlin – The New Standard for Non-invasive Security Screening to Detect Metallic Threats
Stockholm – Dubai, January 9, 2026 – Apstec Systems® (Apstec®) continues to deliver the Future of Security Screening, announcing today the launch of its new AI-driven discriminative metal detection system, Apstec Merlin, at Intersec Dubai (The World’s Leading Safety, Security and Fire Protection Event) at the Dubai World Trade Center from January 12–14.
Apstec Merlin sets a new standard for non-invasive security screening of people and their belongings. The walk-through system accurately distinguishes between metallic threats, such as firearms or knives, and everyday items, such as phones and keys, without the need for divestment.
Apstec Merlin is an intelligent and cost-effective solution that enables publicly accessible venues such as mass transport hubs, entertainment venues, and sports stadia to non-invasively screen large numbers of visitors, improving security while simultaneously enhancing the entrance experience.
“We are delighted to be launching Apstec Merlin at Intersec,” said Niclas Gustafsson, Apstec’s Group CEO/COO. “Apstec Merlin represents a major step forward in the evolution of metallic threat detection technology, offering a robust, intelligent, and affordable solution to today’s security challenges. Intersec gives us a great platform to engage with decision makers in the Gulf Region and globally.”
Developed specifically for customers who require a cost-effective, high-throughput, and non-invasive screening solution to detect and discriminate between metallic threats and everyday items. Compact, adaptable, and easy to operate, Apstec Merlin is designed to integrate seamlessly into existing security operations. It provides fast, reliable, and accurate screening of people and their belongings without compromising comfort or throughput.
Visitors to Intersec will have the opportunity to visit Apstec at stand number S3-D44 for demonstrations of the new Apstec Merlin, as well as the award-winning Apstec Falcon for AI-driven detection of explosives, weapons, and narcotics.