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AUSA 2018: MS Tech Displays Nanotechnology Sensors for Detection

Rugged, Flexible, Agile, Safe and Easy to Use MS Tech will showcase its EXPLOSCAN and DUOSCAN explosives and narcotics detectors at AUSA in Washington 8-10 October.

Safe and easy to use, these detectors are rugged, will operate across a wide range of environmental and weather conditions and are aimed specifically at the homeland security, military, law enforcement, customs and critical infrastructure protection markets. Already deployed globally, they offer a number of additional benefits. They include user-friendly, point-of-screening interfaces enabling real-time sample analysis, and deliver results that require minimal interpretation. They are cost-effective, due in part to patented sampling swabs that reduce the cost of consumables, automatic self-diagnostic software that decreases maintenance downtime, and the fact that they supply a single solution for both narcotics and explosives detection – all of which lowers the level of capital investment required. In addition, the systems are easy to use, are self-calibrating, and include an automatic cleaning cycle that enables a short downtime following an alarm.

We are proud of the company’s unique developments and the patented HF-QCM (High Frequency Quartz Crystal Microbalance) sensors that are embedded in our products. IoT (Internet of Things) and big data sensors are shaping the world we live in, and the embedded IoT and big data sensors in our products provide a unique edge to governments and corporations in controlling and understanding the level and the scale of the threats they face. The sensors, which are used by governments around the world, detect and identify constantly emerging threats, improvised materials, narcotics, contraband and toxic industrial chemicals, thus enabling rapid interception of terror threats, as well as preventing cross-border smuggling of illegal drugs. MS Tech continues its investments in ongoing, cutting-edge R&D programmes,” commented company CEO, Doron Shalom.



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