Kelvin Hughes


Kelvin Hughes at Intersec 2016

From 17th to 19th January, Kelvin Hughes will be on stand S1-H43 at Intersec 2016 with Silent Sentinel, developers of specialist surveillance platforms.

Intersec, which is being held at the Dubai International Convention and Exhibition Centre, is the world’s leading and most international security and safety exhibition. In 2015, it attracted 1,234 exhibitors and was attended by more than 27,300 visitors from 118 countries.

Of particular interest for Kelvin Hughes is the event’s newly introduced Physical & Perimeter Security section and we will be promoting our SharpEye™ SxV radar along with our SMS system and CxEye™ control and integration software. A lightweight version of the X-Band Long Range SharpEye™ radar, the SxV features the same solid state transceiver technology, offers the same ability to detect small, slow moving targets even in the most adverse weather conditions.

The SMS (Single Mast Solution) is designed for multiple situations where autonomous surveillance is required, day or night and in all weather conditions. It can be securely attached to any mast system - whether portable, vehicle-mounted or on a fixed structure - and integrated with a SharpEye™ SxV radar together with a wide range of electro-optical sensors, including thermal imaging cameras. Featuring a through-shaft unit, the SMS provides a 360° pan, tilt and zoom capability with no blind arcs, enabling the sensors/cameras to be mounted either side of the mechanism with the SxV radar mounted directly above.

When the SharpEye™ SxV, as part of the SMS, is deployed with Kelvin Hughes’ CxEye™ control and integration software, the user is able to gain full situational awareness by displaying radar and camera images on a laptop or touchscreen device. Designed for ease of use, CxEye™ geo-references radar tracks on a selection of mapping tools and combines tracking and track fusion from multiple sensors in a single touchscreen display with fast ‘slew to cue’ functionality. Situational awareness is built up using a ‘detect, recognise, identify and classify’ methodology.

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