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| Night vision surveillance without associated lighting costs and pollution |
Infrared technology specialist Irisys is launching its IRI 5300 thermal image security CCTV capability into the European security market at Security 2010, Essen, Hall 5/219. Leveraging the decreasing cost of thermal imaging devices, the company says its aim is to expand the end-user base for this highly effective and environmentally-friendly surveillance capability beyond traditional ‘high-end defence' applications. IRI 5300 is priced to put a robust, quality thermal image capability in the hands of many more CCTV OEMs and installer/integrators.
The IRI 5300 camera module's 384x288 pixel sensor is claimed as offering one of the highest resolutions of mid-range thermal security cameras. Digital zoom, pan and tilt are integrated and different screw-fit lens options provide alternative field-of-view/range requirements. To provide OEMs with an easy-to-integrate ‘thermal core' a compact enclosure is available, plus a range of interfaces, including standard composite video. Useable either in default mode or with external control, the unit allows OEMs flexibility in control of the camera's features.
In addition to extending the range of security applications for thermal image CCTV in military, police and other government agencies, Irisys has identified IRI 5300 application opportunities in commercially sensitive building environments (including research, data and cash centres) and transport/terminal operations.
The infrared heat detection principle behind thermal image CCTV surveillance eliminates the investment and consumable costs, complexity and polluting effects of support lighting associated with installations required to operate at night. Additionally, detection ranges up to 1km are possible - far beyond the range of lamps, and ideal for perimeters. The contrast differential between body heat and that of other objects when viewing in infrared - night or day - means that people stand-out more noticeably when compared with established CCTV techniques. Night and day video content analysis also becomes more reliable. Visit their website.
