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Real-time portable image-processing for enhanced surveillance imagery offered by RFEL

NEWPORT, England, 24 April 2013. RFEL Ltd. in Newport, England, is introducing the HALO low-power real-time video processing system for image-based surveillance applications in counter-terrorism and defense and security.

HALO provides adaptive contrast enhancement to combat poor imagery in challenging lighting conditions. HALO delivers high quality, high frame rate, HD video for human or machine interpretation challenging of visual environments.

HALO is not restricted by ITAR regulations, and is for fixed and mobile installations, including covert CCTV monitoring and surveillance, and unmanned aerial vehicles (UAVs), company officials say.

The video processing capabilities provided by HALO are intelligent fusion of multi-modal imagery, such as from a visible and IR sensor; mage stabilization, even when the platform is subject to severe vibration, and when imagery is sparse in features or of low contrast enhancement to maintain high performance operation in marginal lighting conditions -- visible and IR; noise reduction for optimizing operation in low ambient light and for ensuring robust image fusion; and digital zoom, lens distortion correction, image overlay and support for compression standards.

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HALO uses field programmable gate array (FPGA) for processing bandwidths at low power consumption from a power supply of between 4.7 to 27 volts DC. The HALO processor board comes in a rugged enclosure, and the entire system measures 105 by 105 by 80 millimeters and weighs less than 400 grams.

HALO offers a range of physical interfaces and supports all major video standards from analogue video (e.g. PAL/NTSC/S-Video) through to digital standards such as Channel Link standards and GigE, both with full 1080p. The required interfaces can be configured in the factory to tailor the system to bespoke applications.

At the heart of HALO is a proprietary image fusion engine forms a composite image based on the best features from two images on a per pixel basis.

For more information contact RFEL online at http://rfel.com.


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