HGH unveils new GAIA™ Artificial Intelligence technology
The newest GAIA™ Artificial Intelligence processing features unique capabilities in the market in terms of automatic classification of objects within panoramic thermal images. The AI module makes use of three patent-pending neuronal networks designed to recognize patterns for maritime, land and air surveillance applications. The automatic classification is operational at long-distance, on a very wide range of land and sea targets, from just a few pixels to very large objects. The unique combination of GAIA™ Artificial Intelligence with Cyclope video analytics provides advanced and early detection, tracking and classification of any kind of threats. Whilst the use of Artificial Intelligence drastically lowers false alarm rate for wide area surveillance applications, it also simplifies the daily operations for the user.
Additionally, GAIA™ Artificial Intelligence is boosted by the I2QTM image processing library allowing to achieve superior day/night image quality whatever the environmental conditions. I2QTM image processing includes multiple algorithms dedicated to operator experience improvement such as sun glint reduction, smart denoising, local contrast image enhancement and more.
“The integration of Artificial Intelligence into long-range surveillance systems is a key innovation for the defense and security sectors. It enables automatic recognition and classification of the data acquired by security systems with unprecedented performance and image quality. Applied to video analysis, it equips security teams with increased situational awareness allowing greater responsiveness and effectiveness in their decision.” says Edouard Campana, Wide Area Surveillance Business Unit Manager at HGH.
To provide automatic classification of naval or land targets, the CYCLOPE software now uses A.I. to recognize the shapes of objects. Among the promises evoked by the company, such a technology makes it possible to reduce the false alarm rate, to react more quickly to a threat, to improve human decision efficiency while reducing the operational means (security crews on site for example).
