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PRESS RELEASE: Fotonation Fasttrack Hardware Accelerated Face Tracking Technology Deployed in Next Generation Fujitsu Milbeauttm Chips
Hardware Integration of Face Tracking Enables Broader Adoption for Digital Camera & Camera Phones
BURLINGAME, Calif., Jan. 24 -- FotoNation (http://www.fotonation.com/), a world-leading embedded imaging solutions company for the digital photography industry, has announced that FastTrack, its face tracking hardware accelerated image processing technology, is being integrated into the next generation Milbeaut˙ chips of Fujitsu Limited. These chips are designed for digital cameras and camera phones to provide manufacturers with advanced image processing solutions, relieving them of the need to develop their own software.
FastTrack is an IP-CORE implementation of FotoNation's FaceTracker technology which identifies and tracks in real time more than ten human faces simultaneously. FastTrack enables automatic adjustment of focus, exposure and color balance for optimal image results. The FastTrack IP-CORE provides a tight integration of FotoNation's face tracking technology within the hardware imaging chipset to increase detection speeds and improve accuracy while reducing resource requirements from the main camera processor.
Currently widely implemented in digital cameras and camera phones, the next version of Fujitsu's Milbeaut chip will allow digital camera customers of Fujitsu to take advantage of FotoNation's high performance face tracking capabilities to optimize the camera's exposure, focus and color balance settings. Fujitsu's Milbeaut line of advanced image processing LSI chips combines functions necessary for image processing in digital cameras and camera phones, such as image compression and noise reduction, in a single chip.
FotoNation has achieved high industry acclaim for its FaceTracker Technology, including the 2007 DIMA Innovation Award.
A live demonstration of this latest technology is being shown at FotoNation's Suite at PMA.
(First posted on Thursday, January 24, 2008 at 13:47 EST)