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Ultra‐low‐power image signal processor for smart camera applications
Author(s) -
Liu Z.,
Park T.,
Park H.S.,
Kim N.S.
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2015.1924
Subject(s) - smart camera , computer science , artificial intelligence , computer vision , energy consumption , image sensor , object detection , camera interface , image quality , energy (signal processing) , real time computing , image processing , image (mathematics) , pattern recognition (psychology) , digital image processing , engineering , electrical engineering , statistics , mathematics
Among thriving cyber physical systems, smart camera applications require to run both image sensors and image signal processors (ISPs) to capture images whenever necessary. Owing to the nature of such applications (i.e. constantly capturing images and analysing the images to detect any event of interest), the image sensor and ISP become the two most energy consuming components in smart camera applications. It is started with the intuition that the perceptive quality of images is not strongly correlated with the accuracy of object detection algorithms and a technique that requires only minor modifications to the baseline ISP is proposed but notably reduces the ISP energy consumption in object detection mode for smart camera applications. It is demonstrated that the ISP reduces energy consumption by 33% compared with the baseline ISP energy while degrading face detection accuracy by only 3%.

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