LOW-POWER, REAL-TIME OBJECT-RECOGNITION PROCESSORS FOR MOBILE VISION SYSTEMS

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A new low-power object-recognition processor achieves real-time robust recognition, satisfying modern mobile vision systems' requirements. The authors introduce an attention-based object-recognition algorithm for energy efficiency, a heterogeneous multicore architecture for data- and thread-level parallelism, and a network on a chip for high on-chip bandwidth. The fabricated chip achieves 30 frames/second throughput and an average 320 MW power consumption on test 720P video sequences, yielding 640 GOPS/W and 10.5 NJ/PIXEL energy efficiency.
Publisher
IEEE COMPUTER SOC
Issue Date
2012-11
Language
English
Article Type
Article
Citation

IEEE MICRO, v.32, no.6, pp.38 - 50

ISSN
0272-1732
DOI
10.1109/MM.2012.90
URI
http://hdl.handle.net/10203/102330
Appears in Collection
EE-Journal Papers(저널논문)
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