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Low-Power, Real-Time Object-Recognition Processors for Mobile Vision Systems

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8 Author(s)
Jinwook Oh ; Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea ; Gyeonghoon Kim ; Injoon Hong ; Junyoung Park
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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.

Published in:

Micro, IEEE  (Volume:32 ,  Issue: 6 )