Low-Power, Real-Time Object-Recognition Processors for Mobile Vision Systems
Jinwook Oh, Gyeonghoon Kim, Injoon Hong, Jun-Young Park, Seungjin Lee, Joo-Young Kim, Jeong‐Ho Woo, Hoi‐Jun Yoo · IEEE Micro · 2012
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.