Analog CMOS processor for early vision processing with highly reduced power consumption

A new approach to an analog ultra-low power vision chip design is presented. The prototype chip performs low-level convolutional image processing algorithms in real time. The circuit is implemented in 0.35 µm CMOS technology, contains 64 × 64 SIMD matrix with embedded analogue processors APE (Analogue Processing Element). The photo-sensitive-matrix is of 2.2 µm × 2.2 µm size, giving the density of 877 processors per mm2. The matrix dissipates less than 0.4 mW (less than 0.1 µW per processor) of power under 3.3 V supply, and their image processing speed is up to 100 frames/s.

[1]  P. Dudek,et al.  Implementing the grayscale wave metric on a cellular array processor chip , 2008, 2008 11th International Workshop on Cellular Neural Networks and Their Applications.

[2]  Piotr Dudek,et al.  A general-purpose processor-per-pixel analog SIMD vision chip , 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

[3]  Nan-Jian Wu,et al.  A novel architecture of vision chip for fast traffic lane detection and FPGA implementation , 2009, 2009 IEEE 8th International Conference on ASIC.

[4]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[5]  Jacques-Olivier Klein,et al.  A DSP‐like analogue processing unit for smart image sensors , 2002, Int. J. Circuit Theory Appl..

[6]  Grzegorz Blakiewicz.  Analog multiplier for a low-power integrated image sensor , 2009, 2009 MIXDES-16th International Conference Mixed Design of Integrated Circuits & Systems.

[7]  M. Gottardi,et al.  A 100 $\mu$ W 128 $\times$ 64 Pixels Contrast-Based Asynchronous Binary Vision Sensor for Sensor Networks Applications , 2009, IEEE Journal of Solid-State Circuits.

[8]  Piotr Dudek,et al.  An 80×80 general-purpose digital vision chip in 0.18μm CMOS technology , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

[9]  Jang-Kyoo Shin,et al.  Light-adaptive vision system for remote surveillance using a smart vision chip , 2010, 2010 IEEE International Conference on Imaging Systems and Techniques.