Electrical & Computer Engineering, Department of


Date of this Version

Fall 12-6-2013


J. Schmitz. CMOS Smart Camera with Focal Plane Neighborhood-Parallel Image Processing. MS thesis, University of Nebraska-Lincoln, Lincoln, Nebraska, December 2013.


A THESIS Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfillment of Requirements For the Degree of Master of Science, Major: Electrical Engineering, Under the Supervision of Professors Sina Balkir and Michael Hoffman. Lincoln, Nebraska: December, 2013

Copyright (c) 2013 Joseph Schmitz


A neighbhorhood-based smart camera architecture is designed and implemented in a 0.13 μm CMOS technology. Each 8 × 8 region of pixels contains a small processor with local memory, which are tiled to form a full-resolution camera. Each processor operates in parallel, enabling high-speed image processing suitable for tracking and recognition tasks. The architecture features the programming flexibility of designs us- ing chip-level and row-level processors while preserving the scalability of pixel-parallel processing elements. The neighborhood processors are implemented physically be- tween the pixel photodiodes, creating multiple design challenges that are discussed in detail.

Advisors: Sina Balkir and Michael Hoffman