Cognitive cameras: Assistive vision systems

Kevin M. Irick, Peter A. Zientara, John Morgan Sampson, Vijaykrishnan Narayanan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As a benefactor of the proliferation of large scale integration, traditionally simple and unintelligent devices such as cameras have been transformed into key components of rich and engaging smart environments. By integrating machine perception algorithms, these cognitive cameras have the ability to perceive and understand their environments. A principal barrier to realizing the potential of cognitive cameras has been the absence of sufficient computing power within the device. This is especially true in wearable devices which are limited by both compute capability and energy. Hardware customization and specialization present effective solutions to the power and performance bottlenecks that have limited ubiquitous adoption. This work details the architecture, design, and evaluation of a cognitive camera system that employs custom hardware to meet both power and performance constraints. Furthermore we illustrate its use as an assistance system for the visually impaired.

Original languageEnglish (US)
Title of host publication2015 International Conference on Compilers, Architecture and Synthesis for Embedded Systems, CASES 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages1
ISBN (Electronic)9781467383202
DOIs
StatePublished - Nov 10 2015
EventInternational Conference on Compilers, Architecture and Synthesis for Embedded Systems, CASES 2015 - Amsterdam, Netherlands
Duration: Oct 4 2015Oct 9 2015

Publication series

Name2015 International Conference on Compilers, Architecture and Synthesis for Embedded Systems, CASES 2015

Other

OtherInternational Conference on Compilers, Architecture and Synthesis for Embedded Systems, CASES 2015
CountryNetherlands
CityAmsterdam
Period10/4/1510/9/15

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Science Applications

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    Irick, K. M., Zientara, P. A., Sampson, J. M., & Narayanan, V. (2015). Cognitive cameras: Assistive vision systems. In 2015 International Conference on Compilers, Architecture and Synthesis for Embedded Systems, CASES 2015 [7324560] (2015 International Conference on Compilers, Architecture and Synthesis for Embedded Systems, CASES 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CASES.2015.7324560