Microcomputer-based artificial vision support system for real-time image processing for camera-driven visual prostheses
- Creators
- Fink, Wolfgang
- You, Cindy X.
- Tarbell, Mark A.
Abstract
It is difficult to predict exactly what blind subjects with camera-driven visual prostheses (e.g., retinal implants) can perceive. Thus, it is prudent to offer them a wide variety of image processing filters and the capability to engage these filters repeatedly in any userdefined order to enhance their visual perception. To attain true portability, we employ a commercial off-the-shelf battery-powered general purpose Linux microprocessor platform to create the microcomputer-based artificial vision support system (µAVS^2) for real-time image processing. Truly standalone, µAVS^2 is smaller than a deck of playing cards, lightweight, fast, and equipped with USB, RS- 232 and Ethernet interfaces. Image processing filters on µAVS^2 operate in a user-defined linear sequential-loop fashion, resulting in vastly reduced memory and CPU requirements during execution. µAVS^2 imports raw video frames from a USB or IP camera, performs image processing, and issues the processed data over an outbound Internet TCP/IP or RS-232 connection to the visual prosthesis system. Hence, µAVS^2 affords users of current and future visual prostheses independent mobility and the capability to customize the visual perception generated. Additionally, µAVS^2 can easily be reconfigured for other prosthetic systems. Testing of µAVS^2 with actual retinal implant carriers is envisioned in the near future.
Additional Information
© 2010 Society of Photo-Optical Instrumentation Engineers. Paper 09245R received Jun. 11, 2009; revised manuscript received Oct. 26, 2009; accepted for publication Nov. 24, 2009; published online Jan. 25, 2010. The work described in this publication was carried out at the California Institute of Technology under support of the National Science Foundation grant EEC-0310723. Fink and Tarbell may have proprietary interest in the technology presented here as a provisional patent has been filed on behalf of Caltech. You has no proprietary interest.Attached Files
Published - Fink2010p7349J_Biomed_Opt.pdf
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Additional details
- Eprint ID
- 17888
- Resolver ID
- CaltechAUTHORS:20100407-115024422
- EEC-0310723
- NSF
- Created
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2010-04-08Created from EPrint's datestamp field
- Updated
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2021-11-08Created from EPrint's last_modified field