Image sensor with parallel signal processing for motion detection

Volodymyr Borovytsky; Vitalii Antonenko

doi:10.1117/12.2555386

30 March 2020 Image sensor with parallel signal processing for motion detection

Proceedings Volume 11351, Unconventional Optical Imaging II; 113510G (2020) https://doi.org/10.1117/12.2555386
Event: SPIE Photonics Europe, 2020, Online Only

Abstract

The paper describes the design of an unconventional biologically inspired image sensor. It contains numerous optical channels similar to facets in a natural compound eye. Each channel has several photodetectors with pre-amplifiers and a microcontroller with a multi-channel analog-to-digital converter. The signals coming from the photodetectors in each channel are amplified, converted into a digital form and processed by a microcontroller. All channels independently perform parallel image processing and image analysis. All microcontrollers are attached to a microcontroller network. They send data through this network only if useful signals are registered. These microcontrollers can be reprogrammed to perform various image processing operations including gradient search, spatial filtration, temporal filtration, signal correlation, neural network simulation and others. This design completely differs from the traditional image sensor architecture, which includes a mega-pixel focal plane array with a sequential signal read-out and a multi-core digital signal processor. The proposed architecture can be considered as a big set of the equal channels - the “smart groups” of several pixels with read-out electronics and a digital microcontroller that can extract only the useful data and send it out. The working prototype of this image sensor has demonstrated ability to measure distribution of speed and direction of optical flow thought its field of view in the very short time. The advantages and possible applications of this sensor are also discussed.

Citation Download Citation

Volodymyr Borovytsky and Vitalii Antonenko "Image sensor with parallel signal processing for motion detection", Proc. SPIE 11351, Unconventional Optical Imaging II, 113510G (30 March 2020); https://doi.org/10.1117/12.2555386

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
11 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image sensors

Signal processing

Image processing

Optical flow

Motion detection

Bio-inspired computing

Computer vision technology

Show All Keywords

Keywords/Phrases

Search In:

Publication Years