Quick data evaluation inspired by human vision

Dieter Meinert

doi:10.1117/12.2050391

22 May 2014 Quick data evaluation inspired by human vision

Dieter Meinert

Proceedings Volume 9119, Machine Intelligence and Bio-inspired Computation: Theory and Applications VIII; 91190M (2014) https://doi.org/10.1117/12.2050391
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

In environmental monitoring, small differences are expected in data allowing the discrimination of harmless from dangerous, e.g. discern passing trucks from an earth quake. For conventional data analysis it is a challenging problem to identify these signals in noisy data. Electronic data processing consumes extra time, or much energy when processed in parallel. This is not suitable for quick automatic decisions nor useful in nearly autonomous systems with very low energy budget. This paper presents methods inspired by human vision, applied to quickly determine the content of signals collected by a monitoring system. It is shown that the system is capable to distinguish different signals, using a simple filter-set.

Citation Download Citation

Dieter Meinert "Quick data evaluation inspired by human vision", Proc. SPIE 9119, Machine Intelligence and Bio-inspired Computation: Theory and Applications VIII, 91190M (22 May 2014); https://doi.org/10.1117/12.2050391

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