Video surveillance at an industrial environment using an address event vision sensor: Comparative between two different video sensor based on a bioinspired retina

Abstract

Nowadays we live in very industrialization world that turns worried about surveillance and with lots of occupational hazards. The aim of this paper is to supply a surveillance video system to use at ultra fast industrial environments. We present an exhaustive timing analysis and comparative between two different Address Event Representation (AER) retinas, one with 64×64 pixel and the other one with 128×128 pixel in order to know the limits of them. Both are spike based image sensors that mimic the human retina and designed and manufactured by Delbruck's lab. Two different scenarios are presented in order to achieve the maximum frequency of light changes for a pixel sensor and the maximum frequency of requested pixel addresses on the AER output. Results obtained are 100 Hz and 1.88 MHz at each case for the 64×64 retina and peaks of 1.3 KHz and 8.33 MHz for the 128×128 retina. We have tested the upper spin limit of an ultra fast industrial machine and found it to be approximately 6000 rpm for the first retina and no limit achieve at top rpm for the second retina. It has been tested that in cases with high light contrast no AER data is lost.