FPGA-based machine vision implementation for Lab-on-Chip flow detection

Author

Sotiropoulou, Calliope-Louisa ; Voudouris, Liberis ; Gentsos, Christos ; Nikolaidis, Spyridon ; Vassiliadis, Nikolaos ; Demiris, Athanasios ; Blionas, Spyridon

Author_Institution

Dept. of Phys., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece

fYear

2012

fDate

20-23 May 2012

Firstpage

2047

Lastpage

2050

Abstract

This paper presents an FPGA-based machine vision implementation for flow detection on Lab-on-Chip (LoC) experiments. The proposed machine vision system is designed to provide real-time information to the LoC user about the state of the flows (flow coordinates and points of interest) as well as input to the LoC controller. It is uniquely designed to compensate noise in the input video originating from non ideal lighting conditions or LoC movement. This machine vision implementation achieves real time response for input videos of 1Mpixel resolution and frame-rates exceeding 60fps for microfluidic flows with a maximum speed of 20mm/sec.

Keywords

computer vision; computerised instrumentation; field programmable gate arrays; flow sensors; lab-on-a-chip; microfluidics; microsensors; FPGA-based machine vision implementation; LoC controller; LoC flow detection; compensate noise design; flow coordination; lab-on-chip flow detection; microfluidic flow; nonideal lighting condition; picture size 1 Mpixel; points of interest; velocity 20 mm/s; Field programmable gate arrays; Image edge detection; Machine vision; Microfluidics; Noise; Real time systems; Streaming media;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems (ISCAS), 2012 IEEE International Symposium on

Conference_Location

Seoul

ISSN

0271-4302

Print_ISBN

978-1-4673-0218-0

Type

conf

DOI

10.1109/ISCAS.2012.6271683

Filename

6271683