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Palaniappan, Prasanna Kumar
Publications (1 of 1) Show all publications
Malik, A. W., Thörnberg, B. & Palaniappan, P. K. (2013). Comparison of Three Smart Camera Architectures for Real-time Machine Vision System. International Journal of Advanced Robotic Systems, 10, Art. no. 402
Open this publication in new window or tab >>Comparison of Three Smart Camera Architectures for Real-time Machine Vision System
2013 (English)In: International Journal of Advanced Robotic Systems, ISSN 1729-8806, E-ISSN 1729-8814, Vol. 10, p. Art. no. 402-Article in journal (Refereed) Published
Abstract [en]

This paper presents a machine vision system for real-time computation of distance and angle of a camera from a set of reference points located on a target board. Three different smart camera architectures were explored to compare performance parameters such as power consumption, frame speed and latency.  Architecture 1 consists of hardware machine vision modules modeled at Register Transfer (RT) level and a soft-core processor on a single FPGA chip. Architecture 2 is commercially available software based smart camera, Matrox Iris GT. Architecture 3 is a two-chip solution composed of hardware machine vision modules on FPGA and an external micro-controller. Results from a performance comparison show that Architecture 2 has higher latency and consumes much more power than Architecture 1 and 3. However, Architecture 2 benefits from an easy programming model. Smart camera system with FPGA and external microcontroller has lower latency and consumes less power as compared to single FPGA chip having hardware modules and soft-core processor.

Keywords
Machine Vision, Component Labeling, Smart Camera
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-19953 (URN)10.5772/57135 (DOI)000328072100001 ()2-s2.0-84890537511 (Scopus ID)STC (Local ID)STC (Archive number)STC (OAI)
Funder
Knowledge Foundation
Available from: 2013-09-30 Created: 2013-09-30 Last updated: 2017-12-06Bibliographically approved
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