Title:	OPENMV: A PYTHON POWERED, EXTENSIBLE MACHINE VISION CAMERA
Author(s):	Ibrahim Abdelkader, Yasser El-Sonbaty and Mohamed El-Habrouk
ISBN:	978-989-8533-66-1
Editors:	Yingcai Xiao and Ajith P. Abraham
Year:	2017
Edition:	Single
Keywords:	WSNs, Embedded, Image Processing, Machine Vision, Smart Camera, Python
Type:	Full Paper
First Page:	71
Last Page:	78
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	Advances in semiconductor manufacturing processes and large scale integration keep pushing demanding applications further away from centralized processing, and closer to the edges of the network (i.e. Edge Computing). It has become possible to perform complex in-network image processing using low-power embedded smart cameras, enabling a multitude of new collaborative image processing applications. This paper introduces OpenMV, a new low-power smart camera that lends itself naturally to wireless sensor networks and machine vision applications. The uniqueness of this platform lies in running an embedded Python3 interpreter, allowing its peripherals and machine vision library to be scripted in Python. In addition, its hardware is extensible via modules that augment the platform with new capabilities, such as thermal imaging and networking modules.
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