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+41-41-367-5151). getAbstract is an Internet-based knowledge rating service and publisher of book abstracts. getAbstract maintains complete editorial responsibility for all parts of this abstract. The copyrights of authors and publishers are acknowledged. All rights reserved. No part of this abstract may be reproduced or transmitted in any form or by any means, electronic, photocopying or otherwise, without prior written permission of getAbstract Ltd (Switzerland). • Simple approaches to business modeling encourage strategic thinking and holistic design. • The "Business Model Canvas" is a flexible template for conceiving, completing and assessing business models. • Business models should focus on nine interrelated parts, covering a company's "customers, offer, infrastructure and financial viability." • "Segment" your customer base and determine what kind of client "relationships" your company needs to develop. • Figure out your firm's "value proposition" and which "channels" you'll use to deliver your products and services. • A company's "key activities" determine its "revenue streams" and "cost structures." • Joining up in "key partnerships" with suppliers or even competitors can add to your organization's "key resources." • Your models must take into account outside forces such as the economy and competition. • Even the most successful business-model designs are vulnerable to obsolescence. • Proactive companies regularly innovate by reviewing their existing business models.

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Recently, the algorithms for the processing of the visual information have greatly evolved, providing efficient and effective solutions to cope with the variability and the complexity of real-world environments. These achievements yield to the development of Machine Vision systems that overcome the typical industrial applications, where the environments are controlled and the tasks are very specific, towards the use of innovative solutions to face with everyday needs of people. The Human-Centric Machine Vision can help to solve the problems raised by the needs of our society, e.g. security and safety, health care, medical imaging, and human machine interface. In such applications it is necessary to handle changing, unpredictable and complex situations, and to take care of the presence of humans.