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The Appliance Of Computer Vision Techniques

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Abstract
Nowadays retail video analytics has moved out ahead of the traditional domain of loss prevention and security by providing retailers understanding business intelligence for instance queue data and store traffic statistics. Such information allows on behalf of optimized store performance, enhanced customer experience, ultimately higher reduced operational costs and profitability. This paper gives an overview of various camera-based applications in retail. It also presents a number of the promising technical guidelines for survey in retail video analytics.

Introduction

The appliance of computer vision techniques in retail using more than a decade.1 in recent times, due to advancement in machine learning, computer vision, and data analysis, retail video analytics can offer retailers with much further insightful business intelligence. Therefore it promises much privileged business value, ahead of the traditional domain of authentication, security and loss prevention. Examples include queue data, analysis of store traffic, purchase decision making and shoppers’ behaviors, between others. The retail atmosphere, in addition to its own distinctive business and technical challenges, is also well thought-out a practical test bed for novel computer vision approaches. For these reasons, retail video analytics and it’s a variety of applications have become of enormous interest to both retailers as well as the computer vision society.

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