Shop and Go: An innovative approach towards shopping using Deep Learning and Computer Vision

2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT)(2020)

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摘要
Today, technology plays a vital role in developing the nation and it is changing day-by-day to make people lives much simpler, without this change it is hard to imagine our life. Everyday new innovation is taking place, and one such innovation made by amazon is Amazon Go. Amazon Go is enhancement to shopping experience which employees' self-checkout technique. Amazon Go currently uses the technology such as sensor fusion and deep learning. It introduces a complete new kind of shopping style with just Walk-out technology. It is designed for those who do not like to stand in checkout queue. Customer needs to install an app that needs to be scanned at entry point. It then uses sophisticated technology to track the customer's purchase and add them to customer's cart. Customer can exit the store without physical checkout and the purchase amount will be deducted from their account directly. Our implementation focuses on building a shopping system to ease the users experience with respect to shopping. It further discusses the challenges faced during implementing this new technology and suggest some ways through which we can overcome it. These technologies have a vast application in various fields that will play important role in near future.
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关键词
Face recognition,Shop and Go,Sensor Fusion,Deep Learning,Convolution Neural Network
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