Document Type

Event

Start Date

16-7-2020 5:00 PM

End Date

16-7-2020 6:00 PM

Description

Since Amazon GO opened its' doors to employees in late 2016, businesses have been watching closely to see if a store without checkout can succeed in the current market.

While self-checkout stations have been in use since 1986, businesses are looking for ways to enhance the convenience of shoppers. From online ordering, contactless payments, and same day pickup, to drone delivery, leaving packages inside your home, and now checkout free stores.

In this presentation I explore the possibility of using YOLO and OpenCV to produce a checkout system based on object recognition which makes a system that is cheaper and more viable for small businesses.

While it may be possible for a large corporation to afford a setup similar to Amazon GO small businesses need a way to handle the growing needs of the market.

In the face of COVID-19 contactless payments have become necessary and businesses of all types have scrambled to find ways to continue business in these turbulent times. A checkout system without human contact which can be cheaply implemented would be helpful for businesses around the world as well as their customers.

By utilizing YOLOV3 and OpenCV and training using Google Colab, it is possible to create and maintain a database of products and customers for easy, contactless, checkout.

Comments

I will be available for a virtual Q&A session on July 16th, 2020 5:00 PM-6:00 PM

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Jul 16th, 5:00 PM Jul 16th, 6:00 PM

Service Industry Sentience- CS 4267

Since Amazon GO opened its' doors to employees in late 2016, businesses have been watching closely to see if a store without checkout can succeed in the current market.

While self-checkout stations have been in use since 1986, businesses are looking for ways to enhance the convenience of shoppers. From online ordering, contactless payments, and same day pickup, to drone delivery, leaving packages inside your home, and now checkout free stores.

In this presentation I explore the possibility of using YOLO and OpenCV to produce a checkout system based on object recognition which makes a system that is cheaper and more viable for small businesses.

While it may be possible for a large corporation to afford a setup similar to Amazon GO small businesses need a way to handle the growing needs of the market.

In the face of COVID-19 contactless payments have become necessary and businesses of all types have scrambled to find ways to continue business in these turbulent times. A checkout system without human contact which can be cheaply implemented would be helpful for businesses around the world as well as their customers.

By utilizing YOLOV3 and OpenCV and training using Google Colab, it is possible to create and maintain a database of products and customers for easy, contactless, checkout.