The document discusses Amazon Go, a convenience retail concept by Amazon that eliminates checkout lines by combining various technologies such as camera sensors and deep learning algorithms to automate the shopping experience. Users enter the store by scanning an app, can pick items without individual scans, and leave without checking out, while the system tracks their purchases in real time. The document also outlines the pros and cons of Amazon Go, including its convenience and time-saving benefits, as well as challenges such as privacy concerns and potential threats to employment.

1. The Most Advanced
Shopping
Technology
By Sheran Chanidu AS-B/Com

2. Contents Introduction
What is Amazon GO?
Technological aspect
How does Amazon GO work?
Pros and Cons of Amazon Go
The topics that are being discussed in the
presentation are,
Devices used in Amazon GO
Limitations and risk of Amazon GO

3. Introduction
Consumer shopping habits have changed dramatically as a result of technological
advancements, both in-store and online. Such great examples could be the use of QR
codes, Buy-online-pick-up-in-store, RFID technology usage to track inventory level, visual
search and online shopping has been better discovered to help both consumers and
suppliers. However this shopping technology makes use of both offline, online technologies
to create the most advanced shopping technology “Amazon GO”

4. What is Amazon GO
Amazon Go is a convenience retail business owned by Amazon that operates in the
United States and the United Kingdom.
Amazon.com, Inc. is a company that specializes in e-commerce, cloud computing,
digital streaming, and AI. It is one of the biggest information and technology businesses
in the United States.

5. Amazon Go is created using several technologies to create a whole new shopping
experience to the consumers.
Amazon Go is a new kind of store concept with no checkout required. Their aim is to
fully automate the shopping experience, so that consumers never have to wait in line
and just walk out experience
Simply, These stores let you to go in, pick up your items, and leave without having to
contact with store employees or cashiers.

7. How does Amazon Go work?
From consumer perspective the way of how Amazon Go works
is very easy and convenient for them.
Users will need an Amazon account, a compatible smartphone,
and the free app to get started. They scan the app to pass
through a turnstile as they enter the store. They can then put
their phones away and go shopping, picking up things and
placing them in baskets or bags without having to scan each one
individually. When they're done, they can simply leave.
They don't have to check out and can swap out products
whenever they want.

8. At the bottom of the program is a navigation bar with tabs for four screens: Key, Receipts,
About, and More. The Key screen appears to display the QR code that the store's turnstiles
read to admit you, whereas the Receipt screen displays what they purchased after they've
departed.

9. 1) Open the Amazon app
2) Scan to enter store
3) Shop whatever you like
3)Receipt and pay through app

10. Devices used in Amazon GO
Cameras:
RGB cameras: used for basic movement and object identification in the shop.
Depth-sensing cameras: recognizing different persons in the market and goods being
picked up or held quickly and accurately

11. Sensors:
Weight sensors: placed on the shelves to keep track of the exact weight of each item
Pressure sensors: used to detect picking up items or whether items removed from
shelves
Infrared sensors: sense shopping surroundings and characteristics.
Motion sensors: detect and record movement of shoppers.
Additionally RFID(Radio Frequency Identification) is used to and linked in line with
the users Amazon account.

14. Amazon Go makes use of different input devices and technologies to make this
advanced shopping experience.
It uses almost the same technologies as self-driving cars.
Amazon has used several technologies for this to work as follows;
Technological aspect
 Computer Vision
 Sensor Fusion
 Deep Learning Algorithms

15. It is the computer's ability to identify and understand images or videos integrating geometry
and signal processing.
Image acquisition, image processing, motion, and analysis are all used in computer vision.
It can also detect and recognize objects, as well as recognize faces. Face recognition can
also be done by capturing the dimensions and geometry of the face. This technology is
used for face recognition of the shoppers who are shopping.
Computer Vision

16. Sensor fusion is a type of software that combines data from several sensors to improve
system performance or produce more accurate results.
The control board is consists of deep learning algorithms to processing of information.
The received data is then analyzed thereafter and output is given through the control
board
Sensor fusion is used in Amazon Go in order to use the motion,
infrared and other sensors to be properly used and detect
movements of the users.
Sensor Fusion

17. It is a layered technology.
Deep learning is a type of machine learning that uses a large amount of data to train the
system.
As a result, the computer will be able to recognize and make decisions on its own the next
time similar data is encountered.
Internal conditions are used to change the given input to the following stage. It is mainly
utilized in computer vision.
Deep Learning Algorithm

18. Pros and Cons
of Amazon Go

19. Pros
• Time Saver for shoppers
• No waiting in lines
• Shoplifting is impossible
• No physical checkouts
• No Cashiers
• Limited human contact which is
beneficial during pandemic period
• Easier and convenient
Cons
• Higher financial cost involved in
implementing this technology.
• Customer should have Amazon app
installed on mobile
• Internet connection is required
• Limiting customers who doesn’t have
proper knowledge

20. Although Amazon Go is advanced it seems to be having some serious limitations and
risks to both users and Amazon
Limitations and risks of Amazon GO
INCREASED COSTS
OFIMPLEMENTATION
Implementing this technology and
introducing it wide scale is hard
since it has a higher cost involved.
RGB cameras, depth sensing
cameras and other sensing devices
used in this technology is very
expensive and therefore limiting the
spread and usage of this technology
PRIVACY
CONCERNS
A question about privacy arrives as
there is a huge amount of data
collected through the use of this
technology. Facial recognition data,
personal data, shopping details
maybe collected through the app and
cameras used and there is a risk of
this data being used for irrational
uses and sold to other firms to make
profits without user’s knowledge.
UNEMPLOYMENT
Since a specialty of this
technology is being contactless
and less physical interaction, if
this technology spreads, it will
likely to cause unemployment of
jobs such as cashiers and
supermarket related vacancies.

21. “The advance of technology
is based on making it fit in so
that you don't really even notice
it, so it's part of everyday life."
Bill Gates

22. THANK YOU