This is a presentation I delivered to World Bank employees on Jun 6 2018. I will talk about 9 key sectors - including healthcare and banking that will be disrupted by the upcoming robotics revolution.

1. MITRA ROBOT
BALAJI@MITRAROBOT.COM

2. On Mitra

3. HOW ARE THE ROBOTS GOING TO
CHANGE OUR WORLD?

4. Will robots become a reality?

5. Key applications will depend
on real world knowledge and
understanding how it can be
ported to robots.

6. 1. Banks becomes a
financial mall.

7. Hi there.
Welcome!
Face detection
Demographic
identification
Mitra. Need a new
business loan.
Conversation engine
Speech recognition
Sure. Let me take
your id.
After scanning the docs with Mitra…
I got all your docs
scanned. Thanks!
Let me walk you
to my manager…
Autonomous
navigation….

8. 2. Offices get automation.

10. Problem Statement
Office Reception areas are highly
inefficient in space and time.
It takes a lot of time to check a
guest in, the desk takes up a lot of
space and there is very little
analytics done with the treasure
trove of people information
collected.
Provides a poor user experience
and inconsistent with the huge
expense made in ambience.
Key tools
Facial recognition
Guest database on-prem
Natural Language Processing
Security patrolling
Multilingual guest welcoming
Key industries
IT campuses
Corporate offices
Banks
Government offices
Workflow
Face
recognition
Host alert
Host approval
Conversation
Print pass
Guest engagement system
SMS
Host sends their guest a
unique link
MGES records face from cam
and learns.
On guest arrival host gets
alert.
If host approves pass is
printed.

11. Conferencing
and
communication
Food delivery to
your desk
Consult on key
HR related
issues
Guest
Management
Waste collection
and
management
Security
patrolling

12. 3. Theaters and Malls

13. Problem Statement
Shoppers often need guidance to
purchase complex products.
Retailers lack critical data about the
customers.
Interactions with sales folks are
non-contextual and dumb.
Customer engagement is often poor
and leaves out sales on the table.
Key tools
Facial recognition
Recommendation engine
Natural Language Processing
Security patrolling
Multilingual guest welcoming
Key industries
General purpose retailers.
Appliance retailers.
Speciality retailers.
Malls.
Workflow
Face
recognition
Product info
Recommendations
Conversations
Analytics
Smart Malls
ERP
Shopper face is recognised
and if the shopper is new
given the loyalty form.
Conversations on product
happens
Mitra take the shopper to the
desired aisle.

14. MITRA, WHAT MOVIES
DO YOU RECOMMEND?
We have a new
Akshay hit that
you might like

15. Vijay bhai. Welcome to
Japan. We have a new
caramel flavoured popcorn.
You might like to try it.

16. Ms Rachel, you might
like our new
vegetarian delight!
Sure! Sounds
amazing!
RECOMMENDATIONS BASED ON MACHINE LEARNING

17. Miss, this brown coat might fit
your better. Do you want to see
how this would look with that
black pants?

18. 4. Events go immersive.

21. 5. Hospitals.

22. Problem Statement
Hospitals are crowded and lack
human touch - staff tend to be rude.
No one has time to explain things.
Routine data collection from
patients is done by doctors or
trained professionals - expensive.
Top hospitals receive patients
speaking a variety of languages.
Real time disease analytics doesn’t
happen.
Key tools
Facial recognition
Guest database on-prem
Natural Language Processing
Security patrolling
Multilingual guest welcoming
Key industries
Multi-speciality hospitals.
Clinics.
Corporate health centers.
Health camps.
Workflow
Face
recognition
Patient
registration
Symptoms
Questions
about the visit
Analytics
Smart Hospitals
ERP
Patient face is recognised and
if the patient is new given the
registration form.
Patient is offered water.
Questions on their visit is
asked and recorded.

23. 6. Smart cities and
governance.

24. Problem Statement
Security in a high trafficked areas
are slow to react to trouble - from
terrorism to sexual abuse to
thefts. CCTV cameras are passive.
Citizens in smart cities need to
access multiple government
services easily in malls and other
public areas.
Need to provide information
assistance to tourists, elderly
visitors.
Key tools
Security patrolling
Facial recognition
Criminal/offender database
Natural Language Processing
Citizen data services/assistance
in multiple languages.
Key industries
Smart cities
Workflow
Smart Cities Project
1. Mitra moves around
autonomously patrolling.
2. Face recognition to identify
serial offenders and
suspicious persons.
3. Citizens can ask for
questions - answers in
voice, video and images.

25. Automated patrolling

26. Hello Mr. Hanks.
Good to see you at
KIA
Mitra! Thank you. Here
is my Aadhar card.
Thank you.
CUSTOMER CHECKIN WITH FACE AND QR CODE

27. Security guard at
night
Conversational customer
assistant in the day

28. 7. Smart Schools.

30. 8. Disaster rescue.

32. 9. Elderly care.

34. Getting medical
care
Cooking food Entertainment
Communication Security
Lifting and
bringing items

35. We cannot look at future from the
prism of today.
We cannot look at technology
merely from the prism of jobs.

36. Internet of Robotic Things
Cloud solutions - data
collection and management
with AI tools delivered through
robots.