FUZZY LOGIC INFUSED INTELLIGENT SCENT DISPENSER FOR CREATING MEMORABLE CUSTOMER EXPERIENCE OF LONG-TAIL CONNECTED VENUES

Dairy Analytics
All Rights Reserved to Hanumayamma Innovations and Technologies Inc.
Presented at the International Conference on Machine Learning and Cybernetics (ICMLC), 15-18 July 2018 | Chengdu, China
Fuzzy Logic infused Intelligent Scent Dispenser for creating memorable customer experience of Long-Tail
Connected Venues
Presented at Presented at the International Conference on Machine Learning and Cybernetics
(ICMLC), 15-18 July 2018 | Chengdu, China
Track: OTA (Business Intelligence)
Room: A
Presenter: Chandrasekar Vuppalapati
Authors: CHANDRASEKAR VUPPALAPATI, RAJASEKAR VUPPALAPATI, SHARAT KEDARI, ANITHA ILAPAKURTI, JAYA SHANKAR VUPPALAPATI, SANTOSH KEDARI

Dairy Analytics
FUZZY LOGIC INFUSED INTELLIGENT SCENT DISPENSER FOR CREATING
MEMORABLE CUSTOMER EXPERIENCE OF LONG-TAIL CONNECTED
VENUES
December 25, 2016 2
Presented at the International Conference on Machine Learning and Cybernetics (ICMLC), 15-18 July 2018 |
Chengdu, China
CHANDRASEKAR VUPPALAPATI, RAJASEKAR VUPPALAPATI, SHARAT KEDARI, ANITHA ILAPAKURTI, JAYA SHANKAR VUPPALAPATI, SANTOSH KEDARI
Hanumayamma Innovations and Technologies, Inc.
Presenter: Chandrasekar Vuppalapati, Chief Technology Officer (CTO)

Dairy Analytics
AI – COW Necklace
Presenter: Chandrasekar Vuppalapati, Chief
Technology Officer (CTO), Hanumayamma
Innovations and Technologies, Inc.

Dairy Analytics
AI infused Fragrance Systems for creating memorable
customer experience and venue brand engagement
December 25, 2016 4
Presented at Intelligent Human Systems Integration: Integrating People and Intelligent Systems (iHSI 2018) on
January 9, 2018 – 8:30 – 10:30
Track: ITA (Intelligence, Technology and Automation)
Room: Al-Safa 2

Dairy Analytics
Connected Venues
Who Are We
Ø Venue Analytics is an analytics platform for Venues. Our technology enables Smart
Cities to apply data science for solving & optimizing Venue resources.
ØVenue Analytics works closely with Smart Buildings & Smart Cities frameworks.
ØVenue Analytics enables Customer experience at Venues.
ØVenue Analytics optimizes Venue resource utilization.
5Presented at the International Conference on Machine Learning and Cybernetics (ICMLC), 15-18 July 2018 | Chengdu, China

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Why Venue Analytics
ØIn today’s competitive business environment creating
memorable experiencesand emotional
connections with consumers is critical to winconsumer
spending and long term brand loyalty
6

Dairy Analytics
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Why Venue Analytics
7

Dairy Analytics
Connected Venues
8
Source: Constant Berkhout, Retail Marketing Strategy: Delivering Shopper Delight, Publisher: Kogan Page (November 28, 2015), ISBN-13: 978-0749476915

Dairy Analytics
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Traditional
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Traditional
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Why Venue Analytics
ØBrands want their customers to be in pleasingsubliminal
scentedenvironments because, as research has shown, even a few
micro particles of scent can do a lot of marketing’s heavy lifting,
from improving consumer perceptions of quality to increasing the
number of store visits
11

Dairy Analytics
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Why Venue Analytics
12

Dairy Analytics
Connected Venues
Why Venue Analytics
ØWith healthcare-associated infections (HAIs) in the
U.S. accounting for an estimated 1.7 million infections an
99,000 deaths annually, reducing and preventing these
infections is a top goal for healthcare facilities throughout the country.
13

Dairy Analytics
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Why Venue Analytics
ØNot only healthcare facilities, in other captive environments, for instance,
ships and cruises, provide environment that may increase
risk of infection
14

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Why Venue Analytics
ØThe influencing factor for infectionis the number
of people entering and exiting area. The high rates of infection
in captive areas are influenced by number of people
entering and exiting the place.
15

Dairy Analytics
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Why Venue Analytics
ØUse of disinfection, to control infectious agents in healthcare
settings, is one of its oldest and most cost
effectiveways to control airborne infection
16

Dairy Analytics
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Why Venue Analytics
Ø an innovative approach to prevent spread of airborne
diseasesthrough the application of Big Data Technologies and IoT
Sensing.
17

Dairy Analytics
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Why Venue Analytics
Ø Our goal is to cutting down the millions of
dollars spenton infectious diseases, intelligent
dispenser promises to keep hospitals smelling fresh soothing and
disinfecting.
18

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Traditional
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Dairy Analytics
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Long Tail Venues
Internet has changed the dynamics of the venue and hospitality market
place. Since the development of the internet, all the attributes of the
hospitality & venue industry has deeply and continuously evolved: usage of
connected networks, usage of consumer digital data & mining of consumer
preferences, exclusive recommendations gleaned from Web 2.0 & 3.0 data
sources, Internet Of Things (IoT), wearable data sources and new business
models reshape the industry. This process has even been sped up recently
by the emergence of disruptive innovations, from the evolutions of web &
mobile technologies to the Artificial Intelligence (AI) platforms.
20

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Long Tail Venues
Ø The long tail is used in this
paper as a multitude of a
small, independent venue
operators with limited digital
connected infrastructure and
deficient intelligent systems
can grasp and synthesize this
complexity.
23

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Traditional
24

Dairy Analytics
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Disruptive…
25

Dairy Analytics
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History
Ø Idea originated in February 2015
Ø Spoke to local and international dairy farmers [ USA, India, New Zealand] and test the idea of
Dairy Analytics to get feedback
Ø Traveled to cities in USA - Chicago, Gilroy and agriculture states in India - Punjab, Haryana, and
Telangana to show the sensor, screens and talk about Dairy Analytics with more Farmers
Ø Hired Engineers to start creating the Dairy Analytics Platform in April 2015
Ø Started first prototype of Dairy Internet of Things (IoT) Sensor in March 2015.
Ø Completed Development of the sensor and field tested in Gilroy, August 2016.
Ø Demoed the product in IEEE San Francisco, ADSA Chicago, and PDFA & Fatehgarh Sahib
Exposition, Punjab, India
Ø Exploring with prospective manufacturing vendors to scale up the unit production of the
Sensors – December 2016.
26

Dairy Analytics
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Traditional
27

Dairy Analytics
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Product
Ø IoT Sensor – built to withstand high
temperatures and Humidity conditions
Ø Water proof Casing & LED indicator for
Bluetooth Connectivity
Ø Edge Analytics performed to relay real-time
notifications
Ø Ship setting configuration ensures over two
years Battery life
Ø Real-time capture of: heat, humidity,
Ambient Temperature, Ambient Humidity
Ø Captures Motion Activity for analyzing
dispensing patterns
28

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Product
29
Real-Time
Monitoring
Sensors monitor Crowd in real
time to identify and track –
optimized dispensing.

Dairy Analytics
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Product
Ø Mobile App on both Android and iOS
Platforms
Ø Provides real-time captures of Sensor
data
Ø Accurately locates dispensing needs
Ø Delivers real-time actionable insights for
consumers & Users
Ø Comprehensive graphing: heat-map and
other details
30

Dairy Analytics
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Product
Ø SaaS based Data Analytics Platform
Dashboard
Ø Provides one central place to manage all
Venues
Ø Web UI Screens include: Environmental
Health Scores, Temperature Graphs &
Humidity Graphs
December 25, 2016 31

Dairy Analytics
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Product
Ø Advanced Analytics Provisioning
Ø Provides forecasting capabilities up to six
months: dispensing needs & event
management
Ø Provides Social Analytics Capabilities –
integration with Twitter Analytics
Ø Integrates with Other Venue systems
32

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Patents
Ø A method for transforming commercial
air fragrance dispenser into an
intelligent air fragrance dispenser
33

Dairy Analytics
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Engineering Architecture

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35
Architecture

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36
Long Tail Venues Architecture

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37
Architecture

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38
Architecture
Passive
Infra-red
Sensor

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39
Architecture

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40
Architecture

Dairy Analytics
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Fuzzy Logic (FL)
Ø Fuzzy Logic (FL) incorporates a simple rule based If X and Y Then Z approach to solving a control
problem than attempting to build a mathematical model. The FL model is an empirically based
relying on an operator's experience rather than their technical knowhow of the system. For
building intelligent dispenser model, we have modeled Venue scent diffusion system using
predefined rules governing the behavior of venue activity and developed activity indicator.
Hence, Fuzzy Logic is the most appropriate ML model
41
Activity Indicator (t) =
!
"#$
%
&'()*+ ,- .*,/0* 12 3ℎ* 5*2'* +
Δ 8ℎ92:* 12 &'()*+ ,- .*,/0* 12 3ℎ* 5*2'*
Δ3
+ max
"
>,31,2 ?*2@,+ 590'*
+
Δ >,31,2 ?*2@,+ Aℎ+*@ℎ,0B
Δ3
+ max
"
(&,1@* D*E*0) +
Δ &,1@* D*E*0 Aℎ+*@ℎ,0B
Δ3

Dairy Analytics
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42
Architecture
IF CMD_AI = N AND d(CMD_AI)/dt = N THEN OUTPUT =
NDISP
IF CMD_AI = Z AND d(CMD_AI)/dt = N THEN OUTPUT =
NDISP
IF CMD_AI = P AND d(CMD_AI)/dt = N THEN OUTPUT = DISP
IF CMD_AI = N AND d(CMD_AI)/dt = Z THEN OUTPUT =
NDISP
IF CMD_AI = Z AND d(CMD_AI)/dt = Z THEN OUTPUT = NC
IF CMD_AI = P AND d(CMD_AI)/dt = Z THEN OUTPUT = DISP
IF CMD_AI = N AND d(CMD_AI)/dt = P THEN OUTPUT = DISP
IF CMD_AI = Z AND d(CMD_AI)/dt = P THEN OUTPUT = DISP
IF CMD_AI = P AND d(CMD_AI)/dt = P THEN OUTPUT = DISP

Dairy Analytics
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Model
December 25, 2016 43
Sensor Data
Crowdedness to Temperature

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Model
44
Sensor Data

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Model Demo
45

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Edge Code – 256KB
46

Dairy Analytics
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• Small Footprint Edge
o BLE Chip
o Accelerometer
o Time Sensor
o Proto Terminal Block
o EEPROM
o Microcontroller
o Power Supply

Dairy Analytics
Connected Venues
Source:
http://cdn.iotwf.com/resources/71/Io
T_Reference_Model_White_Paper_Ju
ne_4_2014.pdf

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Thank You
49

Dairy Analytics
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Management of Hanumayamma Innovations and Technologies, Inc., for
providing IoT Sensors and Data...
Source:
Unlocking the potential of the internet of things - http://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/the-internet-of-things-the-value-of-digitizing-the-physical-world

FUZZY LOGIC INFUSED INTELLIGENT SCENT DISPENSER FOR CREATING MEMORABLE CUSTOMER EXPERIENCE OF LONG-TAIL CONNECTED VENUES

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