incights bro
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InCi hts Mobile Solution Pvt. Ltd.
Corporate Presentation
Mobile Apps Based on Natural Language
Processing.
incubated at:As
wirelessapps
arebecoming
more
smarterandsophisticated
,WeBelieve
EveryAppwill
requireauthentication
UsingVoice,W
eProvideUbi
quitous
Authentication
toMobileAp
ps
Chief Mentor:Mr. Anirudh Prabahakaran
( CEO, 3i Infotech.Member IAN)
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The Enabling Team- Multiyear Experience with Access tobest Practices
Class of 2010Best Business Plan Finalist Kit Sponsor For
Mobile Broadband:
Igniting the Service
Revolution
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The person, who has my office id card, can...
The person, who has my credit cards details can...
The person who knows my password, can...
The person, who steals my passport, can...
The person, who is able to forge my signature, can...
The Person, who has access to my mobile, can...
The need forAuthentication, Privacy, and Securityof Mobile Application isupmost, but the Challenge is access and integration to last mile deviceconnectivity and high cost of Authentication.
The Challen es - Authentication
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It becomes obsolete to beware passwords safely or to remember toall of them
Abuse of stolen id cards and passwords will be reduced enormously
Abuse of stolen id cards and passports will be reduced enormously
Taking over foreign identities will be impossible
Building access right to people without the right of admittance will beprevented
Access to devices/computers will be not possible for persons withoutthe right of admittance.
Unnecessary cost of monitoring and managing last mile devices willbe drastically reduced
The Ubi uitous Authentication- Voice
And the biggest advantage is ability to get authenticate from anywhere,anytime
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People do not trust Unknown Voice, though very fewknow beyond Voice.
People are ready to pay only for personalized anduseful apps.
Voice can enable next generation mobile wallets likeVirtual Credit Cards and other mCommerce Apps
Both Rural and Urban markets provides for newinnovative services and method of Distribution, since
telecommunication devices are most pervasivechannel to reach to the people
But ....
Anexponen(al demandforuniqueservices can
be created, so that service availability will
becomeanewchallengetobeaddressedTuesday 22 November 11
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Revenue According to Biometrics Technology (USSD Mn)
The Economics of Voice Biometrics
0"
20000"
40000"
60000"
Finger"Iris"
Face"Voice"
Cost of Last Mile Devices (INR)
HighVery HighLowHighSystem Cost
PossibleNoYesNoLiveness Aware
10%0.001%0.75%0.1%Nominal False RejectRate
4%6%0.75%2.5%Nominal False AcceptRate
~0%7%2%4%Failure to Enroll
4.1%4.1-4.6%0.1 - 0.86%23.3%Equal Error Rate
PassiveActiveActiveActiveMethod
PhysicalPhysicalBehavioralPhysicalType
FaceIrisVoiceFinger
HighVery HighLowHigh
System Cost
PossibleNoYesNoLiveness Aware
10%0.001%0.75%0.1%Nominal False RejectRate
4%6%0.75%2.5%Nominal False AcceptRate
~0%7%2%4%Failure to Enroll
4.1%4.1-4.6%0.1 - 0.86%23.3%Equal Error Rate
PassiveActiveActiveActiveMethod
PhysicalPhysicalBehavioralPhysicalType
FaceIrisVoiceFinger
Sources:
Opus Research: Choosingthe Right Biometric
University of Canberra
European Commission JointResearch Centre, AnEfficient One-DimensionalFractal Analysis for IrisRecognition
FVC2004: Third FingerprintVerification Competition
Preliminary Report onDevelopment andEvaluation of Multi-Biometric Fusion using theNIST BSSR1 517-SubjectDataset
0
0
0
0
0
0
0
2005 2006 2007 2008 2009 2010
AFIS
Multimodal
SignatureVoice
Iris Recognition
Middleware
Hand Geometry
Facial Recognition
Fingerprint
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The DNA of InCi hts
Convert(Voice((
Print(
To(CLASS(2((
SMS((
Voice(Biometric((+(Voice(Print((
(Server(Applica9on(
Voice(Print(
Please(select(
Language(
1. English(2. Hindi(3. Telugu((
Ok(((((((((((((Back(
Please(select(
Service(
1. Top(Fups(2. Register((
(Ok((((((((((((((Back(
Voice(Prompt(
Please(PROVIDE((
Details(1. Name((2. Village(Name(3. App((name((4. District(Name(5. State(Name(
Calling(
54321(
Registering(
Please(Wait(
..((
Sending(
Class(2(SMS(
Voice(Prompt(Please(speak(
Your(PASSWORD(
(
Voice(Prompt((
You(have(been(Registered((successfully(
(
Pl.(remember(Your(password(
((
P
B(
X(N(
U(
M(
Storage(
Accoun9ng(
Content(Applica9ons(
Iden9ty( Devices(
Applica'on*Infrastructure*
Write(
Voice(Print(
To(SIM(with(
Class(2(SMS(..(
(
Incights(Voice((
Plaorm(
Voice Signature
* Patentable With InCights
MultimediaApp
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The DNA of InCi hts
Convert(Voice((
Print(
To(CLASS(2((
SMS((
Voice(Biometric((+(Voice(Print((
(Server(Applica9on(
Voice(Print(
Please(select(
Language(
1. English(2. Hindi(3. Telugu((
Ok(((((((((((((Back(
Please(select(
Service(
1. Top(Fups(2. Register((
(Ok((((((((((((((Back(
Voice(Prompt(
Please(PROVIDE((
Details(1. Name((2. Village(Name(3. App((name((4. District(Name(5. State(Name(
Calling(
54321(
Registering(
Please(Wait(
..((
Sending(
Class(2(SMS(
Voice(Prompt(Please(speak(
Your(PASSWORD(
(
Voice(Prompt((
You(have(been(
Registered((successfully(
(
Pl.(remember(Your(password(
((
P
B(
X(N(
U(
M(
Storage(
Accoun9ng(
Content(Applica9ons(
Iden9ty( Devices(
Applica'on*Infrastructure*
Write(
Voice(Print(
To(SIM(with(
Class(2(SMS(..(
(
Incights(Voice((
Plaorm(
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The Future
Voice Signature
Every Users needs Application and Connectivity to Access Services, This Transaction is
based on certain Principle and Process which can be interpreted by Processing NaturalLanguage Interaction and Enabling Personalization through Multimedia Widgets
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InCi hts Mobile Solution Pvt. Ltd.Business Cases
Dynamic App Generation Based on Natural
Language Processing, Encrypted by
Voice Print
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Asset Tracking(By$the$Right$
Person)$
$(At$the$Right$Place)$
(Through$
the$Right$
Medium)$
(Over$the$Right$
Channel)$
Map$$
Human$Iden@ty$$
with$$
Physical$Assets$$
Using$$
Interac@ve$and$Engaging$
Mul@media$Applica@on$$$
GSM$TechnologiesF$
Cheapest$and$Most$Pervasive$
Communica@on$Channel$$
MICE$
TRANSACTION$
PLATORM$$
Business'Process''
Ontology'
Transaction !
11$
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Fraud- Bankin and Financial Services
* Annual RBI Report 2010: Based on Cases to RBI Ombudsman
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Priority Banking, Credit Card transactions, Healthcare
High-net-worth customers (Comprising of 34% of bank revenue: IBA) areamong a financial institutions most discriminating users of value-added
services. They demand personal attention, privacy, convenience andabsolute security. Today most of the banks offer them the following services:
tailoring services to individual client requirements anticipation of client needs a long-term relationship orientation
personal Relationship manager discretion investment performance.
But while customers call their representatives, they face the followingirritants:
Need to provide their personal information again and Again, the processtakes around 4-5Minutes.
Generally the personal banker does not have all the required informationat his/her disposal.
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Our Solution
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InsuranceEvery consumer pay 1.5-2% extra
Premium on account of Fraud accounting
for more than 8%-KPMG Fraud Survey.
Most of the Fraud Happen on two Counts:Delay in reporting of Policy and
dominance of Usage of Cash
Each Agent to be given Virtual Credit Card with X amount of Limit.During transaction, both agent and Customer to be authenticated using voice print.The Agent Collects the money from Customer and His credit Limit Fluctuates
accordingly.Policy Claims -> Biometric based authentication during underwriting , in case theclaimant is not in a position authorized stand by person needs to speak which is also
recorded during the registration.
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Financial Inclusion
MICE%Tx%
Pla+orm%
Village%4%
Village%3%
Panchayat%
Office%
Village%5%
Village%6%
Village%7%
Village%8%
Village%2%
Village%1%
District%Level%
Office%
State%Level%
Office%
Bank%
L e v e ra g e% B u i l t%infrastructure% to%
reach% out% to% many%
people%
%Implementaon%of%MICE%Pla+orm%%
%Buiild%the%ecosystem%to%enable%field%Operaons%
RVR%%
Bank%
Registers%as%an%BCO%%with%the%Bank%
Opens%a%%Float%&%savings%Account%for%
Agent%with%%balance.%
User%gets%registered%
through%the%
RVR%on%the%
MICE%
pla+orm%
RVR%
Agent%conducts%
transacons%
&%collects%
money%for%
each%tx%based%on%guidelines%
and%kit%
Transacons%get%logged%ON%
pla+orm%
DWH%Server%
Collect%the%data%and%sweep%to%Incights%DWH%
Data%%Analysis%%to%
calculate%incenves%
Agents%commission%is%calculated%&%credited%to%
Agents%A/c,%LOYALTY%
points%are%added%
Bank%Server%
Syncs%the%%pla+orm%
Data%Mining%for%%
%Customer%Profiling%%%Agents%Profiling%%Service%Profiling%%%What%sells,%where%and%why%%
%Data%Mining%%Treasure%Hunt%
Customers: SubK Basix transaction Pvt. Ltd.,Transerv ( Lunching virtual Credit Cards using
VS (Voice Signature)
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Financial Inclusion- Com etitors
Requirements!
Mobile/POS/+/smart/card/! Mobile/phone/+/fingerprint/
reader!
Mobile/POS/with/smart/
card!
Solu
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Thank You.Looking forward to Your Feedback