iData Sciences Product Overview

iData Sciences

Data Capture, Analytics & Optimization

Enabling customers to harvest & analyze data for actionable intelligence

Redefining Decision Intelligence

iData Sciences is an Information Technology Company

Providing Software Solutions to Customers

Accelerated through the use of Innovative Technology

in the area of Data Capture & Image Recognition

Head Quartered in NJ, USA

Offshore Delivery Center in Chennai, India

www.idatasciences.com 2

Company Overview

To help Customers Improve Process Efficiency through the use of

innovative Software Solutions

To help Customers Improve Productivity in the area of Data

Capture by

Reducing Average Handling Time

Reducing Average Cost of Handling and

Improving Accuracy of Capture

To be regarded amongst the most Innovative Providers of

Imaging & Recognition Technology to global enterprises


Vision

Data is Everywhere !!!Invoices, Bank & Financial Statements, Legal Documents,

Regulatory Filings, Bank Checks, Application Forms

Prescriptions, Medical Bills, Insurance Claims

Retail Coupons, Product Catalogues, Travel Vouchers

Structured; Unstructured; Textual; Non-Textual

Capturing & Analyzing this data

provide Organizations with Valuable Insights

leading to Actionable Intelligence


Context

Data Capture Processes

Limited automation specific only to textual data capture

Limited scalability due to high dependency on manual human labour

Time consuming with lower accuracy of data

Inability to extract data from large files

Increased total cost of ownership (TCO)

Data Recognition

Non-textual data capture is still nascent and is predominantly manual

Challenges to detect and recognize data from videos

Large and complex volume of data

Tagging of images\video is highly manual and labor intensive

Current Challenges


Typical Data Flow

SourcingFTP

EmailWeb Crawlers

Data Feeds

ExtractionText

Images

ProcessingNormalization

ValidationTagging

ConsumptionBusiness

ApplicationsAnalytics

Unlike OCR which capture only text from pre-defined zones, iData

widens the definition of data to capture both text and images,

independent of zones

Human like visual cognition in extraction of data

Self learning engine (expert system)

Can work on both structured & unstructured data, printed & hand

written

Making it a powerful alternative to existing OCR technology

Can work on static images and video

Analytics based on disruptive pattern based techniques (Content

Based Object Retrieval)

Highly scalable & performant

How Are We Different?



iData Technology Framework

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Data Capture Engine

Data Analytics

Recognition Expert System

Optimization Engine


Data Capture

• Exceptions Listing• Formatting Rules• Dependency Rule• Look Up from DB• Duplication Check• Reconciliation• Build Audit Trail

Export: XML, Excel, CSV, Text, Database

Porting:ERP: SAP, MSDynamicsDatabase: Oracle,MS SQL, My SQL

Self Learning: Builds Knowledge Base

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Images: Forms, Invoices, Documents, Other Images

Image Repository

Porting to Business Process

Extract Validate

Extract: Data, Objects & FeaturesSpecific Business Rules Defined at the Time

of Extraction

Extraction from Structured, and Un-Structured documents/forms

Typewritten, Printed, (*Multi-Lingual data) Image Objects

Capital Handwritten in boxes (non-cursive) data from Structured forms.

Editable Clean

Data

Digital Image Repository

Physical Document Scanned


Data Capture Samples

Actionable Intelligence to Enterprises

Predictive Analytics

Trend Analysis and Inflection Points

Risk Analysis

Real time & highly performant Analytics

Advance Technology in Image Analytics using disruptive pattern

based techniques


Data Analytics

Facial Recognition

Object Recognition

Logo / Brand Recognition

Static & Automated Tagging

Voice based identification and elastic search



One Framework, Multiple use-cases

Logo detection

Image classification based on objects in Image

Recognize and analyze items in photos and video

Recognize a face from an image or a video and bring all correlated

information from the reference database.

Identify part numbers from visual characteristics

Identify and count inventory on display

Recognize patterns and distinguish objects

Recognize objects and quantify their characteristics

Find Objects of interest in a scene

Recognize the content in video and photos to generate metadata

and taxonomy automatically



Achieves compression ratios of 8:1 times without compromising on visual

quality

Accepts multiple formats (DCM, J2K, JPEG ,PNG, PDF, TIFF, AVI, WMV,

MPEG2 MPEG4, H.64 etc..)

Input attributes \ metadata are retained in output - format , scale ,

dimension , resolution, quality etc…

Automated Image edit features – resize, crop, smoothen, content filtering,

meta data edit

Options to choose Lossy / Lossless optimization

ROLLBACK option to regenerate original un-optimized file


Image & Video Optimization

iData EngineOptimization, Format

Standardization, Quality Checks, Data

Extraction

Image \ Video with LARGE file size

DCM, J2K, JPEG, PNG, PDF, TIFFAVI, WMV, MPEG2 MPEG4, H.64

Image \ Video with SMALL file size

DCM, J2K, JPEG, PNG, PDF, TIFF, AVI, WMV, MPEG2 MPEG4, H.64

• No visual quality loss• No metadata loss• Data capture for analysis

•Credit Card Application / Loan Origination / Know Your Customer (KYC) Modules – Retrieves hand-written or printed data from Application Forms including Name, Address, Gender, Employment Details, etc. and validates based on business rules.

•Legal Documents Module – Retrieves data fields from a Legal Contract including Title, Legal Entities, Execution Date etc.

•Bank & Financial Statements Module – Retrieves Customer Name, Account Number, Financial Institution Name, Address, Ledger Line Item Details etc.

Banking

Finance

Insurance

•Drawing Identification Module – Automatically identify the type of plan / drawing and recognize the discipline namely Electrical, Architectural, Plumbing etc.

•Page Title Finder Module – Auto Detect and recognize the title and page reference

•Factor & Shape Finder – Identify and recognize details of Architects, Engineers; Recognize the shape and verify compliance

•Spec Finder – Capture all specifications automatically

Engineering

Data

Analytics

•Image/Video Tagging – Automates the tagging of images & video with all relevant data from a video or image thereby enriching the search capabilities.

•Product Identification – Create a non-intrusive ‘shoppable’ experience embedded into video assets. iData captures the pixel coordinates for every object and brand identified to create a ‘clickable’ mode

•Archiving / Search – Analyze video, make correlations among videos, translate all screen on text, search for specific things or people, compare, reference, and develop knowledgebase

Media


iData Solution Accelerators

•Digital Content Creation Module – To automate the creation of device independent digital content (Epub) from image Pdf’s. Built-in mapping for automated transformation of XML/DHTML/HTML to various e-book formats.

•Image Tagging Module – For automatic tagging of images.

•Digital Rights Management Module – Build finger prints (fractal prints) in the image/document for protecting original content

•Elastic Search Module - Powerful elastic text search module to search content in non-linear mode

Publishing

•Medical Image Optimization Module - Reduces the file size of medical images without any loss of meta data or visual quality.

•Prescription Processing Module - Retrieves relevant information from a prescription including Doctor's information, Code, Patient Information, Drug, Dosage etc.

•Explanation of Benefits Module - Retrieves all relevant benefits information.

Healthcare

•Invoice & Order Processing Module – Retrieves data fields such as Invoice Number, Date, PO Number, Vendor Name, Invoice Amount, Tax etc. and validates based on business rules.

•Forms Processing Module – Retrieves relevant data fields from any printed or handwritten form with is either structure or unstructured and validates based on business rules.

•Automatic Feature Extraction Module – Retrieve data from Advertisement Flyers and Coupons. Fact Coding, UPC Coding & Product coding.

Business Process

Outsourcing


iData Solution Accelerators


Key Customers

Media Company

In US


Contact Us

Case Studies

Domain Profile

World's leading US based Retail Marketing Research and Consumer Behaviour Intelligence Company

Voluminous processing of unstructured retail image coupons for data, image feature extraction and data

analytics

Challenges

Transmit approx. 18,000 images everyday to India from the US (one Frame = 30 images at 5.94 MB per

frame) on 40 MBPS bandwidth; processing and rendering large image files at high volumes.

Process involved manual cropping of images and data entry (Fact coding and UPC coding) into a

specified file format with data fields in a database

Lower per person productivity: Approx. 240 Images/8 Hours.

Solution & Results

Through MapOptis, productivity levels propelled to 40,000 Images/Hour using MapOptis optimisation

Extraction productivity went to 5000 images per two hours

Process went from 100 Image analysts producing 18000 images/day to 15 QA resources producing

100,000 images in 8 Hours.

Team size reduced to only 15 resources, performing Quality Analysis & Checks

Storage requirements reduced by 60%

Accuracy levels consistently over 95% on auto mode.

Operational and man power cost savings at 60%


Case Study 1

Coupons & Flyers Extraction


Case Study 1

Coupons & Flyers Extraction

Domain Profile

A leading US based invoice processing company that works with world’s foremost Retail Chains

Voluminous processing of structured and unstructured invoices, with data manually being

captured

Challenges

Handling 4500 scanned invoices pages with multiple line items.

Double Data Entry for accuracy.

Productivity – 90 images/8 hours

Team size of 120

Solution & Results

MapOptis achieved productivity speeds of 4500 images per two hours. Provided Unlimited

Volume Scaling and immediate increase in volume of business.

Team size reduced to only 5 resources, performing Quality Analysis & Checks

Accuracy levels consistently at 99.95%

60% savings in operational and man power costs


Case Study 2

Invoice Data Extraction


Case Study 2

Invoice Data Extraction

Domain Profile

A leading Mobile Telecommunications Service Provider

Voluminous processing of hand written structured application forms.

Data was manually captured

Challenges

To automatically extract different types of data.

Accurately, without loss of image quality or data accuracy and with less manual

processing and dependencies

Solution & Results

MapOptis Extracted, optimized and stored all types of form data such as text,

signature, photo & attachments with 95% extraction and validation accuracy that

progressively improved to 98%

Churned an unprecedented 80% turn around time

Saving overall operational costs by 65%


Case Study 3

Handwritten Forms


Case Study 3

Handwritten Forms

MapOptis takes 10 seconds

Extracted Data with photo , signature can be ported to any data base

Handwritten Form Manual Data Entry takes Approximately 4 minutes per form


Case Study 4

Handwritten Forms


Case Study 5

Medical Image Optimization

• Dimension, Format, Resolution and quality are retained in the output file

• Above sample image being viewed using 3rdParty Image Viewer (Santa Fe)

Original Image

Image Type: DCMImage Size 7.19 Mb

Optimized Image

Image Type: DCMImage Size 1.83 Mb


Case Study 5

Answer Script Evaluation

Data & Analytics

iData Sciences Product Overview