face recognition technology to use supermarket or convenient shop

REVENUE UP VALUE UP

MAKE YOUR STORESMORE VALUABLE

WITH FACE IN-STORE

FOR RETAIL STORES CONSUMER ANALYTICS SOLUTION

BASED ON FACE RECOGNITON

(Head Office) #308 Daegu Digital Promotion Center, 831, Songhyeon-ro 205, Dalseo-gu, Daegu, KoreaTEL. +82-53-588-9778 / FAX. +82-53-588-5778

(Seoul Office) #802 Ace high end tower 1cha, Digital-ro 26-gil, 5, Guro-gu, Seoul, Korea(IDC Center) 4F, KT Bldg., PSCO-daero, Nam-gu, Pohang-si, Gyeongbuk, Korea

www.sejoongis.co.kr/face Contact us : [email protected]


WITH FACE IN-STORE

ABOUT SEJOONG I.S

With People SEJOONG I.S works with “PEOPLE”

I truly thank you for visiting SEJOONG IS. SEJOONG I.S was separated from SEJOONG Namo Travel Co., Ltd.’s IT Division in December 2007 according to its specialization strategies. We are making efforts to realize the values pursued by SEJOONG Group through IT. Since its establishment in 1982, SEJOONG Group has promoted various businesses focused on travel and IT to work with “people” for the past 24 years. With the faith that “people” should be the center of everything in the world, SEJOONG has been able to work with many people in various industries thanks to many people who have shared their passions with us. SEJOONG g IS, as a member of SEJOONG Group, will always put “people” as our priority and work harder to provide higher quality products and services. In order to be a company that brings happiness, convenience, and better quality of life to “people,” all officers and members of SEJOONG IS promise to do our best. With a progressive mindset to challenge and learn, we will make SEJOONG IS a better company. We greatly appreciate your encouragement and interests in us. In lieu of the officers and members of SEJOONG, I would like to thank everyone for your support. I wish you peace and happiness.

THANK YOU

Nov 2006SEJOONG NAMO Travel Group Co., Ltd. built and started operating ERP for 63 partners of POSCO.

Dec 2007

May 2008

Dec 2008 ERP operation expanded to 75 partners of POSCO Group.

Nov 2010

Dec 2011

Feb 2012 Replaced ERP server (IBM server) and opened Smart Work Integration Center.

Feb 2012

Feb 2012

Separated from SEJOONG NAMO Travel Group Co., Ltd. to establish SEJOONG IS Co., Ltd. as independent corporation.

Registered as venture business and established affiliated technical research center.

IDC server center opened for 75 partners of POSCO Group.

Received order for building optical network in POSCO Steels (KT, Post ICT Consortium].

Registered as POSCO partner: Developed performance analysis system.

Received order for developing internal control management program for POSCO.

Dec 2013Started developing Next Generation POSCO POSPIA 3.0. Applied Patent : US-61,913,717 Signature pad integrated with consumer analytics system

Jan 2013Sales contract with BGF Retail GroupSales agency contract with Fujitsu Korea

Jan 2013 Applied Patent : KR-2013-0006418 ; Automatic Consumer Analytics System on P.O.S

HISTORY

PARTNERS


WITH FACE IN-STORE

AUTOMATIC CONSUMER ANALYTICS SOLUTION

In Future Retail Market,

1) Big Data which is based on real time data mining such as product analysis, store analysis, customer analysis, purchase pattern analysis, will be a key competition factor.

2) Companies to be required valuation analysis with the same quality of data

2) For indiscriminate Media A/D market, the right information from Big data should be delivered to customers in the right place, at the right time.

4) The Ad Industry mainly based on TV and Wire Internet has been rapidly changed by wireless network and mobile device. As it gets much easier for customers to get the information at anytime and anywhere they want, companies also to be required to deliver the information much more faster.

Reliability issues over manual job

coefficient

Differentiation with competitors needed

More work needed for additional cost and datafication

Inactive and Inefficient marketing feedback

Taking initiatives

by

dominating

Information and Place

in advance.

Analyzing the advertising impact of the target marketing

by market segmentation.Providing the appeal point on

purchase decision making.

Technology Convergence on Customer Type Analysis

For the active response toward a new market trend, customer segmentation analysis and action items are required.

A scientific analysis on visit –customer needed to build a systematic customer database.

Inaccuracy issues over customer-key information, often occurred in retail stores, should be resolved.


WITH FACE IN-STORE


CONCEPT

Automatic Consumer Analytics Solution is based on face recognition technology.Our solution is integrated Point of Sales system and it does not need any other devices to analyze features.

Strength Points

HIGH STABLITY

Because our solution operates on POS system, it provides high system stability

LOW INFRASTRUCTURE INVESTMENT

No need any other devices to analyze consumer features such as server or computer

TARGETED ADVERTISING

By using consumer analyzed data, retailors are able to advertise to targeted consumer

Success rate of gender analysis

93%

Success rate of age analysis

70% Valuation basis : ±5

Real Convenience Retail Store Operation Result (100 Stores)

RESULT

FACE In-Store is being operated at over 2,000 retail stores

32

Female

AGE

GENDER


WITH FACE IN-STORE


PROCESS OF COUNSUMER ANALYTICS ON POS SYSTEM

- For operating on low performance POS system, we provide optimized algorithms

- Offer a variety of contextual relating process such as method of camera handling, cognition method, cognition timing

- Consumer analysis via face features (no saving consumer’s face image files)

camera

POS

POS Activation Camera Activation

Procedure Call Message Checking

Face Recognition & Consumer Analysis

Age & Gender Estimation

DATABASE ENDFAIL

FAIL

PROCESS

MAJOR TECHNOLOGIES

FRAMEWORKDEVICES SERVICE

Face Detection

Face Tracking Object Tracking

Face MatchingGender Estimation

Age Estimation

3D Face Tracking 3D Face Generation

Human Detection

Human Head Detection

Smart 3D TV

Video Mining

Interactive Signage


WITH FACE IN-STORE


DVR

SERVER CCTVSurveillance

CENTER REATIL STORES

IDC CENTER

Big Data

FIS DATA BASE

VIP COGNITIONSAFETY

CCTV BASED VIDEO ANALYSIS SOLUTION FOR RETAIL STORES

▷ Automatic analyzing on customer types

▷Measuring the number of visitors

▷Intelligent video surveillance

▷Measuring how long customer stays in store

▷Analyzing purchase conversion rate

▷VIP recognition

Key Functions of “FACE IN-STORE”

• Customer-type automatic analysis solution : Analyze a customer’s gender and age in real time through the cameras which is placed at the POS.

• People counting Solution : Measure the number of customers who enter in and out from the retail stores.

• Stay-time measurement Solution : Measure how long a customer stays in retail store.

• Purchase pattern rate analyzing solution : Analyze the purchase pattern rate as compared the number of visitors with the volume of sales.

• VIP CRM Solution : For VIP customers, VIP identification and visiting history check -up are conducted by using the face database.

DWELL TIME

PEOPLECOUNTING

AGE & GENDERESTIMATION

face recognition technology to use supermarket or convenient shop

Marketing