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WGMS

Cloud Management System That Improves Operational Efficiency
Smart Check-in

The first step of a contactless golf round

With a 27-inch large monitor and an intuitive UI/UX, it is easy for anyone to use. Currently in operation at over 70 golf courses nationwide, it supports various payment methods, including prepaid payments and split billing.

Function

Accurate and seamless smart check-in

1. Smart Check-in ProcessFunction 01

Step 01.Check-in
Step 02.Print locker ticket
Step 03.Playing a round
Step 04.Check-out
ATee-off check-in
Check reservation or tee time
Enter name/contact info/gender
BGroup reservation check-in
Select reserved group name
Enter name/contact info/gender for each member
Step 01.Check-in
Step 02.Print locker ticket
Step 03.Playing a round
Step 04.Check-out
Print locker ticket
Automatic registration of
front-end customer check-inWGMS Administrator
Playing a round
Step 01.Check-in
Step 02.Print locker ticket
Step 03.Playing a round
Step 04.Check-out

2. Kiosk Facial RecognitionFunction 02

A fast and convenient unattended kiosk facial recognition solution

AWS Rekognition
Image and video recognition
technology provided by AWS

When a face is captured, the system extracts facial feature vectors (numerical data such as eyes, nose, and facial contours) and compares them with registered data to verify the user's identity.

Vector-Based Facial Data Processing
Facial characteristics (eyes, nose, contours, proportions) are converted into numerical vector data and stored
  • Original facial images are not retained, minimizing the risk of personal data leakage
  • Upon account deletion, facial vector data is automatically and immediately removed, with deletion logs verifiable via AWS CloudTrail

A self-service check-in solution that uses facial recognition as an identity verification method

  • WGMS does not store original facial images and ensures privacy protection and anti-tampering through E2E encryption
  • E2E Encryption: All data is encrypted across the entire transmission path from the kiosk to AWS preventing interception or misuse during data transfer

Facial Recognition Process

01Facial Registration
Step 01.
Front Desk Registration → Member Verification
  • Links WGMS member information with captured facial data
  • User consent for personal data processing is required
Step 02.
AWS Recognition Registration
  • Captured facial images are converted into vectorized feature data and registered in the AWS cloud
  • A unique Face ID is generated
Step 03.
Member ID & Face ID Mapping
  • Secure and accurate storage of facial recognition data
02Check-In / Check-Out
Step 01.Identity Verification
Kiosk Facial Recognition
  • The customer captures their face using the kiosk's built-in camera
Step 02.Matching
AWS Recognition Matching
  • The system compares the captured face with registered data and verified Face ID is transmitted
Step 03.
Member ID Retrieval
  • The member's reservation records are automatically retrieved and displayed
Step 04.
Member-Specific Management
  • Check-in/check-out status is automatically updated with settlement and sales integration
03Enhanced Security in Compliance with Privacy Laws
No Storage of Personal Biometric Data
  • Facial images captured are linked only to WGMS member information
  • Explicit user consent for personal data processing is required
Encrypted Data Transmission
  • E2E encryption applied between the kiosk and AWS (WGMS acts as a secure intermediary)
  • TLS 1.2 or higher applied across the entire path (Kiosk–WGMS–AWS) to prevent eavesdropping and tampering