
2026年9月22日
More accurate analysis, automatic face capture, enhanced capture guidance, and multilingual support in Thai, Mongolian, and Khmer.
From scanning to analysis, the Becon experience is becoming more convenient.
We are introducing key feature updates designed to provide more accurate scanning and a more reliable analysis experience.
UPDATE
Face Auto-Capture
Enhanced Scanning Guide
COMING SOON
Image Confidence Check
Thai · Mongolian · Khmer Language Support
01. Check Your Images Before Analysis
Image Confidence Check
You can review images with low analysis reliability and delete unwanted or poorly captured images individually.

so you can select only the necessary images before starting the analysis.
02. Face Auto-Capture

BEFORE
Manually align your face and press the capture button.
Manually check face position & direction
No alignment status guidance
Manually press the capture button
AFTER
It monitors the face’s position and orientation in real time, and if the shooting location matches the guide, it automatically starts filming after 3 seconds.
Real-time face position & direction detection
Color-coded alignment guidance
Distance guidance
3-second countdown before auto-capture
Capture automatically cancelled if the face moves out of position
Auto-capture ON/OFF setting
Supported Capture Steps
Skin Analysis · Front / Left / Right
Hair Loss Analysis · Hairline Front
Available Environments
Available in demo environments such as pharmacies and DDP, excluding Olive Young.
03. Thai · Mongolian · Khmer Support Coming Soon
Experience Becon in More Languages
To make Becon more accessible across different environments, new languages will be added soon.

THAI ประเทศไทย | MONGOLIAN Монгол Улс | KHMER កម្ពុជា--- |
Language support will be gradually applied to the app and key features.
04. Enhanced Capture Guidance
From skin to scalp and hairline, the guide provides clear instructions on where and how to capture images.

Skin Analysis Front · Left · Right | Scalp & Hair Loss Analysis Hairline · Crown · Scalp |
Examples of GOOD images suitable for analysis and BAD images that require attention are provided together, making it easier to capture images correctly.