


Philo-V
Image & Video Processing Solution
Using Deep learning-based motion recognition and analysis technology , providing functions such as object detection and tracking, image/video context awareness modeling, as well as face recognition.

'Philo-V 이상행동 감지 솔루션 v1.0’
GS 인증 1등급 획득
(한국정보통신기술협회TTA)
Extraction of anomalies from the medical data
Detection of abnormal behaviors / patterns from live stream video feed (Smart CCTV)
Detection of abnormal patterns from video & images

Features
Tracking of the people with abnormal behaviors

Detection in single area using two or more cameras simultaneously


Visualization of abnormal behavior detection results

Real-time system updates based on administrator’s decision


Real-time detection of both specified and unspecified behaviors such as zone invasion, backward movement, sudden rush and more




Case study
NHN ToastCAM
Development of face identification(detection) module for toast cam camera

INCHEON AIRPORT
AI recognition-based next-generation airport immigration management system
