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.
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'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
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Features

Tracking of the people with abnormal behaviors
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Detection in single area using two or more cameras simultaneously
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Visualization of abnormal behavior detection results
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Real-time system updates based on administrator’s decision
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Real-time detection of both specified and unspecified behaviors such as zone invasion, backward movement, sudden rush and more
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Case study

NHN ToastCAM

Development of face identification(detection) module for toast cam camera

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INCHEON AIRPORT

AI recognition-based next-generation airport immigration management system

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