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.
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
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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

INCHEON AIRPORT

AI recognition-based next-generation airport immigration management system