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Philo-V

Image & Video Processing Solution

Acquired GS Certification Grade 1

'Philo-V Abnormal Behavior Detection Solution v1.0'
Korea Infomation and communication Technology Association TTA

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Using Deep learning-based motion recognition and analysis technology, providing functions such ad 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

Key Features

Tracking of the people with abnormal behaviors

1

Detection in single area using two or more cameras simultaneously

2

Visualization of abnormal behavior detection results

3

Real-time system updates based on administrator’s decision

4

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

5

Case Studies

NHN ToastCAM

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

3 month Development | 3 Professionals Manpower

INCHEON AIRPORT

AI recognition-based next-generation airport immigration management system

7 month Development | 4 Professionals Manpower