SSI_20200324182425%2520%25E1%2584%2587%25E1%2585%25A9%25E1%2586%25A8%25E1%2584%2589%25E1%2

INCHEON AIRPORT

AI recognition-based next-generation airport immigration management system

AI vision recognition-based next generation airport immigration control system development and demonstration project promoted by the Ministry of Justice and Information and Communication Industry Promotion agency to implement deep learning-based CCTV data analysis system for detection and prediction of various crimes and terror attempts. Ellexi has been selected as a main AI technology developer for this project.

Data Collection & Modelling

API기반 통합시스템.png

API based integration system

알고리즘 개발.png

Development AI module for detecting & tracing individual(s)

알고리즘 개발.png

Identification of specific person and development of tracking module using multiple cameras (3 or more)

대시보드 시각화.png

Dashboard / Visualization

유지_보수.png

Maintenance

Technological Challenges

System should detect and track an individual(s) abnormal/dangerous behavior with multiple cameras in real time and should be able to integrate with existing security monitoring system.

Abnormal Behavior Recognition

System should detect and trigger alarm for any actions categorized as below.

인천공항_기술적과제 표_영문.png

Road Map

Detection module

Modeling module

Prediction

Abnormal Behavior Explanation module

Module upgrades

Key Features

Abnormal behavior Detection

  • Multi-camera feature extraction

  • Specified/unspecified abnormal behavior detection

1

Reasoning function

  • Detection of more the five (5) simultaneous events

  • Specified/unspecified detection reasoning.

  • Facial recognition module integration capability

  • Operator Feedback function

2

Learning Features

  • Specific area learning

  • Specified/unspecified abnormal behavior detection learning features

3

Abnormal behavior description function

  • Multi-camera object extraction

  • Specified abnormal behavior classification visualization.

  • Object recognition-based abnormal behavior description display

4

Judgment after receiving welding result data

The Result

2

or more

Multiple-camera support

3

or more

Multiple-camera object tracking

(consecutive cameras)

90%

Specified abnormal behavior detection accuracy

Philo-V.png

Check out Ellexi's AI

​Philo-V (Anomaly Pattern Detection) Curious about the solution?