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
API based integration system
Development AI module for detecting & tracing individual(s)
Identification of specific person and development of tracking module using multiple cameras (3 or more)
Dashboard / Visualization
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.
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
