Logical Data Model for Intelligent Video Surveillance Systems
Nataly Alexandrovna Zhukova, Alexey Subbotin · 2022
The article presents a logical data model for intelligent video surveillance systems. New opportunities for creating data models focused on the widespread use of machine learning methods are considered. New methods for constructing logical models and their application in intelligent video surveillance systems are proposed. A smartphone application has been developed. The effectiveness of using the proposed logical models for data processing in fog and cloud environments has been proved. Specific examples are given.