Video Surveillance Software with Object Recognition

Development of an intelligent video surveillance system for a large retail company using artificial intelligence and machine vision technologies.

Problem: Serious gaps in security and object/asset monitoring.
Solution: An AI-powered surveillance interface capable of detecting and preventing both potential and actual threats and violations.

The main goal of the project was to increase the security level of retail areas, automate video stream analysis, and reduce human error during monitoring. The system recognizes people, vehicles, and other objects in real time, and analyzes visitor behavior to detect anomalous situations.

The project included developing neural network training modules, optimizing detection and tracking algorithms, and creating a user-friendly interface for security operators. The solution integrates with existing surveillance infrastructure, offering scalability and high fault tolerance.

Development of an intelligent video surveillance platform capable of automatically recognizing and analyzing events in real time to enhance security and staff efficiency.