Software Products Development for a Global Leader in Video Security.

• Dedicated team of C++ Windows developers on VMS.
• 5 years of Cooperation.
• Product re-engineering, UI revamp, performance improvements.
• ONVIF Compliance.
• Several 3rd party integrations.

Integrations of Face Recognition System.

• Face Recognition analytics on Video Streams.
• "Trajectory" for movement of a person across different sectors (with event sequence & timestamp).
• Detection of white or Black-listed people (searching faces using images in databases).
• Face Search, Analytics.
• C++, VS 2019, MFC, MSSQL, REST APIs, Sockets.

False Alarm Filtering.

• Scope : Development of a "False Alarm Filter" module for a modern modular AI-Powered physical threat detection system that interworks with Nx Witness VMS.
• False Alarm Filter for filtering out false motion alarms sent by cameras or any other event source. The event source can be either VMS or Monitoring Platforms or any other IP surveillance device software.
• Video file conversion up-to 5 FPS / 5 seconds long. Converted video files are then triggered to a public API endpoint over HTTP for filtering.
• Technology Used : C++, C#/.NET, REST APIs.

Integration of UVIS/ALPR.

• Scope : Integrate Under Vehicle Inspection System to enable control from VMS towards the UVIS devices.
• Configure UVIS devices, Bi-directional event handling (including commands from VMS to UVIS devices).
• Handling Alarms and events on VMS.
• End-to-End handling of ALPR (add/edit number plates & information in ALPR, display of vehicle & owner information on VMS).
• Technologies Used : UVIS/ALPR Simulator, SignalR C# Client, HTTPS MFC Client, C++, VS 2019, MFC, MSSQL, JSON, REST APIs.