3xLOGIC has introduced VIGIL 13.5, the latest version of its VIGIL Video Management System (VMS), adding AI Bridge and Face Recognition capabilities that bring advanced AI-powered analytics to existing video surveillance infrastructure. The update enables organizations to modernize security operations, improve situational awareness, and automate workflows without replacing legacy IP cameras.
AI Bridge Extends AI to Existing Cameras
AI Bridge is a hardware layer that applies edge-based deep learning analytics to video streams from existing IP cameras. This allows organizations to add intelligent detection and real-time alerts to current surveillance systems while avoiding the expense and disruption of replacing camera infrastructure.
The platform supports AI-powered analytics including person, vehicle, object, perimeter and loitering detection, people counting, dwell time, and fall detection. These capabilities help organizations across retail, healthcare, education, hospitality, warehouses, and smart city environments improve security and operational efficiency.
Examples include monitoring unauthorized vehicle access in campuses and warehouses, detecting falls in healthcare and senior care facilities, optimizing retail queue management through people counting, and protecting restricted areas with intrusion detection.
Vendor-Neutral Deployment
AI Bridge is designed for mixed-camera environments and supports vendor-neutral deployments. Administrators can centrally configure the platform through the VIGIL Server Management Utility (VSMU), while organizations can combine AI Bridge with 3xLOGIC’s Edge-Based Deep Learning cameras within the same VIGIL deployment for a flexible hybrid surveillance strategy.
Face Recognition for Proactive Security
VIGIL 13.5 also introduces Face Recognition capabilities that enable organizations to create secure local watchlists, receive real-time alerts when persons of interest are detected, search recorded video more efficiently, and automate workflows based on facial recognition events.
The feature processes facial recognition at the edge, helping organizations maintain greater control over sensitive data while improving investigation speed and operational awareness.
Integrated Across the 3xLOGIC Ecosystem
The latest release integrates with VIGIL CLOUD, PACOM VIGIL CORE, and SONITROL CORE, enabling AI analytics across on-premises, cloud, and hybrid deployments. AI Bridge is available through a perpetual on-premises license or as a subscription via VIGIL CLOUD, providing flexible deployment options.
Mike Poe, Director of Product Management at 3xLOGIC, said:
“AI is helping organisations unlock more value from the infrastructure they already own. Now, with VIGIL 13.5, customers can add powerful AI analytics and facial recognition to existing camera deployments without the cost and disruption of replacing their entire surveillance estate. Whether they’re looking to improve security, increase efficiency or begin their AI journey, VIGIL 13.5 provides a practical and scalable path forward.”
3xLOGIC is a provider of integrated security solutions offering video management, access control, intrusion detection, cloud services, and business intelligence technologies for commercial and enterprise environments.
AI Bridge is a hardware solution that adds edge-based AI analytics to existing IP cameras, allowing organizations to deploy advanced video intelligence without replacing their surveillance infrastructure.
What AI analytics does VIGIL 13.5 support?
VIGIL 13.5 supports person, vehicle, object, perimeter, loitering, dwell time, people counting, and fall detection analytics, along with facial recognition.
Does AI Bridge work with third-party cameras?
Yes. AI Bridge is vendor-neutral and supports mixed-camera environments, making it compatible with many existing IP camera deployments.
How is facial recognition handled?
Facial recognition processing occurs at the edge, allowing organizations to maintain greater control over sensitive data while enabling watchlists, real-time alerts, and faster investigations.
