Vigil 13.5 has been designed to support users who wish to improve operational awareness, automate security workflows, and modernise surveillance capabilities while maximizing their existing investment.

AI Bridge brings AI analytics to legacy ecosystems

AI Bridge is a hardware layer that runs deep learning analytics on video from existing IP cameras. It applies edge-based deep learning analytics to existing IP camera deployments, enabling standard cameras to deliver intelligent detection and real-time alerts without the cost and disruption of a complete hardware refresh.

For dealers and integrators, AI Bridge creates new opportunities to bring AI capabilities into existing customer environments while reducing barriers to adoption. Organisations can extend the life of their current camera infrastructure, accelerate AI adoption, and build a future-ready surveillance strategy without undertaking costly rip-and-replace projects.

AI Bridge supports a broad range of AI-powered analytics, including person, vehicle, object, perimeter and loitering detection, dwell time, people counting, and fall detection. This makes it particularly attractive to retailers, educational institutions, healthcare, hospitality and entertainment, warehouses, and smart city leaders. Object detection, for example, can help operators track unexpected vehicles on an academic campus or warehouse yard.

Fall detection ensures a quick response if a person in a clinic or resident in a care home falls, while entry and exit detection will alert to possible absconding. This ensures individuals remain safe while staff can continue their duties with peace of mind that the system will alert them to any unusual behaviour or emergencies.

In retail settings, people-counting can improve wait times and queue management in a store, ensuring a good customer experience. Intrusion detection can secure back offices and stockrooms, and dwell times can tell leaders what areas of a store are most popular.

Vendor-neutral offers greater flexibility

The platform is vendor-neutral, supports mixed camera environments, and can be centrally configured through the Vigil Server Management Utility (VSMU). Customers can also combine AI Bridge along with 3xlogic's Edge-Based Deep Learning cameras within a single Vigil deployment, providing a flexible approach to modernization across hybrid environments.

Supporting proactive security

Vigil 13.5 also introduces Face Recognition capabilities to the Vigil platform, helping security teams move beyond passive video monitoring to responsible, proactive awareness. Using edge-based AI processing, the feature allows organisations to create secure local watchlists, receive real-time alerts when persons of interest are detected, rapidly search recorded footage, and automate workflows based on facial recognition events.

Designed with privacy in mind, facial recognition processing takes place at the edge, helping organisations maintain control of sensitive data while improving investigation speed, situational awareness, and employee efficiency.

Part of the wider ecosystem

The latest release integrates seamlessly with the wider 3xlogic ecosystem, including Vigil Cloud, Pacom Vigil core, and Sonitrol Core, inviting users to deploy AI analytics across on-premises, cloud and hybrid environments. AI Bridge is available as either a perpetual license for on-premise deployment or as a subscription through Vigil Cloud, giving customers the flexibility to align deployment with operation and budget requirements.

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."