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Face Recognition for Video Surveillance

Detect known individuals, receive real-time alerts, accelerate investigations, and automate security workflows, all with a privacy-minded, edge-based architecture. Face recognition is the next step in modernizing your video surveillance system.

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Proactive Awareness Through Video Surveillance

Video surveillance systems can record who was present, but they can’t tell you when a specific person arrives. VIGIL Face Recognition enables notifications when a known individual arrives, such as someone who’s not allowed on the property or a VIP customer walking through the door.

 

As a result, your team can act immediately rather than playing catch-up. Additionally, your teams won’t have to spend hours reviewing footage to better support their investigations. Face recognition helps your business capitalize on opportunities to provide personalized experiences.

 

VIGIL Face Recognition uses InterACT Cameras and Bullet Cameras to perform edge-based face recognition and securely manage known face databases stored locally. When a face is recognized, VIGIL can notify teams to help them respond earlier and more effectively.

 

Face data is always managed locally, supporting privacy-conscious deployments while delivering actionable insights.

face recognition of man opening a door

Why Choose VIGIL Face Recognition

Real-Time Awareness

Receive alerts when known individuals, watchlist matches, or VIPs are detected, so your team can act early and appropriately.

Faster Investigations

Quickly locate individuals across recorded video and reduce time spent reviewing footage.

Automated Response

Trigger notifications, alarms, digital outputs, or workflow actions when matches occur.

Privacy-Minded

Leverage edge-based processing and local data management for controlled deployments.

Industry Applications

While face recognition seems designed for high-security environments, it has practical applications across all industries. The ability to identify specific individuals early enables teams to respond more effectively, resulting in a better experience for them and the customer.

nurses speaking with each other in a hospital lobby

Face Recognition Use Cases

Retail & Convenience Stores

Retail stores benefit from face recognition in video surveillance by improving customer service and reducing asset loss. Customers are more engaged, and your team’s situational awareness is heightened in turn.

Your store can use face recognition in the following ways:

  • Identify and create watchlists of known shoplifters
  • Provide tailored customer service to VIPs
  • Gain demographic insight for operations and marketing
  • Better investigate security concerns after incidents occur

Enhance your school’s safety by identifying problematic individuals sooner, resulting in a more effective response and a safer learning environment.

Face recognition helps:

  • Identify unauthorized visitors
  • Alert you for flagged individuals
  • Support emergency investigations
  • Speed up security investigations

Improve your corporation’s security posture and visitor experience with face recognition capabilities. This feature easily applies to your existing security solutions to better identify threats and tailor VIP experiences. 

Face recognition supports the following:

  • Detect unauthorized individuals
  • Notify staff when executives or VIPs arrive
  • Trigger automated workflows for security events

Protecting your guests and patients is your top priority, and face recognition supports those initiatives by speeding up and improving the effectiveness of security investigations. 

Face recognition helps hospitals and hospitality businesses by:

  • Monitoring restricted areas
  • Recognizing VIP guests or critical patients
  • Supporting incident investigations

See Face Recognition in Action

Discover how VIGIL Face Recognition can help your organization improve security, accelerate investigations, and create smarter, more responsive operations.