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Proactive Safety & Risk Intelligence

Next-generation computer vision that converts live video into actionable safety signals at the source.

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Securing complex environments requires a transition from passive recording to active comprehension. The primary hurdle for security teams is managing vast amounts of visual data while maintaining strict adherence to privacy standards.

AlgoFace offers an adaptable, edge-based AI framework that translates human movement and behavior into immediate operational insights. This allows security personnel to identify risks and manage crowd safety without ever collecting or storing personal identities.

Elevating Situational Intelligence

We provide a scalable intelligence layer that integrates with your existing VMS and camera infrastructure, focusing on three operational pillars:

Safety Event Detection

Move beyond simple motion alerts. Identify safety-relevant movement patterns and environmental conditions – such as rapid directional changes, abnormal motion velocity, and sudden crowd compression – to enable earlier awareness and response.

Crowd & Spatial Flow Analytics

Monitor aggregate occupancy levels and pedestrian bottlenecks in high-traffic zones to prevent overcrowding and ensure clear egress paths.

Perimeter and Access Zone Monitoring

Use non-identifying spatial AI to detect unauthorized dwell time or restricted zone incursions, providing high-fidelity alerts while maintaining default facial redaction and minimizing data exposure.

A Flexible Framework for Secure Spaces

AlgoFace provides security operators with a library of edge-enabled tools that detect, analyze, and monitor to enhance safety. Because processing occurs locally, sensitive information is never transmitted to the cloud.

Our modular architecture allows organizations to deploy essential safety analytics immediately, with the ability to activate additional insights as security needs and capabilities evolve.

Primary System Functions

1

Real-Time Identity Masking

The Core Privacy Layer. This feature instantly blurs facial features at the point of capture. By processing data at the edge, all downstream analytics are performed on face-redacted feeds.
  • Operational Impact: Facilitates advanced security monitoring in sensitive or public areas while meeting privacy mandates.
  • Common Applications: Public transit security, office lobby monitoring, and retail safety.
2

Safety Analytics

Decoding Situational Context. Our models analyze body language, gaze direction, and orientation to provide “semantic signals” of potential trouble.
  • Key Data Points: High-velocity movement, aggressive orientation, and lingering patterns.
  • Operational Impact: Provides early warning signs of potential escalations or medical emergencies.
3

Privacy-Preserving Re-ID

Non-identified Cross Camera Tracking. Linking the same unidentified person across multiple cameras for short-term operational purposes without knowing or being able to identify who they are.
  • The Privacy Edge: Enables the tracking of movement paths across a large campus while maintaining a redacted state.
  • Operational Impact: Essential for understanding complex security breaches or investigating movement history in large venues.
4

Authorized Redaction Reversal

Incident-Specific De-redaction. If approved and integrated, authorized personnel can bypass redaction for specific live or recorded feeds when legitimate incidents are flagged.
  • Secure Access: Redaction reversal is not integrated by default and requires customer-defined legal, operational, and access controls.
  • Audit Trail: Every instance of redaction removal is logged, providing a transparent record of who accessed the data and why.
5

Instant Operational Notifications

From Detection to Action. The system can automatically trigger alerts when specific behavioral or environmental thresholds are met.
  • Operational Impact: Empowers security teams with a dashboard of real-time priorities, reducing the need for constant manual monitoring.

Security-Focused Architecture

Our platform is built to ensure that security optimization does not come at the cost of data liability.

  • Edge-Based Processing: All AI computation is handled on the device or local server, removing the risk of external data breaches.
  • Metadata Transformation: Raw video is immediately converted into non-identifying safety metadata via facial redaction.
  • Localized Control: Clients define the specific analytics and alerts required, ensuring the system reflects their unique security policies, requirements and operational needs.
  • Role-Based Visibility: Modular integrations and granular permissions allow you to define exactly who can see what, from “Metadata Only” for analysts to “Full Access” for senior security directors.

The Outcome: Protection Without Compromise

AlgoFace equips security professionals with the tools to see further and act faster. By focusing on “Detection without Recognition,” we provide a scalable solution that protects assets and people while respecting people’s rights to privacy.

Ready to Modernize Your Security Posture?

Learn how AlgoFace can integrate with your current infrastructure to provide safer, smarter environments.

Create Safer Spaces