Video Analytics (DNN Analytics)

Senstar Video Analytics is an AI-powered analytics suite built for security applications that uses Deep Neural Network (DNN) algorithms to intelligently classify, track, and trigger actionable intrusion events by unifying:

DNN-based object classification and tracking for people and vehicles
Virtual zones and directional tripwires for flexible perimeter use cases
High-performance detection for low-light and thermal camera deployments
Specialized analytics modules integrated into the Senstar Symphony platform
Security and operational automation workflows driven by analytic metadata

Product Metrics

DNN AI Object Tracking trained for outdoor security use cases
Supports virtual zones and directional tripwires
Designed for low-light and thermal camera configurations
Suite includes analytics such as ALPR, face recognition, PTZ auto-tracking, crowd detection, and indoor and outdoor people and vehicle tracking
Creates searchable metadata to reduce monitoring effort and improve response speed

Company: Senstar

Role: Director of Product Management

Vertical Markets Served:Logistics, Airports, Utilities, Corrections, Critical Infrastructure, Data Centers

Scope: Led video analytics product strategy and execution across a portfolio of DNN-based capabilities, aligning model performance, configuration workflows, and platform integration within Senstar Symphony to deliver reliable real-world detection for security operators.

Impact: Brought industry-leading DNN-based video analytics to the Senstar platform to improve real-world detection accuracy and materially reduce nuisance alarms by better classifying people and vehicles in challenging outdoor conditions, strengthening overall security outcomes and enabling broader automation across customer operations.

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