Brad Martin
Software

Senstar Sensor Fusion Engine (Ai-Based)

Senstar Sensor Fusion Engine is a perimeter intrusion detection technology that synthesizes low-level data from separate security systems to generate actionable, high-confidence alarms by unifying:

  • Low-level data fusion across perimeter sensors and video analytics

  • Intelligent threat characterization and confidence scoring

  • Nuisance/false alarm suppression (NAR/FAR reduction)

  • Geo-spatial event mapping and camera call-ups

  • Historical event comparison (time, magnitude, location)

Product Metrics

  • Reduces Nuisance Alarm Rate (NAR) and False Alarm Rate (FAR)

  • Improves Probability of Detection (Pd) and overall Confidence Level (CL)

  • Drop-in deployment via Physical Security Appliance (PSA) with existing SMS/VMS

  • Reuses existing perimeter and video surveillance infrastructure

  • Scales to sites of any size and supports centralized visualization in Senstar Symphony

Company: Senstar
Role: Director of Product Management
Vertical Markets Served:Logistics, Airports, Utilities, Corrections, Critical Infrastructure
Scope: Led product strategy and execution for a sensor-fusion intrusion detection engine, guiding requirements, UX for alarm context/visualization, and integration pathways for drop-in PSA deployments and Senstar Symphony platform integration.
Impact: United Senstar’s software and hardware product lines into a single sensor fusion capability that delivered industry-leading innovation to address the security industry’s biggest operational pain point, nuisance alarms. Leveraged DNN-based video analytics and trained AI models to further suppress false events while improving detection confidence and operational efficiency.
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