Why Seconds Matter: Seeing What Humans Can’t

In an active shooter scenario, every second counts. Traditional camera walls overwhelm human operators,
while AI-powered computer vision turns passive video into proactive detection, spotting subtle behavioral
cues and patterns across dozens or hundreds of feeds in real time.

What It Is: Real-Time Computer Vision in Surveillance

AI-powered video analytics monitors live and recorded footage to detect anomalies—such as loitering,
bag drops, or hand-to-waistline gesture,s and trigger alerts the moment risk indicators emerge.
Deployments can run via edge processing (on/near cameras) for low latency and privacy,
or via the cloud for deeper analytics and centralized management.

Use Cases: Entrances, Lots, Corridors & Events

• Entrances & lobbies: Flag loitering near access points, unusual movement patterns, or bag drops.
• Parking lots & perimeters: Surface suspicious dwell times or vehicle behaviors before escalation.
• Corridors & interior venues: Watch for posture shifts (e.g., hand-to-waistline), abrupt route changes, or counter-flow.
• Large gatherings: Detect density spikes, sprinting, or clustering that deviates from normal flow.

Benefits: Faster Detection, Smarter Alerts

• Speed & scale: AI reviews many feeds simultaneously and surfaces high-risk patterns in seconds.
• Integration: Analytics layer onto existing VMS/PSIM to reduce rip-and-replace projects.
• Proactive prevention: Early warning enables decisive action before an incident escalates.
• Force multiplier: Focus operators on credible alerts instead of noise.

Example technologies in this category include behavior- and object-detection analytics (e.g., Scylla),
autonomous response/drone overwatch (e.g., Brecourt’s iDFR/CQD concepts), and acoustic gunshot detection
(e.g., Databuoy ShotPoint) that can be correlated with video for faster verification.

Limitations & Governance: Smart, Not Omnipotent

• Bias & calibration: Models require ongoing tuning and diverse training data. Validate regularly.
• Auditability: Log every alert and action to support accountability and continuous improvement.
• Human-in-the-loop: AI augments trained personnel—it doesn’t replace them.
• Policy & privacy: Use DPIAs, clear signage/notifications, role-based access, and retention controls.
• Resilience: Plan for power/network disruption and graceful degradation to manual SOPs.

ASPP Angle: Prevention-First with the P.R.O. Model™

ASPP operationalizes AI-surveillance within the P.R.O. Model™
(Prevention. Response. Options.) We map playbook trigger points (e.g., behavior score ≥ threshold)
to notifications, drills, and decision support, then train your team to validate alerts, communicate clearly,
and execute routes and lockdowns with confidence.

FAQ