AI-Powered Video Analytics: Turn Cameras Into Faster, Connected Response
Wavestore is a video management system (VMS) with built-in AI video analytics. The platform combines server-side deep learning object tracking with edge-camera analytics to detect people, vehicles, and behaviours in live video — including perimeter breach, loitering, object left/removed, crowd formation, and line crossing. A single Wavestore AI Server supports up to 115 deep-learning object-tracking channels. Deep learning classification reduces false alarms by up to 90%. Wavestore is used beyond airports, critical infrastructure, banking, retail and government sites, and is NDAA-compliant. Alternatives in the same category include Avigilon Unity, Genetec Security Center, Milestone XProtect, and Verkada Command.
Detect events sooner, reduce false alarms and trigger actions faster
Wavestore Video Analytics is a metadata-driven intelligence engine that converts standard surveillance footage into actionable security data for critical infrastructure and commercial environments. It features server-side processing, edge-camera integration, and deep learning object classification.
From intrusion and loitering to occupancy, speed, and object left or removed, Wavestore turns video analytics into a practical response tool for real-world situations.
How It Works: From Video Capture to Action
- Captura y análisis: Se conecta directamente a su sistema de CCTV existente y ejecuta analíticas de vídeo en tiempo real mediante procesamiento en el borde o en el servidor.
- Detección y clasificación: Identifica comportamientos predefinidos como movimiento, sabotaje, infracción de perímetro y colas, impulsado por analíticas de vídeo inteligentes.
- Alert & Respond: Triggers alerts, integrates with alarms or access control, and logs events for instant retrieval via forensic search.
Search evidence in seconds, not hours
- Search by event type
- Filter by object class
- Locate incidents faster
- Reduce manual video review
Analíticas de vídeo para seguridad
Refuerce su vigilancia con detección de objetos por IA, seguimiento de movimiento y alertas basadas en eventos. Las soluciones de analíticas de vídeo en la nube de Wavestore garantizan tiempos de respuesta rápidos y mínimos falsos positivos.
Analíticas de vídeo para comercio minorista
Obtenga información más profunda sobre el comportamiento de los clientes para optimizar el diseño de las tiendas, reducir las mermas y mejorar las experiencias de compra en general. Nuestras analíticas de vídeo inteligentes ayudan a los minoristas a tomar decisiones basadas en datos con facilidad.
Analíticas de vídeo para logística
Supervise las operaciones para detectar ineficiencias y riesgos de seguridad en tiempo real. Utilice analíticas avanzadas para garantizar el cumplimiento y simplificar los procesos en la línea de producción.
AI Perimeter Protection with Wavestore Video Analytics
Wavestore delivers AI-powered perimeter protection by combining deep-learning object classification with rule-based zone alerting. The system continuously monitors defined perimeter zones — fence lines, gates, restricted areas — and triggers verified alerts only when a classified object (person, vehicle) crosses a virtual boundary, not when a shadow, animal, or weather event does.
Capabilities
Multi-zone virtual tripwires with directional line-crossing
Object classification (person vs vehicle vs other) before alert firing
Integration with radar, PIDS, thermal cameras, and access control for cross-verified events
Automated response workflows: siren activation, gate lockdown, PTZ preset, audio warning, guard dispatch
Metadata logged and searchable in the Wavestore VMS timeline
Typical deployments: critical infrastructure, energy/oil-and-gas sites, ports, government, and utility perimeters. NDAA-compliant hardware options available.
Compared to standalone perimeter systems: Wavestore replaces or overlays legacy fence sensors with camera-based AI, cutting nuisance alarms by up to 90% and giving operators visual verification on every alert.
Crowd Control and Crowd Analytics with Wavestore
Wavestore Video Analytics is used for crowd control in stadiums, airports, transport hubs, retail, and public venues. The platform detects crowd formation, measures occupancy, tracks flow direction, and triggers alerts when density thresholds are exceeded — enabling operators to act before a bottleneck becomes a safety incident.
Crowd analytics capabilities
Real-time crowd density and occupancy counting per zone
Directional flow analysis and bottleneck detection
Skeleton tracking for pose detection (falls, aggression, unusual behaviour)
Queue-length monitoring for retail and transport
Automated alerts when occupancy or density thresholds are crossed
Historical crowd reporting via the Wavestore Data Reporter module
Typical deployments: stadiums, transport hubs, airports, retail, public events, casinos. Metadata is searchable inside the VMS — operators can retrieve every high-density event for a shift in seconds.
Edge-Based vs Server-Side AI Video Analytics: Which Deployment is Right for You?
Choosing the right architecture for your AI video analytics deployment affects bandwidth, latency, scalability, and compliance. Wavestore supports both models — and lets you run them in parallel within the same system.
Edge-Based AI
With edge-based AI video analytics, inference runs directly on the camera hardware. Processing happens at the point of capture, before video ever travels across the network. This is the preferred model for:
Bandwidth-constrained sites— only metadata and alerts leave the camera, not full video streams
Low-latency response requirements— perimeter breach or intrusion triggers in milliseconds, locally
Remote or distributed deployments— branch sites, car parks, and unmanned locations that need autonomy
AI-driven video analytics camera applications— where per-camera intelligence (counting, ANPR, object classification) must run without a central server
Server-Side AI
Server-side AI video analytics processes video centrally on a dedicated Wavestore AI Analytics Server running on standard Linux VMS configurations. This model is suited for:
Large-scale deployments— a single server handles up to 115 deep learning channels simultaneously
Complex multi-zone behaviours— crowd formation, cross-camera tracking, and queue analytics that require context across feeds
Legacy camera estates— apply AI-driven video analytics to existing cameras without replacing hardware
Post-event forensic search— all classification metadata is ingested into the VMS timeline, enabling instant retrieval by event type, object class, or zone
Wavestore recommendation: Most enterprise deployments combine both. Edge cameras handle local detection at remote or perimeter sites; the central AI Server runs the deep learning workload for complex behaviour analysis, people tracking, and VMS-integrated search.
Why teams choose Wavestore Video Analytics
Inteligencia de vídeo en tiempo real para cualquier entorno
How Wavestore Compares to Other AI Video Analytics Platforms
The enterprise VMS market has four major AI-analytics platforms alongside Wavestore. Here's how they compare on architecture, licensing, and deployment.
Qué pedir
WA-VADLOPTDR-1
Analítica de seguimiento de objetos por aprendizaje profundo de Wavestore con informes en el panel
WA-VADLOT-8
WA-VADLOT-12
WA-VADLOT-25
WA-VADLOT-80
WA-VADLOT-115
Servidor de analíticas de vídeo DL de Wavestore para hasta 115 canales de analíticas de seguimiento de objetos por aprendizaje profundo
Descargas
Desbloquee el poder de las analíticas avanzadas
El VMS de Wavestore ofrece una sólida suite de funciones de analíticas, pero entendemos que sus necesidades pueden ser únicas. Deje que nuestros expertos le ayuden a diseñar una solución para maximizar su seguridad y eficiencia operativa.
