AI-Powered Video Analytics: Turn Cameras Into Faster, Connected Response

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.

Why teams choose Wavestore Video Analytics

Wavestore’s video analytics platform empowers security teams to detect, respond, and act faster than ever before. Designed for high-stakes environments, it delivers advanced video insights without complexity.

Use what you already have

Add advanced analytics without replacing your existing camera estate.

Reduce false alarms

Use deep learning object classification to focus operators on real events.

Trigger faster action

Connect analytics to VMS, access control, alarms, and intercoms.

Search evidence faster

Find the right footage in seconds with metadata-driven retrieval.

Real-Time Video Intelligence for Any Environment

From airports to retail stores, Wavestore adapts to your needs. Our real-time video analytics engine continuously monitors, detects, and classifies activities — giving you total situational awareness.

Monitor high-traffic areas and identify anomalies instantly

Detect intrusion, loitering, object left/removed, line crossing, and more

Use video analytics for retail stores to measure footfall and customer behavior

Improve safety and response times with instant visual alerts

With intelligent video analytics, security officers and integrators gain a powerful edge—no matter the environment.

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.

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How It Works: From Video Capture to Action

Detection only matters if it leads to action. Wavestore integrates with Wavestore VMS, access control, alarms, and intercoms so verified events can trigger coordinated workflows instead of just another notification.

Capture & Analyze: Connects directly to your existing CCTV system and runs real-time video analytics using edge or server-side processing.
Detect & Classify: Identifies predefined behaviors like motion, tampering, perimeter breach, and queues — powered by intelligent video analytics.
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

Metadata-driven search helps teams find the right footage fast, cutting investigation time and making every event easier to verify, report, and retrieve.

Search by event type
Filter by object class
Locate incidents faster
Reduce manual video review

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Video Analytics for Security

Strengthen your surveillance with AI-driven object detection, motion tracking, and event-based alerts. Wavestore's cloud video analytics solutions ensure quick response times and minimal false positives.

Video Analytics for Retail

Gain deeper insights into customer behavior to optimize store layouts, reduce shrinkage, and improve overall shopping experiences. Our intelligent video analytics help retailers make data-driven decisions with ease.

Video Analytics for Logistics

Monitor operations to detect inefficiencies and safety risks in real-time. Use advanced analytics to ensure compliance and streamline processes across the production line.

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 (Camera Analytics)

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 (VMS Analytics)

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

	Edge-Based Camera analytics · On-device	Server-Side VMS analytics · Centralised
Processing location	Local On-camera Inference runs at the point of capture	Centralised Wavestore AI Server Standard Linux VMS configuration
Network bandwidth	Low Metadata only Only events and alerts leave the camera	Higher Higher (video streams) Full feed routed to AI server
Latency	Best Milliseconds (local) No round-trip — response is immediate	Good Low (LAN-dependent) Sub-second on a well-provisioned network
Scalability	Modular Per camera Each camera scales independently	High Up to 115 ch/server Add servers for unlimited channel count
Deep learning models	Limited Camera-constrained Hardware limits model size and complexity	Full suite Full DL suite Skeleton tracking, crowd, QR, behaviour
Legacy camera support	Not supported New cameras required Edge AI requires compatible hardware	Supported Works with existing estate Add AI without replacing any cameras
Best for	Remote sites · ANPR · Counting Bandwidth-limited or unmanned locations	Enterprise VMS · Forensic search Large estates needing deep learning at scale

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.

What to order

WA-VADLOPTDR-1

Wavestore Deep Learning Object Tracking Analytic with Dashboard Reporting

WA-VADLOT-8
WA-VADLOT-12
WA-VADLOT-25
WA-VADLOT-80
WA-VADLOT-115

Wavestore DL Video Analytics Server for up to 115 Deep Learning Object Tracking Analytics Channels

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Wavestore brochure titled 'Going beyond security: Harnessing the power of Video Analytics' highlighting their Video Management System with AI-powered video analytics for operational improvement and customer experience, with icons representing features like Zones, Tamper Detection, Object Tracker, Counting, QR reader, Fall Detection, and Aggressive Behaviour.

Wavestore Video Analytics Brochure

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Product datasheet page titled Video Analytics, featuring an overview of Wavestore video analytics capabilities with a background image of a busy security control room.

Wavestore Video Analytics Datasheet

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Product datasheet for Wavestore AI Based Analytics Server showing a hardware device and listing features including video analytics deployment, machine learning algorithms, metadata streaming, and forensic search capabilities, along with AI and forensic search feature icons.

Wavestore AI Server Datasheet

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Wavestore Analytics Server Configuration Manual

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Unlock the Power of Advanced Analytics

Wavestore VMS offers a robust suite of analytics features, but we understand your needs might be unique. Let our experts help you tailor a solution to maximize your security and operational efficiency.

Don't settle for generic - Speak to our Analytics Specialists Today!

Frequently Asked Questions

What is AI-Powered Video Analytics?

Wavestore Video Analytics is an AI-powered intelligence engine that transforms standard video footage into actionable security and operational data. It uses deep learning object classification to detect behaviours like intrusion, loitering, and object abandonment — filtering out false alarms and triggering automated responses via the Wavestore VMS.

Do I need to replace my existing cameras to use Wavestore analytics?

No. Wavestore Video Analytics works with your existing IP camera infrastructure. Analytics processing can run server-side on a dedicated Wavestore AI Server, meaning your current cameras continue to provide the video feed without replacement. For new installations, Wavestore Vision cameras offer built-in edge analytics for an all-in-one solution.

What is the difference between edge analytics and server-side analytics?

Edge analytics processes video directly on the camera, reducing network bandwidth and enabling faster local responses. Server-side analytics runs on a centralised Wavestore AI Server, which can handle more complex deep learning models across many camera channels simultaneously. Wavestore supports both deployment methods, and they can be combined within the same system.

How does Wavestore reduce false alarms?

Wavestore uses deep learning object classification to distinguish between genuine security events and harmless triggers like shadows or weather conditions. Only verified events — such as a person breaching a perimeter or an object left unattended — generate alerts. This dramatically reduces false positives and ensures operators focus on real threats.

Can Wavestore analytics be used for non-security purposes like retail or logistics?

Yes. Beyond security, Wavestore Video Analytics provides operational intelligence for retail (customer flow analysis, queue management, shrinkage reduction), logistics (warehouse efficiency monitoring, compliance auditing), and facilities management (occupancy tracking, space utilisation). Analytics metadata is searchable within the VMS, so the same system serves both security and business intelligence needs.

What types of objects and behaviours can Wavestore detect?

Wavestore's deep learning engine classifies objects including people, vehicles, and specific items. Detectable behaviours include perimeter breach, loitering, object abandonment, crowd formation, direction violation, speed threshold exceedance, and zone occupancy. Custom rule-based alerts can be configured to trigger on any combination of object type, behaviour, zone, and time schedule.

How many analytics channels can a single Wavestore AI Server support?

A single Wavestore AI Server supports up to 115 deep learning object tracking analytics channels. For deployments requiring more channels, additional AI Servers can be added and managed centrally through the Wavestore VMS. Server models are available in configurations for 8, 12, 25, 80, and 115 channels.

Does Wavestore Video Analytics support facial recognition?

Yes. Wavestore supports facial recognition as part of its unified intelligence suite. Face detection and matching can be used for watchlist alerting, VIP identification, or access verification — with metadata logged and searchable within the VMS timeline. Facial recognition capabilities are subject to local privacy regulations and should be deployed in accordance with applicable laws.

How is analytics metadata integrated with the Wavestore VMS?

All analytics events — whether generated at the edge or on the server — are ingested as searchable metadata within the Wavestore VMS. Operators can filter and retrieve video by event type, object class, zone, or time. For example, searching "show all perimeter breaches in Zone A between 10pm and 6am" returns only the relevant clips, eliminating hours of manual review.

Is Wavestore Video Analytics licensed separately from the VMS?

Yes. Video Analytics is licensed as an add-on module to the Wavestore VMS. The Deep Learning Object Tracking analytic is ordered per channel, and a Wavestore AI Server is required for server-side processing. Wavestore Vision cameras with built-in analytics include edge processing at no additional analytics licence cost. Contact Wavestore for a tailored quote based on your channel count and deployment model.

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