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Security · Velozity perspectives

AI-powered CCTV: making existing cameras intelligent

Add AI video analytics to your existing CCTV cameras without replacement. Intrusion detection, crowd counting, PPE monitoring, and fire alerts from edge AI devices.

Security
Velozity perspectives.

Your cameras are watching. Nobody is analysing.

Most businesses have CCTV cameras installed. Very few are getting intelligence from them. Security guards monitoring 20+ feeds suffer attention fatigue within 20 minutes. Critical events are missed in plain sight, and footage is only reviewed after incidents.

The gap is not in recording, it is in analysis. Your cameras capture everything. The question is whether anyone or anything is watching in real time.

Edge AI: intelligence without cloud dependency

Edge AI devices plug into your existing cameras or NVRs and run video analytics on-site. No footage goes to the cloud, no bandwidth costs, no privacy concerns. Detection happens in under 50 milliseconds.

These devices connect via standard ONVIF or RTSP protocols, meaning they work with virtually any IP camera you already own. No rip-and-replace. Your existing camera investment is protected.

Alerts are delivered via SMS, email, WhatsApp, or webhook to your security team, supervisors, or building management system. You choose which events trigger which channels.

Use cases beyond security

Intrusion and perimeter breach detection is the obvious application. But AI video analytics extends far beyond security. Crowd counting and occupancy monitoring for retail stores and public spaces. PPE compliance for factories and construction sites.

Vehicle and license plate recognition for gated communities and logistics yards. Smoke and fire early warning that detects threats faster than traditional smoke detectors in large open spaces.

Loitering and dwell-time analysis for retail to understand customer behaviour. Queue length monitoring for banks and service centres to optimise staffing.

Choosing between edge and server-based analytics

For single sites with up to 16 cameras, a compact edge AI box is the most cost-effective option. It draws under 25 watts, requires no server room, and deploys in hours.

For large campuses or multi-site deployments with 50+ cameras, a centralised on-premise server with multiple GPU cards provides better economics and centralised management.

The decision depends on camera count, detection complexity, and whether you need a single dashboard across multiple locations.

Related products

Edge AI Box · CCTV OS · Factory Safety Detector

Want smarter cameras?

Velozity's Edge AI Box adds intelligence to your existing CCTV system. No camera replacement needed.

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Related product

This guide relates to CCTV OS — see how it works, pricing, and results.

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