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AI-Powered Video Analytics That Turn Cameras
Into Intelligent Security Sensors

Move beyond passive recording — detect, alert, and respond in real time with AI video intelligence.

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Layerix monitoring wall with AI analytics screens

What is Video Analytics?

Video analytics uses artificial intelligence and computer vision to automatically analyse camera feeds in real time. Instead of passively recording footage for later review, AI processes every frame — detecting people, vehicles, objects, and behaviours. When an event matches your rules (intrusion, loitering, line crossing), the system alerts your security team immediately. It turns every camera into an intelligent sensor.

Before/after: dumb CCTV vs AI analytics enabled

The Passive Camera Problem

📼

90% of footage is never reviewed

Security teams cannot watch every feed 24/7. Recorded footage sits on NVRs until an incident occurs — and by then, critical context is often lost.

👁️

Human operators miss 45%+ of events

After 20 minutes of monitoring 16+ feeds, attention drops sharply. Most intrusions and suspicious behaviour go unnoticed in real time.

⏰

Incidents discovered hours later

Without real-time alerts, a perimeter breach or theft may only be found during the next patrol or shift change — too late to respond.

What Video Analytics Enables

🚧

Intrusion / Line Crossing

Detect people or vehicles entering restricted zones

🔄

Loitering Detection

Alert when individuals remain too long in sensitive areas

👥

Crowd Density Monitoring

Prevent overcrowding in lobbies, retail, or transit hubs

📦

Abandoned Object Alert

Detect unattended bags, packages, or suspicious items

📊

People Counting & Heat Mapping

Understand foot traffic and peak hours for resource planning

😀

Facial Recognition (opt‑in)

Identify known persons on watchlists (consent required)

🚗

License Plate Detection

Record and alert on specific vehicles entering premises

🪖

PPE / Safety Compliance

Detect missing hard hats, vests, or masks in industrial zones

Edge vs Server‑Side Analytics

Edge AI Cameras

Analytics processed inside the camera — no video stream sent to a central server.

Best for:

Bandwidth‑limited sites (remote locations, low internet)
Privacy‑sensitive areas (no video leaves the device)
Sites with 20 cameras

Examples:

Retail stores, construction trailers, temporary sites

Server‑Side Analytics

Central GPU server processes feeds from many cameras — more complex models, historical analytics.

Best for:

Large camera counts (50–500+ cameras)
Existing non‑AI cameras (no edge upgrade needed)
Complex analytics (facial recognition, heatmaps over time)

Examples:

Warehouse complexes, corporate campuses, airports

Scope of Work — Layerix Analytics Deployment

1Analytics engine selection (edge / server / hybrid)

2Camera compatibility assessment — existing or new cameras

3Zone and rule configuration (define virtual tripwires, intrusion areas, loitering time)

4Alert channel setup (email, SMS, mobile app push, VMS pop‑up)

5VMS / PSIM integration (Milestone, Genetec, Avigilon, or open platform)

6Operator training and runbook documentation (how to verify alerts, escalate incidents)

Industry Use Cases

🛍️

Retail

Footfall heatmaps, queue length analytics, shelf out‑of‑stock detection, dwell time in high‑value aisles

🏭

Industrial

PPE compliance (hard hats, vests), zone access control, heavy equipment intrusion detection, safe distance monitoring

🏢

Corporate

Tailgating detection at access points, occupancy monitoring for office space planning, unauthorised entry alerts after hours

📦

Logistics

Vehicle dwell time at loading docks, gate entry/exit analytics, trailer position monitoring, yard management

Real Analytics Deployments

Every photo is from an actual Layerix video analytics project — 100% in‑house.

Layerix engineer at analytics server rack – Mumbai

Multi‑screen monitoring station with live alerts – Bengaluru

Camera field‑of‑view zone planning on laptop at client site – Chennai

Client Success Story

Industrial / WarehousePune

Challenge: 45‑acre logistics park with perimeter intrusions (theft of copper cables) – guards could not cover all zones 24/7.

Solution: 48 edge‑based AI cameras with intrusion detection, 4 server‑side analytics nodes for cross‑camera tracking, integration with central PSIM.

Outcome: Intrusion alerts reduced false alarms by 85% (from motion sensors), two attempted breaches detected in real time, theft stopped completely.

Frequently Asked Questions

Do my existing cameras support video analytics?▼

Most IP cameras from 2018 onward support edge analytics (if they have onboard processors). Even older cameras can be used with server‑side analytics — we ingest any RTSP stream. We perform a compatibility assessment free of charge.

Is edge analytics better than server‑based?▼

Edge is better for low bandwidth, privacy, and smaller sites. Server‑side is better for large camera counts, complex analytics (facial recognition, historical heatmaps), and when you cannot replace existing cameras. Many clients use a hybrid approach.

How accurate are AI‑based intrusion detection systems?▼

Under good conditions (adequate lighting, proper camera placement), modern AI models achieve 95‑99% accuracy for human/vehicle detection. False positives (shadows, animals, rain) can be reduced with zone configuration and sensitivity tuning — we do this during deployment.

Will analytics work in low‑light or night conditions?▼

Yes, if your cameras have good IR illumination or low‑light sensors. AI models are trained on night footage. For challenging conditions, we recommend thermal cameras or add external IR lighting.

How are analytics alerts delivered — app, SMS, or email?▼

We configure all three. Operators receive push notifications on mobile app (iOS/Android), email digests, and SMS for high‑priority intrusions. Alerts can also appear directly in your VMS.

Is video analytics data stored locally or on the cloud?▼

Layerix deploys on‑premise analytics only — no cloud dependency. All video processing and metadata stay within your network. You control retention, access, and storage.

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✧ 100% in‑house · no subcontracting ✧

AI-Powered Video Analytics That Turn CamerasInto Intelligent Security Sensors