How It Works

How Nigahban Protects Your Building

From your existing CCTV to instant fire alerts. Here is exactly how Nigahban works, step by step.

Setup

Four Steps to Protection

Getting started with Nigahban is simple. No new cameras, no construction, no downtime.

01

Assess Your CCTV Setup

We evaluate your existing camera infrastructure: brand, model, positioning, and network setup. Nigahban works with any IP camera that supports RTSP or ONVIF protocols, including Hikvision, Dahua, Axis, and more.

No new cameras needed. If your CCTV is already recording, it can work with Nigahban.

02

Connect to Nigahban

Our team configures the RTSP streams from your cameras into the Nigahban system. This takes under an hour for most setups. The system connects to your existing NVR or directly to individual IP cameras.

On-premises deployment means your video feeds never leave your building.

03

AI Starts Monitoring

Once connected, Nigahban begins analyzing every frame in real time. Our proprietary AI engine runs continuous detection, identifying fire, smoke, and thermal anomalies across all connected cameras simultaneously.

The system runs 24/7 with zero human intervention required.

04

Get Alerts Instantly

When a threat is detected, alerts fire within seconds across your chosen channels: WhatsApp, Email, Telegram, or Voice Call. Each alert includes a captured frame, camera location, and timestamp.

Configure who gets alerted, how, and for which cameras, all from the dashboard.

Pipeline

From frame capture to your phone

One ingest. One AI engine. Three guaranteed dispatch channels.

Camera Nigahban AI W WhatsApp Group blast @ Email Frame attached T Telegram Bot push Camera Nigahban AI W WhatsApp Group blast @ Email Frame attached T Telegram Bot push
  1. 1 Capture every frame
  2. 2 Verify in dual-layer AI
  3. 3 Dispatch in under 3 seconds

Inside an alert

From frame to phone in 1.6 seconds

Every detection rides this exact pipeline. The numbers below come from production traces, not marketing.

End to end in 1.6 seconds

Sample timeline based on production traces.

  1. Frame captured

    T+0ms

    CCTV stream

  2. AI analysis complete

    T+800ms

    Detection engine

  3. Threshold triggered

    T+1100ms

    Confidence gate

  4. WhatsApp dispatch

    T+1400ms

    WhatsApp

  5. Email dispatch

    T+1500ms

    Email

  6. Telegram dispatch

    T+1600ms

    Telegram

  7. Operator acknowledged

    T+2m 11s

    Dashboard

N

Nigahban Alerts

online

Smoke detected on CAM-03 at Lucky One Mall. Frame captured 14:22:08. Tap to acknowledge.

14:22:08

Inbox

2m ago

N

Nigahban Alerts

alerts at nigahban360.com

[ALERT] Smoke detected at Lucky One Mall

Camera CAM-03 flagged smoke detected at 14:22:08. Frame attached. Acknowledge from the dashboard.

N

Nigahban Alerts

channel

Smoke detected on CAM-03 at Lucky One Mall. Frame captured 14:22:08. Tap to acknowledge.

14:22:08

Real Scenarios

See Nigahban in Action

Real-world scenarios showing how Nigahban protects different types of buildings across Karachi.

Textile Factory in SITE Area

Problem

Night shift with minimal supervision. A machine overheats near a stack of raw cotton bales. No workers in that section notice.

Solution

Nigahban detects early smoke rising from the machine area through the factory CCTV.

Outcome

WhatsApp alert sent to the shift supervisor within 2 seconds, with a frame capture showing exactly which machine and area. Fire contained before it spreads to inventory.

Korangi Warehouse

Problem

Chemical storage area. A short circuit ignites flammable materials in a section with limited foot traffic. Nobody is nearby.

Solution

Nigahban identifies flames across multiple camera angles, cross-verifying the detection for maximum confidence.

Outcome

Email alert with frame captures from two cameras sent to the facility manager and the fire safety officer. Emergency response initiated within minutes.

Lucky One Mall

Problem

Food court kitchen produces steam and cooking fumes throughout the day. Traditional smoke detectors would trigger constant false alarms.

Solution

Nigahban distinguishes between normal cooking steam and actual fire or hazardous smoke, reducing false positives.

Outcome

When a real kitchen fire breaks out, the system correctly identifies it and sends an evacuation alert, while ignoring the routine steam all day.

FAQ

Frequently Asked Questions

Everything you need to know about getting started with Nigahban.

What cameras are supported?

Any IP camera that supports RTSP or ONVIF protocols. This includes all major brands: Hikvision, Dahua, Axis, Uniview, and many more. If your camera is currently recording to an NVR, it will work with Nigahban.

How fast is detection?

Under 3 seconds from the moment flame or smoke appears to the alert reaching your phone. Our dual-layer AI verification ensures speed without sacrificing accuracy.

Do I need new hardware?

No. Nigahban works with your existing CCTV cameras and network. We deploy our processing unit on-premises or in the cloud. Your cameras stay exactly where they are.

What if internet goes down?

Our on-premises deployment option processes everything locally. If connectivity drops, alerts are queued and delivered the moment the connection is restored. Your protection never stops.

How do I get started?

Book a free demo. We will connect to one of your cameras live and show you Nigahban detecting fire in real time. No commitment, no setup fee for the demo.

Ready to See It Live?

Book a free demo. We will connect to your cameras and show you Nigahban in action.