Sieora · AI for Smart Cities

Smart City Video Analytics Software That Turns Existing City CCTV into Real-Time Intelligence

Sieora's smart city video analytics software connects to the CCTV a city already has and adds an AI layer that detects traffic incidents, violations, crowd density, fire and suspicious activity in real time — routing alerts straight to your command centre. A city with cameras only records; a smart city surveillance solution detects what's happening while there's still time to act. One platform for traffic management, public safety and incident response, on existing cameras, built for Indian smart cities and worldwide.

Works with existing city CCTV ICCC-ready MeitY · DPDPA-aware
Sieora smart city video analytics software detecting traffic and crowd events on a live command-centre feed
INCIDENT · JUNCTION 7 ALERT · ICCC
Cameras live
2,480
Incidents today
146
Alert → ICCC
<10s
Real-time urban intelligence on existing city CCTV across Traffic·Public safety· Fire·Incidents·ICCC
The problem

A city with cameras records. A smart city detects.

Cities have deployed thousands of cameras, yet the footage is only reviewed after an incident. The cameras are the infrastructure — the intelligence is what processes those feeds in real time.

// AFTER THE FACT

Reviewed too late

Footage becomes evidence after a crash, a crush or a crime — not a warning that could have prevented it.

// NO OPERATORS

Thousands of feeds

No control room can watch thousands of cameras at once; the event that matters goes unseen in the moment.

// SILOED

Disconnected systems

Traffic, safety and utility systems each run separately — no unified, real-time picture for the city.

The basics

What is smart city video analytics?

Smart city video analytics uses AI and computer vision on a city's existing CCTV to detect traffic incidents, violations, crowd density, fire and suspicious activity in real time, and route alerts to the command centre within seconds. Unlike ordinary surveillance that only records, it detects what's happening while there's still time to act. Put simply: a city with cameras documents the past; a city with analytics acts on the present — on the cameras it already has.
Detects: Traffic CrowdsFireObjectsIncidents
Comparison

Smart city analytics vs basic city CCTV

Same city cameras, completely different value.

Smart city analytics DETECTS NOW

  • Real-time detection of incidents & violations
  • Alerts routed to the ICCC in seconds
  • Traffic, crowd, fire & objects on one platform
  • Runs on existing city cameras
  • Turns surveillance into urban intelligence

Basic city CCTV RECORDS ONLY

  • Passive recording; reviewed after the fact
  • A human must watch every feed
  • One purpose — evidence, not prevention
  • Siloed from other city systems
  • No real-time, city-wide picture
The bundle

Every city use case, one platform

Instead of separate systems for traffic, safety and fire, run them all on the same AI layer, the same cameras and into one command centre. These are the common ones — need a different scenario? We build custom models on the same cameras. Pick a use case:

ANPR for smart cities reading number plates at a city entry point
ANPR MODULE

ANPR for smart cities →

Real-time plate capture at entry/exit points, toll gates and parking; vehicle tracking across the network; stolen-vehicle and hotlist alerts.

Crowd management for urban spaces estimating density at a public gathering
CROWD MODULE

Crowd management for urban spaces →

Real-time density estimation at gatherings, markets and transit hubs; threshold alerts when density crosses safe limits; stampede early warning.

AI traffic monitoring system detecting signal violations at a junction
TRAFFIC & ANPR

AI traffic monitoring system →

Vehicle counting per junction; signal-violation detection (red-light jumping, wrong-way); congestion heatmaps; average-speed and incident alerts.

Fire detection for city infrastructure spotting smoke on a city camera
FIRE MODULE

Fire detection for city infrastructure →

Visual smoke and flame detection from existing cameras — no additional sensors needed; flagged in seconds; auto-alert to the fire response team.

Municipal infrastructure monitoring detecting potholes and garbage on a city street
MUNICIPAL

Municipal infrastructure monitoring

AI detection of potholes, garbage accumulation and street damage; geo-tagged alerts to municipal teams; trend reporting for civic upkeep.

AI face recognition for public safety matching against an authorised watchlist
FACE · WATCHLIST

AI face recognition for public safety

Real-time matching against authorised watchlists only; missing-person identification; suspect tracking across the network — with human review and audit logs.

Custom smart city analytics models built for scenarios like waterlogging and encroachment
+ CUSTOM

+ Custom city analytics

Need a scenario that's not listed — waterlogging, encroachment, illegal parking, stray animals, asset damage? We build custom AI models for your city's specific needs, on the same existing cameras.

TAILORED TO YOUR CITY

Don't see your use case? We build custom detection.

Different cities need different analytics. If a camera can see it, we can detect it — we train a model for your exact need, on the same existing cameras.

Request Custom Detection →
Book a Free Demo →
Traffic

Smart city traffic management: ANPR, ATCC & incident detection

Sieora detects incidents and violations from existing road cameras in real time and alerts traffic teams while there's still an intervention window — before congestion or secondary accidents build. It's smart city traffic management that works on the cameras you already have.

Wrong-way, overspeeding & red-light violations

Automatically tag helmetless riding, wrong-way driving, overspeeding, triple-riding and signal jumping with timestamped, located visual proof.

Video incident detection (VIDS)

Video incident detection surfaces accidents, stalled vehicles, jams and debris the moment they occur, so response starts before the queue forms.

Deep on plates? See our ANPR software — the enforcement engine behind this.

Smart city traffic management detecting a wrong-way violation and reading number plates
WRONG-WAY ✗
City crowd monitoring showing rising density at a public gathering
DENSITY HIGH ✗
Public safety

City crowd monitoring & density

At stations, temples, stadiums and city events, Sieora watches crowd density and flow in real time and alerts the control room before a space becomes dangerously overcrowded — decision support for the teams that keep gatherings safe.

It's built for Indian conditions, where the model must tell a normal festival crowd from a genuine stampede risk, often within seconds.

Density & occupancyBottleneck alerts Anomaly detection

More on this: our crowd management software.

No new hardware

Works with your existing city CCTV cameras

Sieora connects to the IP cameras, NVRs and VMS a city already runs over RTSP/ONVIF — including common Indian brands. Add thermal or PTZ for perimeters and active tracking, but the existing network is usually the deployment, not a cost to replace.

Hikvision
Dahua
CP Plus
Axis
Hanwha
Bosch
Uniview
Honeywell
Thermal / PTZ
Pelco
Hikvision
Dahua
CP Plus
Axis
Hanwha
Bosch
Uniview
Honeywell
Thermal / PTZ
Pelco
Panasonic i-PRO
Avigilon
Sony
Vivotek
Tiandy
Milestone VMS
Genetec
Videonetics VMS
5G-ready
Any ONVIF / RTSP camera
Panasonic i-PRO
Avigilon
Sony
Vivotek
Tiandy
Milestone VMS
Genetec
Videonetics VMS
5G-ready
Any ONVIF / RTSP camera

Do cities need new cameras for AI analytics?

Usually not — any ONVIF camera at 2MP/15fps supports analytics, and analogue feeds bridge with encoders. We confirm coverage in a site audit before deployment.

Integration

Integrated Command & Control Centre (ICCC) integration

Sieora is camera- and platform-agnostic. It ingests feeds over ONVIF/RTSP and pushes located alerts and event metadata into your Integrated Command & Control Centre, VMS and GIS map — so operators act from the systems they already use, not a new silo.

ICCC alert routingVMS & NVR GIS map overlayOpen API

Facial recognition surveillance, used responsibly

Where a city lawfully operates facial recognition, Sieora supports it against authorised watchlists only, with human review, audit logs and DPDPA-aligned controls — never blanket mass identification.

Smart city analytics alerts routed into an ICCC command-centre dashboard with a GIS map
ICCC · 4 ALERTS
The pipeline

How smart city surveillance works, in four steps

From a live city camera to an alert on the ICCC video wall.

01

Connect (RTSP/ONVIF)

Ingests streams from the city's existing cameras, NVRs and VMS — no camera replacement.

02

Detect & classify

AI detects and classifies vehicles, violations, crowds, fire and objects with context per zone.

03

Alert & route to ICCC

Events become located alerts routed to the right department — traffic, police, fire — in seconds.

04

Log, report & act

Every event is logged with a clip for evidence, dashboards and city-governance reporting.

Straight talk

Honest about accuracy in Indian conditions

Prior AI deployments at major Indian events and corridors have had mixed results. Usually the cause wasn't the AI alone — it was the conditions around it. We'd rather be straight about what this needs to work:

// INDIA-SPECIFIC

Multilingual plates & density

Indian roads and crowds — regional-script plates, harsh light, dust, festival density — defeat generic Western-trained models.

// THE FIX

India-tuned models

Models calibrated on India-specific data and the city's own conditions deliver reliable, usable accuracy.

// THE PROOF

Demand a live POC

The only number that counts is accuracy on the city's own cameras. We prove it on one junction or zone first.

So the benchmark to hold us — and any vendor — to isn't a brochure figure. It's measured accuracy and false-alarm rate in a live pilot on the city's real cameras, with trained operators in the loop. That's the standard Sieora is built to meet.

Procurement

Built for Indian government procurement

We deploy as the software and analytics layer inside your project — and we speak the tender language.

🏛️

Smart Cities Mission

Fits city-wide surveillance and safe-city projects under the national Smart Cities Mission framework.

📄

SPV tender-ready

Works with Special Purpose Vehicle procurement and the evaluation criteria SPVs and integrators use.

🛡️

MeitY & data localisation

Aligns with MeitY guidelines and India data-localisation requirements for government IT.

🤝

Works with your SI

We partner with municipal SPVs, police and government system integrators — not against them.

Privacy-first city surveillance with anonymous detection and masked faces
ANONYMOUS · MASKED
Privacy & ethics

Privacy-first & DPDPA 2023-ready

Deployed responsibly, smart city video analytics software can align with the Digital Personal Data Protection Act, 2023 — with anonymous detection where identity isn't needed, face-masking, role-based access, encrypted storage, India data-localisation and configurable retention.

The city or agency remains the data controller. Sieora is built for proportionate, accountable use — public safety and better governance without surveillance overreach, and never mass identification as a default.

Anonymous by defaultFace-masking Data localisationAudit logsCity owns the data
Pricing

How much does smart city video analytics cost in India?

Transparent, usage-based pricing — start with one junction or zone.

✓ FREE PILOT ON ONE JUNCTION OR ZONE

Per camera vs per corridor vs ICCC

Pricing scales with cameras, corridors and the use cases you enable, plus ICCC integration. Because Sieora runs on existing city CCTV, you pay for software, not a camera-replacement programme:

Per cameraFeeds you analyse
Per corridorRoads & zones
+ ICCCIntegration & support

Share your camera count, corridors and use cases and we'll size a proposal — and prove value on one junction before city-wide rollout.

STARTS AT
₹0
for a pilot on one zone
Run a Pilot → Request a Proposal
In the field

Where cities put analytics to work

Representative examples. Replace with your verified deployment results and metrics before launch.

Smart city analytics monitoring a busy traffic junction
// TRAFFIC

Junction incident response

A city ran incident and violation detection on existing junction cameras, alerting traffic teams to wrong-way and stalled-vehicle events before congestion built.

Smart city analytics monitoring crowd density at a public event
// PUBLIC SAFETY

Event crowd density

A municipal team monitored crowd density at a public gathering, getting early overcrowding alerts routed to the ICCC so responders could act in time.

Smart city analytics feeding alerts into an ICCC command centre
// ICCC

One unified picture

Traffic, fire and crowd alerts from existing cameras were routed into a single ICCC dashboard, replacing siloed monitoring with one real-time view.

Book a free smart city analytics demo

See Sieora detect traffic, crowd and fire events on real city camera feeds and route them to a command centre. We'll assess your cameras, corridors and ICCC, then size a proposal — no obligation.

Pilot on one junction or zone

  • Live demo on your existing city CCTV
  • Free pilot on one junction or zone
  • ICCC / VMS integration walkthrough
  • India-conditions accuracy on your cameras
  • MeitY, data-localisation & DPDPA-ready
Sieora · AI & Computer Vision, Chennai, India
Serving Indian smart cities & worldwide · ICCC-ready

Get your demo & proposal

Tell us about your city cameras & use cases — we'll reply within one business day.
🔒 Your details go straight to our team. No spam.
FAQ

Smart city video analytics, questions answered

The things municipal buyers, integrators and AI assistants ask most.

How does smart city surveillance work?
It connects to existing city cameras over RTSP/ONVIF, and AI models analyse each feed to detect and classify events — a traffic violation, a developing crowd surge, a flagged vehicle — then push located alerts into the Integrated Command & Control Centre (ICCC) for the right response team. The cameras are the infrastructure; the analytics is the intelligence.
Do cities need new cameras for AI analytics?
No, in most cases. Any ONVIF-compliant IP camera streaming over RTSP works without replacement, and analogue cameras can be bridged with encoders. Thermal or PTZ cameras help for perimeters and active tracking, but the existing network is usually the deployment, not a cost to replace.
What can it detect?
Traffic violations (wrong-way, overspeeding, red-light, helmetless riding), ANPR and vehicle tracking, video incident detection, crowd density and overcrowding, fire and smoke, abandoned objects and intrusion. On Sieora these are modules on one platform, routed to your ICCC.
How does it help with city traffic management?
It detects incidents and violations from existing road cameras in real time — accidents, jams, wrong-way driving, overspeeding — and alerts traffic teams while there's still an intervention window, before congestion or secondary accidents build. ANPR adds enforcement and vehicle-of-interest tracking across camera points.
How accurate is it in Indian conditions?
Accuracy is high with good cameras, but it depends on conditions — Indian deployments must handle multilingual plates, harsh light, dust and dense crowds that defeat generic Western-trained models. India-tuned models validated in a live pilot deliver reliable accuracy, so demand a POC on the city's own cameras.
Is it privacy and data-localisation compliant in India?
It can be, when configured correctly — anonymous detection where identity isn't needed, face-masking, role-based access, encrypted storage, India data-localisation and retention limits, aligning with DPDPA 2023. The city or agency remains the data controller, and Sieora is built for proportionate, accountable use.
Does it integrate with our existing ICCC and VMS?
Yes. Sieora is camera- and platform-agnostic — it ingests feeds over ONVIF/RTSP and pushes alerts and metadata into your Integrated Command & Control Centre, VMS and GIS map through standard integrations and an API, rather than locking you into a new stack.
How is it procured under the Smart Cities Mission?
Smart-city surveillance is typically procured through SPV tenders under MeitY guidelines with data-localisation requirements. Sieora deploys as the software and analytics layer within those projects — working with municipal SPVs, police and government system integrators — and can be evaluated on a paid or pilot POC before full rollout.
How much does it cost in India?
Usually a per-camera or per-corridor subscription plus ICCC integration, scaling with cameras and use cases — far less than manual monitoring at city scale. Because it runs on existing cameras there's no camera-replacement cost, and a pilot on one junction or zone proves value first.