Sieora
Sieora · AI Footfall Analytics

People Counting Software That Turns Your Existing CCTV into Footfall Analytics

Sieora's people counting software turns the CCTV cameras you already own into a real-time footfall and occupancy dashboard — counting every visitor in and out, measuring how long they stay, and showing you conversion at a glance. No new sensors at every door. No manual clickers or end-of-day guesswork. Built for retail chains, malls, offices and public spaces across India and worldwide.

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✓ Works with existing CCTV ✓ 95%+ accuracy ✓ DPDPA 2023 ready
Sieora people counting software showing a live footfall count on a retail store CCTV feed
IN 1,248 ✓ TODAY OCCUPANCY 86
Footfall today
1,248
Conversion
24%
In store now
86
Trusted for footfall & occupancy analytics across Retail Chains·Malls· QSR·Offices·Public Venues
The problem

Manual headcounts and clickers don't scale

Hand tallies are inconsistent, sensors at every door are expensive, and without reliable numbers you're staffing, merchandising and reporting on guesswork.

// GUESSWORK

Staffing blind

Without real footfall by hour, you can't match staff to peaks — so queues build or staff stand idle.

// NO CONVERSION

Traffic vs sales unknown

If you don't know how many walked in, you can't calculate the store conversion rate that actually drives revenue.

// NO VISIBILITY

Blind across stores

Comparing outlets, entrances and campaigns is impossible when every location counts differently, or not at all.

The basics

What is a people counting system?

A people counting system uses AI and computer vision to automatically count how many people enter, exit, or occupy a space using camera feeds. It turns raw video into real-time footfall, occupancy and dwell-time data on a dashboard, and can calculate your store conversion rate against sales. Sieora runs it on the CCTV cameras you already have — no dedicated sensor at every door.
Measures: Entries ExitsLive occupancyDwell time Zone trafficPeak hoursConversion rateTimestamps
Use cases

Where teams use people counting

The same AI counts visitors, tracks occupancy and maps movement — then turns it into the metric each team cares about. Here's where it's deployed across India and worldwide. These are the common ones — need a different scenario? We build custom models on the same cameras.

People counting on a retail store entrance CCTV counting shoppers in and out
IN 342 · CONV 26%

Retail people counting

Count shoppers in and out, calculate conversion against POS sales, and staff to peak hours — the core of retail people counting.

People counting tracking footfall across a shopping mall atrium
ATRIUM · 1,204/hr

Shopping malls

Measure entrances, atriums and tenant zones to benchmark stores, prove footfall to tenants and plan events.

People counting monitoring queue and footfall in a quick service restaurant
QUEUE 6 · WAIT 3m

QSR & restaurants

Track counter queues and dining footfall to speed up service, schedule shifts and measure promo impact.

Occupancy monitoring counting people in an office workspace
OCCUPANCY 148

Offices & workplaces

Real-time occupancy monitoring for desks, meeting rooms and cafeterias — right-size space and utilities.

People counting managing crowd capacity at an event venue entrance
CAPACITY 92%

Events & public venues

Live crowd counts and capacity alerts for exhibitions, museums and public spaces — safety and planning in one view.

People counting measuring passenger flow at an airport terminal
LANE 3 · FLOW OK

Airports & transit

Monitor passenger flow at check-in, security and gates to open counters before queues form.

Custom AI detection models built for a site's specific needs on existing cameras
+ CUSTOM

+ Custom analytics

Need something not listed — queue length, dwell time, zone occupancy, group vs individual counting? We train custom AI models for your specific needs, on the same existing cameras.

TAILORED TO YOUR SITE

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

Different sites need different analytics. If a camera can see it, we can detect it — we train a model for your exact need.

Request Custom Detection →

Tuned for Indian retail — every store format

Narrow entrances, glass doors, bright sunlight, crowded festival-day traffic, staff walking in and out — Indian stores are hard to count. Sieora tunes the model to your real entrances and applies staff exclusion, so the numbers your managers see are ones they can trust.

Narrow & wide entrancesBright sunlight / glass doorsHigh festival-day density Staff exclusionAdults vs childrenMulti-store rollout
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No new hardware

Works with your existing CCTV cameras

Sieora counts people from the IP and CCTV cameras you already have over RTSP/ONVIF. In most stores you don't need to buy a dedicated people counting camera at all.

Hikvision
Dahua
CP Plus
Axis
Hanwha
Bosch
Uniview
Honeywell
Vivotek
Pelco
Hikvision
Dahua
CP Plus
Axis
Hanwha
Bosch
Uniview
Honeywell
Vivotek
Pelco
Panasonic i-PRO
Avigilon
Sony
Reolink
Tiandy
Milestone VMS
Genetec
Samsung
Lorex
Any ONVIF / RTSP camera
Panasonic i-PRO
Avigilon
Sony
Reolink
Tiandy
Milestone VMS
Genetec
Samsung
Lorex
Any ONVIF / RTSP camera

Already have cameras at the entrance? Do I need a special people counting camera? Usually not — an overhead or angled entrance view with good lighting matters more than the brand. We'll confirm on your feed during the demo.

The pipeline

How people counting works, in four steps

From a live camera frame to a footfall figure on your dashboard in real time.

01

Capture

Connects to your existing IP/CCTV camera over RTSP and reads the entrance or zone you want to measure.

02

Detect & track

AI detects each person and tracks their path, distinguishing people from carts, bags and reflections.

03

Count in / out & zones

Counts entries and exits across a line and movement between zones, with staff excluded from the totals.

04

Analyze

Streams live footfall, occupancy, dwell time and conversion to a dashboard you can see from anywhere.

Do I need a special people counting camera?
No — in most stores and entrances an existing IP or CCTV camera works, as long as it has a clear overhead or angled view of the doorway with reasonable resolution and lighting. A dedicated overhead people counting camera or 3D sensor only helps at very wide or extremely busy entrances. We confirm what your site needs during the free demo.
Comparison

Camera-based vs dedicated sensor people counting

The question every buyer weighs. Here's the honest trade-off.

Software on existing CCTV RECOMMENDED FOR MOST

  • No new hardware — reuses the cameras you already own
  • Cheaper to scale across many stores and doors
  • More than counting — conversion, dwell, zones and heat maps
  • Video-backed — every count can be checked against footage
  • Deploy in days, not a site-survey rollout

Dedicated 3D sensor NICHE / HARD ENTRANCES

  • New sensor to buy and install at every entrance
  • Per-door hardware cost grows across a chain
  • Usually counts only — limited wider analytics
  • Can edge out accuracy at very wide or dense doorways
  • Best reserved for the few entrances that need it

Many chains run software on existing CCTV as the default and add a sensor only where an entrance truly needs it. Sieora supports both.

Accuracy

What a footfall counting system measures — reliably

Sieora's footfall counting system holds 95%+ accuracy on well-placed camera views and stays dependable where simple counters drift: busy entrances, mixed lighting, groups walking together and staff moving in and out.

Staff exclusion keeps employees out of the totals, and the model filters carts, bags and reflections — so the conversion rate your team reports is one they can defend.

Busy entrancesMixed lightingGroups together Staff exclusionAdults vs childrenBi-directional
Footfall counting system accurately counting a group of shoppers at a store entrance
GROUP ✓ 96% CONF
Retail analytics

From footfall to conversion rate

Counting is the start. The value is what the numbers tell you about staffing, layout and sales.

📈

Store conversion rate

Compare footfall against POS sales to see exactly what share of visitors buy — per store, per day, per hour.

⏱

Dwell time analysis

See how long visitors stay and where they linger, so you can judge displays, offers and layout changes.

▦

Heat maps & zone traffic

Visualise which areas and aisles draw the most people to plan merchandising and promotions.

⚡

Peak-hour staffing

Match staff rosters to real hourly traffic to cut queues at peaks and idle time in the lulls.

▤

Multi-store dashboard

Benchmark every outlet, entrance and region on one screen, with exports for your own reports.

◱

Occupancy monitoring system

Live occupancy for capacity limits and safety, with alerts when a space fills beyond its threshold.

Integrations

A complete analytics & integration layer

Footfall data is most valuable next to your other numbers. Sieora connects to the tools you already run.

🛒

POS & conversion

Pull sales from your POS to compute conversion automatically alongside footfall.

▥

BI & Power BI export

Export counts and metrics to Power BI, Excel or your data warehouse via API.

👥

Staffing & scheduling

Feed hourly traffic into workforce tools to plan rosters around real demand.

◲

VMS & NVR

Works alongside Milestone, Genetec and other VMS/NVR setups over ONVIF/RTSP.

Deployment

Cloud, edge or hybrid

Run it whichever way fits your connectivity, scale and data-privacy needs.

☁
CLOUD

Cloud

Fastest to launch, nothing to maintain on-site, dashboards from anywhere.

  • Central multi-store view
  • Automatic updates
  • Best for chains & offices
▣
EDGE

Edge / on-premise

Counting runs on-site, so it keeps working with no internet and video stays local.

  • Works fully offline
  • Lowest latency
  • Best for privacy-sensitive sites
⬡
HYBRID

Hybrid

Edge counting with cloud dashboards — resilience on-site, visibility everywhere.

  • Edge uptime + cloud reports
  • Syncs when online
  • Best for multi-site estates
Privacy-first people counting counting visitors anonymously without storing identities
ANONYMOUS · NO ID STORED
Privacy & compliance

Privacy-first & DPDPA 2023-ready

Deployed correctly, people counting software in India can align with the Digital Personal Data Protection Act, 2023 — because it counts anonymously, storing a number and a timestamp rather than anyone's identity.

Sieora supports on-device (edge) processing so footage never has to leave your premises, face masking where required, encrypted storage and configurable retention windows.

Anonymous countsEdge processing Face maskingEncrypted storageRetention control
Pricing

How much does a people counting system cost in India?

Transparent, usage-based pricing — pay for the cameras or sites you actually run.

✓ FREE PILOT ON YOUR OWN CAMERA

People counting camera price vs software pricing

Two costs get confused. A dedicated people counting camera or 3D sensor in India can run roughly ₹15,000–₹60,000 per door — but with Sieora you usually skip that, because the software counts on the CCTV you already own. You mainly pay for the software, priced by scale:

Per cameraSingle entrances
Per siteWhole-store analytics
Per chainMulti-store rollout

Single-store setups start modestly on subscription; multi-store chains scale up with central dashboards. Share your store and camera count and we'll size an exact quote.

STARTS AT
₹0
for a pilot on one camera
Get a Quote → Book a Free Demo
In the field

Where teams put people counting to work

Representative deployments. Replace with your verified client results and metrics before launch.

People counting deployed across a fashion retail chain to lift conversion
// RETAIL CHAIN

Footfall to conversion, chain-wide

A multi-outlet retailer used entrance footfall against POS sales to spot high-traffic, low-conversion stores and re-staff peak hours — turning raw counts into a clear action list per store.

People counting measuring footfall across a shopping mall
// SHOPPING MALL

Tenant footfall & benchmarking

A mall measured entrances and zones to benchmark tenant performance and justify footfall figures during lease and marketing reviews — all on the existing camera network.

Occupancy monitoring counting people across an office campus
// WORKPLACE

Occupancy & space utilisation

A corporate campus tracked real-time occupancy of floors and cafeterias to right-size space and utilities, replacing badge-swipe guesswork with actual presence data.

95%
Counting accuracy
Real-time
Footfall & occupancy
24/7
Automated counting
0
New cameras needed

Book a free people counting demo

See Sieora count visitors on your own camera feed. We'll assess your entrances, cameras and goals, then size a quote — no obligation.

One visitor counting system, every location

  • ✓ Live demo on your existing CCTV
  • ✓ Free pilot on one camera
  • ✓ Accuracy check on your entrance & lighting
  • ✓ Footfall, occupancy & conversion setup
  • ✓ Clear per-camera / per-site pricing
Sieora · AI & Computer Vision, Chennai, India
Serving India & worldwide · Cloud, edge & hybrid

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FAQ

People counting, questions answered

The things buyers and AI assistants ask most about footfall and occupancy analytics.

How does people counting work?
It connects to your existing CCTV over RTSP, detects and tracks each person in the frame, and counts them as they cross an entry line or move between zones. The counts stream to a dashboard in real time for footfall, occupancy and conversion analysis.
Do I need a special camera for people counting?
No. The software works with most existing IP and CCTV cameras, so a dedicated sensor usually isn't required. An overhead or angled entrance view with good lighting gives the best accuracy.
How accurate is people counting?
Leading systems reach around 95% or higher accuracy for clear, well-placed camera views, and stay reliable in varied lighting once tuned. Accuracy depends on camera angle and image quality, and improves with staff-exclusion filtering.
How much does a people counting system cost in India?
Pricing is usually per camera or per site on a monthly or annual subscription, and scales with the number of feeds and features. Because Sieora uses your existing cameras, you typically skip dedicated-sensor hardware costs, and a free pilot lets you validate ROI first.
Camera-based vs sensor-based — which is better?
Camera or CCTV-based software reuses cameras you already own and adds conversion, dwell and zone analytics, making it cheaper to scale across stores. Dedicated 3D sensors can edge out accuracy at very busy or wide entrances, so many sites use software first and add sensors only where needed.
Can people counting calculate conversion rate?
Yes. By comparing footfall against sales from your POS, it computes store conversion rate automatically. This is the metric most retailers use to judge layout, staffing and marketing.
What industries use people counting?
Retail stores and chains, shopping malls, supermarkets, restaurants, offices, airports, museums and event venues all use it. Any space that benefits from knowing visitor numbers, occupancy or peak times is a fit.
Is people counting privacy-compliant in India?
Yes, when configured correctly. Privacy-first deployments count anonymously without storing identities, can process video on-device at the edge, and align with India's DPDPA 2023 principles of data minimisation.
Can it run on existing CCTV without new hardware?
Yes. The software connects to your current IP and CCTV cameras over RTSP, so in most cases you add no new hardware. Edge deployment also keeps counting running during internet outages.
What's the difference between people counting and footfall analytics?
People counting is the raw measurement of how many enter, exit or occupy a space. Footfall analytics is what you do with those counts — conversion, dwell, peak hours and heat maps that guide decisions.