The people counting software market has changed radically over the last few years. What used to be a simple door counter is now a data intelligence platform that measures traffic, conversion, occupancy and visitor behavior in real time. But with so many options available — dedicated sensors, AI video analytics, enterprise suites — choosing the right people counting system has become genuinely complex. In this guide we compare the five leading platforms on the market (ShopperTrak, FootfallCam, V-Count, RetailNext and Flame Analytics) using verified data from their official websites, so you can make an informed decision. Full disclosure: Flame Analytics is our own platform. We include it under the same criteria as everyone else, and we tell you clearly where it fits — and where it doesn't.
- What is a people counting system?
- Three generations of people counting technology
- At-a-glance comparison table
- The 5 leading platforms in 2026
- Other vendors worth watching: Xovis and Axis
- How to choose people counting software in 2026
- Which one fits your business?
- Frequently asked questions
What is a people counting system?
A people counting system (also called a people counter, footfall counter or retail traffic counter) automatically measures how many people enter and leave a physical space — a store, shopping mall, airport, museum or office. Modern people counting platforms go far beyond the raw count: they add analytics layers that connect foot traffic to business outcomes — conversion rate, dwell time, in-store journeys, real-time occupancy and store-to-store benchmarks.
In 2026, professional people counting software should cover at least six functions:
- Accurate entry and exit counting with automatic exclusion of staff and grouping of people walking together.
- Real-time data accessible from any device.
- Conversion rate connected to your POS or ERP.
- Heatmaps and zone analytics to understand behavior inside the store.
- Regulatory compliance (GDPR, EU AI Act) without biometrics or facial recognition.
- APIs and integrations with BI, ERP, CRM and marketing platforms.
Three generations of people counting technology
People counting in retail has evolved in three clearly distinct technology waves. Knowing which generation each vendor operates in helps you compare options with proper criteria.
| Generation | Technology | Hardware | Typical accuracy |
|---|---|---|---|
| 1st (1990s — 2010) | Infrared beams, pressure mats | Dedicated sensor at every door | 70-85% |
| 2nd (2010 — 2020) | Stereo cameras, thermal, Wi-Fi/BLE | Dedicated cameras or 3D sensors | 85-95% |
| 3rd (2020 — today) | AI on CCTV, computer vision | Reuses existing security cameras | 95-98%+ |
The five platforms analyzed in this guide operate across these three generations, with different degrees of technology refresh.
Want to see how 3rd-generation people counting works on your own camera network?
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At-a-glance comparison table
All facts in this table come from public sources: official websites and verifiable press releases.
| Platform | HQ · founded | Technology | New hardware needed | Data & privacy notes | Best fit |
|---|---|---|---|---|---|
| ShopperTrak (Sensormatic) | USA · 1993 | Proprietary sensors + analytics suite | Yes | Part of Johnson Controls | Global enterprise chains in the Sensormatic ecosystem |
| FootfallCam | UK · 2002 | Own 3D counters + AI Box + VLMs | Yes | Privacy-first messaging, on-device masking | UK/EU mid-market wanting one vendor for hardware + software |
| V-Count | Turkey · 2006 | 3D stereo vision sensors, edge AI | Yes | On-sensor (edge) processing | High-traffic global retailers needing 3D precision |
| RetailNext | USA · 2007 | Computer vision + Aurora IoT sensor | Yes | SOC 2 Type II certified | North American enterprise (fashion, beauty, specialty) |
| Flame Analytics | Spain · 2016 | AI on existing CCTV (Hypersensor) | No — runs on your existing cameras | GDPR-first, EU data residency, no biometrics | European retailers & malls with existing CCTV and short deadlines |
The 5 leading platforms in 2026
These are the five most relevant people counting software platforms on the market, ordered by seniority. All the information comes from public sources: official websites and verifiable press releases.
ShopperTrak — USA, 1993
FACT SHEET
HQ: USA · Founded: 1993 · Current owner: Sensormatic Solutions (Johnson Controls) since 2016 · Technology: proprietary sensors + web analytics · Key products: People Counting, Occupancy Solutions, Brand Vitality Meter, Market Benchmarks.
ShopperTrak is probably the best-known brand in the industry. Founded in 1993, it pioneered retail traffic analytics. In 2016 it was acquired by Tyco for 175 million dollars and, since 2019, it operates as one of the product lines of Sensormatic Solutions, the Johnson Controls umbrella brand. Its catalog covers people counting, occupancy management and industry benchmarks (its traffic index is a historical reference in the sector).
Who it's for: large international chains that already sit inside the Johnson Controls ecosystem (Sensormatic loss prevention, RFID tagging, etc.) and value large-scale comparative benchmarks.
Keep in mind: as part of a global industrial group, procurement and implementation cycles tend to be long. The technology stack is extensive but inherits decades of evolution on proprietary sensors.
FootfallCam — UK, 2002
FACT SHEET
HQ: United Kingdom · Founded: 2002 · Ownership: independent · Technology: own sensors + AI Box + Vision-Language Models · Key products: Pro2/Extend counters, IP cameras, AI Box, V9 platform.
FootfallCam is one of the longest-standing European vendors. It has manufactured its own footfall counters since 2002 and, in recent years, has added AI layers with its AI Box line and vision-language models (VLMs). It communicates a strong privacy-first approach: masking at source, no storage of identifiable images. Its V9 platform includes an App Store with vertical modules.
Who it's for: European mid-market and enterprise that prefer a single vendor for hardware + software, with certified proprietary sensors.
Keep in mind: depending on proprietary hardware means an upfront investment per measuring point. For customers with an existing CCTV network, the solution requires replacing or complementing sensors.
V-Count — Turkey, 2006
FACT SHEET
Origin: Turkey (offices in USA, UK, UAE, India) · Founded: 2006 · Ownership: independent · Technology: 3D Active Stereo Vision + AI on Chip · Key products: Nano AI / Outdoor / Prime sensors + BoostBI platform.
V-Count was born in Istanbul in 2006 and has grown with a strong international presence (130+ countries according to its website). Its main line is 3D stereoscopic people counting sensors with AI processing on the device itself (edge AI). Cited customers include Nike, Cartier, Bulgari, Sephora, Siemens, Samsung and Ford.
Who it's for: global retailers and demanding formats (high traffic, variable lighting conditions) that need 3D precision and in-sensor processing.
Keep in mind: like FootfallCam, the model relies on proprietary sensors; cost per point sits in the €500-2,000 range typical of 2nd-generation hardware.
RetailNext — USA, 2007
FACT SHEET
HQ: San Jose, California · Founded: 2007 · Majority investor: Battery Ventures (2018) · Technology: computer vision + proprietary IoT sensors (Aurora) · Certification: SOC 2 Type II.
RetailNext is the main enterprise competitor of North American origin in the 2.0 generation. It combines computer vision with its Aurora IoT sensor and a mature analytics platform. Its public customer list includes brands such as Macy's, Ulta Beauty, Calvin Klein, The Estée Lauder Companies, Sephora and The Vitamin Shoppe. It communicates 100,000+ sensors deployed across 100+ countries.
Who it's for: large North American chains (especially fashion, beauty and specialty) with dedicated business intelligence teams.
Keep in mind: it requires deploying its own Aurora sensor in every store. Its European market coverage is less dense than that of Europe-based competitors.
Flame Analytics — Spain, 2016
FACT SHEET
HQ: Spain · Founded: 2016 · Investors: PadeInvest, BeWater Funds · Technology: AI on existing CCTV (Hypersensor) · Key products: Traffic, Customer Journey, Connect, Hypersensor.
Flame Analytics — our platform, as disclosed at the top — is the Spanish 3rd-generation proposal: a physical-space analytics platform designed to run directly on the customer's existing CCTV network, with no additional sensors to install. Its proprietary Hypersensor technology applies AI computer vision to the stream of the IP cameras already deployed. It covers retail, shopping malls, hospitality and public venues.
Who it's for: European retailers, shopping mall operators and hotel chains that already have CCTV infrastructure and want to capitalize on it; organizations where GDPR compliance with data residency in the EU is critical; projects where deployment time (typically no more than 5-7 days per site) or operational disruption are decisive factors.
Keep in mind: it requires the existing cameras to meet minimum technical requirements (resolution, positioning). The team runs a free prior audit to confirm feasibility before deployment.
Other vendors worth watching: Xovis and Axis
Beyond the five main platforms, two manufacturers come up regularly in purchasing processes and are worth knowing:
Xovis — Switzerland
Xovis is a Swiss manufacturer (HQ in Zollikofen, Bern) of its own 3D sensors for measuring people flow, with offices in Berlin, Boston and Gurugram. It is a recognized leader in airports and has a growing presence in retail and transportation, with strong privacy-compliant positioning. The model is dedicated hardware (its own Swiss-made sensor per measuring point) plus people-flow software. For pure retail analytics, its platform is less oriented toward marketing and conversion modules than the five platforms above.
Axis Communications — Sweden
Axis Communications is a Swedish network camera manufacturer whose AXIS People Counter application runs embedded in the camera itself (edge analytics). It is a reasonable entry option if you already have — or plan to deploy — Axis cameras, with two caveats: the people counting camera application only runs on the manufacturer's own devices, and multi-store consolidation plus business analytics (conversion, dwell time, journeys) require an additional software layer.
How to choose people counting software in 2026
There is no single "best" platform in absolute terms: the choice depends on your organization's profile, existing infrastructure and strategic priority. These are the five questions to ask before signing:
- Do I already have working CCTV? If yes, 3rd-generation platforms (AI on CCTV) remove the cost of new hardware. If not, the dedicated sensors from FootfallCam, V-Count or RetailNext can be viable.
- Can my data leave the EU? If your sector demands GDPR-compliant people counting with processing on EU territory (banking, healthcare, retailers with strict privacy policies), confirm the server geography of each vendor.
- Do I need biometrics or just counting? For counting and behavior analytics, silhouette detection is enough and avoids the biometric debate (EU AI Act). If your real use case requires facial recognition, that is a different product category.
- What is my size and timeline? A single store with 2-4 cameras can be live within a week on an AI-on-CCTV platform. An enterprise multi-country chain needs a vendor with a proven track record in 100+ site rollouts.
- Which integrations do I need? ERP, BI, CRM, marketing automation… check that the platform offers APIs or standard connectors. The most mature platforms (RetailNext, ShopperTrak) have extensive integrations; younger ones may require custom work.
A note on scored comparisons: this guide deliberately avoids assigning numerical scores across platforms because objective criteria vary by business type. Treat any quantitative comparison you find online without an explicit methodology and independent auditing with caution.
Which one fits your business?
An indicative summary by retailer profile (not a scoring; these are qualitative recommendations based on each platform's public positioning):
| Retailer profile | Platforms to consider |
|---|---|
| Global enterprise chain on the JC/Sensormatic stack | ShopperTrak (Sensormatic) |
| UK/EU mid-market, no existing CCTV | FootfallCam, V-Count |
| North American enterprise, fashion/beauty | RetailNext |
| Retailer with existing CCTV that wants to avoid new hardware | Flame Analytics (3rd generation, AI on CCTV) |
| European chain with strict EU GDPR requirement + short deadline | Flame Analytics (EU data residency, 5-7 day rollout) |
Is your retail in Flame's sweet spot?
We'll show you in a demo how Flame's people counting system connects to your own camera network and starts delivering data in less than a week.
Frequently asked questions
What is people counting software?
People counting software automatically measures how many people enter and leave a physical space, distinguishing entries from exits, excluding staff and delivering real-time data. Modern platforms extend counting with behavior metrics (journeys, hot zones), conversion rate and occupancy.
What is the best people counting system for retail?
There is no universal best: it depends on your infrastructure and priorities. If you already have CCTV, a 3rd-generation AI-on-CCTV platform like Flame Analytics avoids buying hardware and deploys in days. If you have no cameras and want a single hardware + software vendor, FootfallCam or V-Count are solid candidates. For North American enterprise chains with BI teams, RetailNext and ShopperTrak (Sensormatic) are the usual picks.
Can I use my existing security cameras for people counting?
Only with 3rd-generation (AI-on-CCTV) platforms such as Flame Analytics. Sensor-based platforms (FootfallCam, V-Count, RetailNext, ShopperTrak in its main line) require installing their specific hardware in every store, although some also offer complementary analytics on IP cameras.
How accurate are people counting systems?
It depends on the technology generation: infrared beam counters typically reach 70-85% accuracy, 2nd-generation stereo and thermal sensors 85-95%, and 3rd-generation AI computer vision on CCTV 95-98% or higher, provided the cameras meet minimum requirements.
Are people counting systems GDPR compliant?
All five platforms analyzed declare GDPR compliance. The relevant differences are (a) whether data is stored in the EU or outside, and (b) whether the technical architecture uses biometrics or only anonymous silhouette detection. For sectors with strict requirements (banking, healthcare, public contracts), confirm both points in writing before signing.
How much does a people counting system cost?
A dedicated stereoscopic sensor costs between €500 and €2,000 per measuring point, plus the software license. AI-on-CCTV platforms remove the hardware cost if the existing cameras meet minimum requirements (typically 720p and overhead or angled positioning). In all cases, the annual license depends on the number of sites and modules.
How long does it take to deploy a people counting system?
It varies by model. An AI-on-CCTV platform can deliver data within 5-7 days per site if the existing camera network is compatible. A rollout with dedicated sensors (physical installation, cabling, calibration) can take between 4 and 12 weeks, especially across multi-store networks.
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