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People Counting

Measure footfall across entrances, floors and venues with AI-powered video analytics. Get the visibility you need to optimize operations, plan resources efficiently and boost conversion across every physical space.

  • 99% accuracy
  • +500 stores measured
  • 12 countries
  • No biometrics
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Brands already measuring with Flame

IKEADecathlonCushman & WakefieldTelefónicaCBRESantanderAlain AfflelouWestfieldHavaianasMerlin PropertiesIKEADecathlonCushman & WakefieldTelefónicaCBRESantanderAlain AfflelouWestfieldHavaianasMerlin Properties

Benefits of People Counting

Turn intuition into action plan: where to optimize, when to intervene, and what truly moves the needle.

Understand your real footfall

Full visibility on how many people visit, when, and how trends evolve over time.

Efficient staffing and operations

Plan shifts and service levels based on real data. Cut waste, keep service high.

Compare locations easily

Benchmark stores, floors and networks to surface best practices and gaps.

Boost conversion and profitability

Link visitor data with sales and unlock the actions that lift ROI.

Beyond counting: intelligence on your footfall

Flame People Counting dashboard

Flame People Counting turns raw counts into actionable insight. Explore trends, compare locations and monitor visitor flow through intuitive dashboards built for operations and marketing teams.

Real-time decisions, with precision and privacy built in. No construction, no biometrics. Works with your existing POS, ERP and BI stack.

  • Street traffic
  • Venue traffic
  • Capture rate
  • Staff exclusion

The metrics that change decisions

Cross visitors with operations and sales to discover actionable patterns.

Total and hourly footfall

Real visits day by day, hour by hour. Spot real peaks and valleys.

Visit-to-sale conversion rate

Cross traffic with POS. Know what % of visitors actually buys.

Weekly patterns and peak hours

Identify critical moments to align staff and stock.

Store-to-store benchmark

Find top stores and replicate their playbook across the network.

Average time in store

Key indicator of engagement and store experience.

Staff-to-traffic ratio

Right-size staff per shift. Reduce mis-allocated hours.

Start counting visitors with real accuracy.
Live people counting in 7 days.

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Solutions for any Industry

Flame Analytics is an advanced smart analytics platform designed to support a wide range of industries and sectors.

Shopping malls

Improve experience, profitability and decision-making across every mall in your portfolio.

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Retail

Drive retail success with real-time customer insights.

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Public venues

Unlock the value of your public spaces by turning data into strategic actions.

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Hospitality

Use data-driven insight to anticipate guest needs and improve service quality.

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The best brands talk about us

Irene Cuadrado

Somos clientes desde hace años y pretendemos seguir siéndolo. Flame te cuenta lo que no puedes ver sentado en una oficina o dando un paseo por el hall del centro comercial. Te acerca al cliente desde el momento en que pasa por delante.

Irene CuadradoMarketing & Specialty Leasing manager · ABC Serrano (Savills)
Vicente Alemany Climent

Gracias Flame analytics por acompañarnos en el apasionante reto de ofrecer a nuestros visitantes una experiencia omnicanal total.

Vicente Alemany ClimentCoordinador de Innovación · Cushman & Wakefield
Manuel Fernández

Es un placer trabajar con Flame analytics como socio estratégico. Fiabilidad para poder analizar el rendimiento de nuestra tienda.

Manuel FernándezCIO Transformación Digital · Cash Converters
José Miguel de Miguel Peña

Flame es una plataforma muy visual con la que te haces una idea de todo lo que ocurre en nuestros restaurantes. Estamos teniendo una experiencia muy positiva.

José Miguel de Miguel PeñaDirector de Restaurantes Esplore · ILUNION
Jacques Ferrándiz Fuster

Gracias a la tecnología, nuestra red dispone ahora de un sistema capaz de comunicar información valiosa sobre nuestra actividad empresarial.

Jacques Ferrándiz FusterCoordinador de proyectos web · Alain Afflelou
Irene Cuadrado

Somos clientes desde hace años y pretendemos seguir siéndolo. Flame te cuenta lo que no puedes ver sentado en una oficina o dando un paseo por el hall del centro comercial. Te acerca al cliente desde el momento en que pasa por delante.

Irene CuadradoMarketing & Specialty Leasing manager · ABC Serrano (Savills)
Vicente Alemany Climent

Gracias Flame analytics por acompañarnos en el apasionante reto de ofrecer a nuestros visitantes una experiencia omnicanal total.

Vicente Alemany ClimentCoordinador de Innovación · Cushman & Wakefield
Manuel Fernández

Es un placer trabajar con Flame analytics como socio estratégico. Fiabilidad para poder analizar el rendimiento de nuestra tienda.

Manuel FernándezCIO Transformación Digital · Cash Converters
José Miguel de Miguel Peña

Flame es una plataforma muy visual con la que te haces una idea de todo lo que ocurre en nuestros restaurantes. Estamos teniendo una experiencia muy positiva.

José Miguel de Miguel PeñaDirector de Restaurantes Esplore · ILUNION
Jacques Ferrándiz Fuster

Gracias a la tecnología, nuestra red dispone ahora de un sistema capaz de comunicar información valiosa sobre nuestra actividad empresarial.

Jacques Ferrándiz FusterCoordinador de proyectos web · Alain Afflelou

Frequently asked questions

What is a People Counting system and how does it work?
A People Counting system uses sensors — typically video cameras or infrared beams — to record how many people enter and leave a physical space. Modern systems like Flame apply AI video analytics to existing CCTV cameras, eliminating the need for dedicated hardware. The Hypersensor technology processes video streams in real time, detecting and counting individuals through silhouette recognition that never identifies faces or uses biometric data. Flame achieves over 98% accuracy in physical spaces, retail stores and shopping malls across 7 countries. Unlike traditional infrared counters that only measure door crossings, AI video counting works across entire zones, distinguishing employees from visitors.
How accurate is AI People Counting vs manual?
AI-based People Counting like Flame achieves over 98% accuracy in controlled environments, far exceeding manual counting which typically offers 75-85% accuracy due to human fatigue and distraction. Flame's Hypersensor uses deep learning models trained with millions of real-world scenarios to maintain accuracy even in high-density environments like shopping mall corridors or retail store entrances during peak hours. The system self-calibrates using historical patterns and handles complex scenarios — groups walking together, people with large bags, wheelchair users — that cause traditional infrared or thermal sensors to undercount by 15-30%. Accuracy is validated through quarterly field audits for enterprise clients including leading retailers, shopping mall operators and organizations managing physical spaces.
How much does People Counting cost for a store?
Total cost depends on three factors: number of entrances to monitor, existing camera infrastructure, and analytics modules chosen. Flame works with existing CCTV cameras, eliminating the 500-2,000 EUR per entrance cost of dedicated sensors. Software licensing follows a SaaS model with monthly or annual subscriptions. For a single location with 2-4 cameras, expect 150-400 EUR/month including People Counting, basic traffic analytics and dashboard access. Multi-location organizations — from a major fuel retailer (1,000+ stations) to a network of physical spaces — benefit from volume pricing. ROI typically materializes within 3-6 months from staffing optimization alone, reducing labor costs by 8-15%.
What is the ROI of implementing People Counting?
Organizations using Flame's People Counting — whether managing physical spaces, retail stores or shopping malls — achieve measurable ROI within 90 days across three areas. First, conversion rate visibility: knowing the real visitor-to-buyer ratio reveals whether low sales are due to lack of traffic or poor in-store experience. Second, staffing optimization: aligning employee shifts with actual traffic patterns reduces labor costs by 8-15% and improves visitor service during peak hours. Third, marketing attribution: measuring footfall increase after campaigns proves which promotions actually drive visits. Flame clients in the operadores lideres del sector portfolio with 10 shopping malls increased tenant conversion rates by an average of 12% in the first year.
Is People Counting GDPR compliant?
Yes, when implemented correctly. Flame's People Counting is privacy by design: the system counts anonymous silhouettes moving through the space without capturing, storing or processing biometric data. No facial recognition, no individual tracking, no personal data collection. Data is aggregated into statistical counts — 147 visitors between 10:00 and 11:00 — making it impossible to identify any individual. Flame holds ISO 27001 certification and processes all data on EU servers. The system generates only aggregate metrics (hourly counts, zone occupancy levels, average dwell times), never individual profiles. This approach exceeds GDPR requirements and applies equally to physical spaces, retail stores and shopping malls.
Does it work with my current CCTV cameras?
Yes, and this is Flame's key differentiator. Flame's Hypersensor technology connects to existing IP cameras via RTSP protocol, transforming video surveillance infrastructure into business intelligence without any new hardware. Compatible with major camera brands including Axis, Hikvision, Dahua, Bosch and Hanwha. Requirements are minimal: cameras need at least 720p resolution and an overhead or angled-from-above mounting position. Flame's technical team performs a free camera audit to confirm compatibility before deployment. In a major fuel retailer's deployment across 1,000+ service stations, Flame connected to the existing camera network without any hardware purchases, reducing deployment cost by 60%. The same approach applies to physical spaces, retail stores and shopping malls.
What is the difference between real-time and historical data?
Real-time data shows current occupancy and traffic flow as it happens, essential for immediate decisions like opening additional service points or activating crowd management protocols in physical spaces. Historical data reveals patterns over weeks, months and years, enabling strategic decisions about opening hours, seasonal staffing and layout changes. Flame provides both through a unified dashboard. Real-time feeds update every 15 seconds with configurable threshold alerts. Historical analytics include year-over-year comparisons, day-of-week patterns and weather correlation analysis. Physical spaces use real-time data for operations, while shopping malls and retail stores rely on historical data for quarterly business reviews and lease negotiations.
How long does installation take?
For a single location with existing cameras, Flame typically delivers live counting data within 5-7 business days from contract signing. The process: Days 1-2, camera audit and RTSP connection setup (remote); Days 3-4, AI model calibration with your specific environment; Days 5-7, dashboard configuration and team training. No on-site hardware installation is needed when using existing cameras. For multi-site deployments, Flame implements in phases: major retailers's multi-store rollout followed a 4-week phased approach, and the same methodology applies to any network of physical spaces. Enterprise clients receive a dedicated project manager and custom API integration support.

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