Question 1

How does analytics improve museum management?

Accepted Answer

Foot traffic analytics in cultural and public spaces measures real visitor behavior: preferred routes, rooms with the longest dwell time, congestion zones, and signage effectiveness. A reference cultural institution uses Flame to optimize exhibition flow, ensuring visitors complete the entire route. Data revealed that 40% of visitors didn't reach the last rooms, leading to a signage redesign that increased average visit duration from 42 to 58 minutes. For physical spaces with time-slot entry, room occupancy analytics prevents saturation and improves the experience. Footfall metrics are also essential for justifying public funding and reporting on exhibition impact.

Question 2

What solutions exist for public transportation?

Accepted Answer

Flame provides footfall analytics for public transportation physical spaces, measuring passenger flow, wait times at access controls, and zone occupancy. Data enables optimizing service frequency based on real demand, planning security and cleaning staffing, and improving signage to distribute passenger flow. All processing is completely anonymous: Flame counts silhouettes without identifying any passenger. Integrations with management systems enable automatic occupancy-based actions, such as activating additional turnstiles or modifying information panel messages. Hypersensor's scalability enables covering complex physical spaces with dozens of access points using the existing camera infrastructure.

Question 3

How does it help in sports and entertainment venues?

Accepted Answer

Flame's analytics in sports and entertainment physical spaces measures access flows, occupancy by grandstand zone, traffic in food service and merchandising areas, and evacuation times. This data enables optimizing the attendee experience: reducing access queues by opening additional doors based on demand, sizing food service points based on zone traffic, and planning evacuation with real flow data. For venue managers, analytics provides per-event performance metrics: how early do attendees arrive? Which food service zones are saturated? How long does exit take? All without any individual identification, only anonymous counts and flows processed through existing security cameras.

Question 4

Can it help with urban planning?

Accepted Answer

Yes. Flame provides foot traffic data for urban physical spaces that informs urban planning decisions. Metrics include: pedestrian traffic patterns by hour and day, flow maps showing preferred routes, concentration zones, and traffic distribution across different access points. This data replaces ad hoc surveys (expensive, infrequent, imprecise) with continuous and objective measurement. City councils use this information to decide where to install urban furniture, how to design pedestrianization of streets, and evaluate the impact of urban changes on pedestrian flow. All processing is anonymous and GDPR-compliant, generating only aggregated statistical data.

Question 5

How does occupancy management work at large events?

Accepted Answer

Flame provides real-time crowd management for large events, festivals, and mass gatherings. The system monitors entries and exits, calculates current occupancy and projects it based on arrival trends, allowing peaks to be anticipated before they occur. Configurable threshold alerts (70%, 85%, 95% of capacity) are sent automatically to security and organization teams. For festivals with multiple stages, Flame measures occupancy by zone, allowing the public to be redirected to less crowded areas through digital signage or PA announcements. Historical data from previous events enables improving planning for each edition. All processing is anonymous: Flame counts silhouettes without identifying attendees.

Question 6

What benefits does it bring to libraries and educational centers?

Accepted Answer

Educational physical spaces use Flame's analytics to optimize schedules, spaces, and resources. Key metrics: footfall by hour and day of the week (to adjust opening hours), study room occupancy (to implement reservation systems based on real use), traffic by zone (to decide which collections need more space), and seasonal patterns (to plan resources during exam periods). Analytics demonstrate real facility use with objective data, which is fundamental for justifying budgets and applying for funding. An educational center showing 2,000 daily visitors with peaks of 400 simultaneous users during exams has a powerful tool to request space expansion or extended hours. All with total privacy: only anonymous counts.

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