Interactive demo based on real crowd analysis data.
This demo showcases our crowd analysis capabilities, based on data collected during the Carnall Festival Zabrze 2024. While this data comes from an outdoor event, our technology is even more precise indoors.
P.S. The background is an orthophotomap taken at a different time, please ignore the cars present on it ;)
We enable the analysis and prediction of people's movement in time and space.
The map shows the density of participants in different areas depending on the time of day. The visible patterns show that the largest clusters of people appear during the main performances, during breaks, and near key attractions (and seating areas).
Color indicates movement intensity ( ■ - lowest intensity, ■ - largest crowds)
P.S. Click the "" button above the map to see the animation
By analyzing this data, it's possible to better plan the layout of zones, optimize participant flow, and avoid congestion. This not only increases visitor comfort but also improves the operation of the entire event.
The chart shows the flow of participants through one of the entrances/exits during the event. The traffic analysis shows clear surges in attendance - the largest inflows and outflows of visitors occur mainly during breaks between concerts and after the end of main performances.
Understanding these patterns allows for better logistics management, e.g., adjusting the number of staff, optimizing route signage, or spreading attractions to avoid congestion. This makes the event more comfortable, and the flow of people through the entrance smoother and safer.
Our tools allow you to better understand the demographics of participants, providing key data for event planning, marketing, and securing sponsors/exhibitors.
Analysis of the distribution of age groups at the event reveals an interesting pattern - older participants more often gather along walls, fences, and near seating areas, while central areas remain the domain of younger people who are more likely to move around. The exception is the space under the stage, where the concentration (and average age) of all age groups is higher, suggesting that the event attracted people regardless of age.
Each circle represents an age group, where:
The gender distribution at the event indicates a clear pattern - women more often gather near the stage and prefer to move along side zones, avoiding central passages. This may suggest a greater comfort in moving on the periphery of the crowd or specific preferences in event reception. In contrast, men seem to be more evenly distributed, more often using the main communication routes.
Each circle represents a group of participants, where:
Demographic patterns are not static - the age distribution changes over time, influenced by the event schedule, type of content, and audience interests. The diagram shows how different age groups engage at different times:
Each rectangle represents visitors of a specific age at a specific time, where:
Whether it's a trade fair, concert, or conference, content selection directly shapes visitor demographics, and understanding them helps optimize content, schedules, and marketing.
Our technology has developed significantly since this event. Here are the capabilities we currently offer:
We encourage you to contact us at contact@phantomsight.com