Crowd Insider
How do people move around a space and in what numbers? Our sensor-based cloud solution Crowd Insider delivers precise answers. When it comes to safety and profitability, movement pattern and footfall data are invaluable.
Using sensor data and other sources, Crowd Insider analyses business-relevant information, such as footfall and dwell time at specific points. The service can identify and classify objects. It analyses the data, enriched with other data sources as required, and visualises it as movement patterns, which the customer can use to gain important insights.
For safety officers, live data is particularly useful as it provides information about what is currently happening, where it is happening and how many people are in one place at a time. The solution can trigger automatic notifications to specific individuals/authorities when defined numbers or limits are reached.
A comparison of the sensor data collected over different periods or between different stores or regional events, for instance, provides information about their performance. Analysis and interpretation of the data again generate useful insights for the initiation of measures or improvements. To simplify the interpretation of data, footfall can be enriched with other data sources, such as meteorological and POS receipt data, etc.
We would be delighted to advise you on the right infrastructure, planning and on-site installation for you. You decide the extent to which we take care of solution operation.
Omnichannel
Retail
Large-scale events
Trade fairs/shopping centres
Define the values and receive an alert when the limit is reached.
Continual innovation – you always have the state-of-the-art version.
Investment-free Crowd Insider benefits at predictable costs.
The metadata stored is not subject to privacy policies.
In the service model, sensors and software are always up to date.
Certified Partner
Yes, the sensors used by Swisscom Broadcast guarantee data security at all times. The data is only transmitted in text format and all personal information is removed prior to transmission.
No, because the sensors only store anonymised data, which cannot be traced back to an individual.
The sensors record a person and temporarily assign that person a random identification code. The identification codes are all aggregated and stored as metadata (= in text format).
No, the sensors analyse the recorded image data, convert certain information (such as the position and time stamp of an identification point) into text and store this metadata.
All the collected data is anonymous and aggregated – it is NOT possible to trace it back to an individual person.
Yes, sensors can be used to analyse foot traffic patterns and dwell times. Analysis of this kind is conducted in a way that complies with data protection legislation and meets the audit standards of the FDPIC.