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FootfallCam measures the movement and occupancy of people across university environments. The system can start with building entrances and expand to selected lecture halls, tutorial rooms, libraries, laboratories, washrooms, and shared facilities where more detailed usage data is required.
Measure building-level usage through main entrances and access points across campus.
Monitor large teaching spaces to understand attendance patterns and capacity alignment.
Optional room-level measurement for selected rooms to support teaching and space planning.
Track occupancy, peak periods, quiet periods, and study space pressure across libraries.
Measure specialist spaces where utilisation evidence is critical for resource planning.
Support demand-based cleaning and facility service planning with reliable usage data.
FootfallCam can combine occupancy data with timetable information to compare planned teaching activity with actual room usage.
This enables universities to review:
Scheduled capacity versus actual attendance
Peak and low-usage teaching periods
Room size alignment
Historical attendance patterns
Forecasted demand based on timetable and previous usage
The result is a clearer view of how teaching spaces perform in practice.
Provides real-time and historical visibility of overall campus occupancy across buildings, entrances, and key movement zones for better space and flow management.
Tracks occupancy, footfall, and space utilisation within the building to support operational planning, capacity management, and resource optimisation.
Analyses student attendance patterns by session, highlighting engagement levels, peak periods, and usage trends to improve teaching effectiveness and scheduling.
Monitors individual room occupancy, utilisation, and availability to optimise scheduling, reduce wastage, and improve overall space efficiency.
Metrics Measured:
Measuring the number of visitors in real-time, ensuring the total occupancy doesn't exceed capacity limits
Metrics Measured:
Measuring the number of visitors in real-time, quantifying the utilisation rate of each facilities across different hours
Metrics Measured:
Utilising the occupancy data, it helps to identify the peak and non-peak hours by predicting the occupancy levels
Metrics Measured:
Utilising the occupancy data, it helps to identify the peak and non-peak hours and optimise the staffing level.
Metrics Measured:
Utilising the washroom usage data to trigger cleaning alerts for demand-based cleaning management, ensuring timely cleaning responses.
Measure building-level footfall, peak periods, and campus usage trends.
Compare schedules with actual usage in lecture halls, tutorial rooms, and labs.
Understand library occupancy, study demand, quiet periods, and exam pressure.
See how universities can start with one building and expand across campus.
Review example dashboards for estate, teaching space, library, and facility usage.
Understand the formulas, definitions, and reporting principles behind the data.
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