Your partner in people flow analytics
Data-Driven Insights for Smarter Campus Planning
Supersight transforms people flow data into actionable insights for universities and campuses. Whether it’s lecture halls, libraries, study areas, meeting rooms, or common spaces, the solution reveals how spaces are actually used, when peak times occur, and where capacity challenges exist. This enables you to optimize space utilization, improve the student experience, and support data-driven campus planning — all through a single, clear data view.
Trusted by numerous academic organizations
Building level insights
Supersight helps universities understand how students and staff move across campus by providing a clear view of occupancy, peak times, and space utilization. From lecture halls and libraries to entrances and common areas, the solution reveals how spaces are actually used throughout the day.
With these insights, universities can improve space planning, balance demand across buildings, and ensure that facilities support both learning and collaboration — while making better use of existing resources.
- Entrance & Flow Analysis – Understand how people move between buildings and across campus
- Space Utilization Insights – See which lecture halls, libraries, and common areas are most used
- Data for Planning – Support long-term campus and space development decisions
- Peak Time Identification – Anticipate congestion and improve, safety, comfort and accessibility
Study Spaces and Facility Usage
Supersight provides detailed insights into how individual campus spaces are used — from lecture rooms and study areas to group rooms and shared facilities. By understanding real usage patterns, universities can better align space availability with student needs.
This enables more efficient scheduling, improved space allocation, and a better overall campus experience — while reducing unused or overcrowded areas.
- Optimize Room Usage – Align lecture rooms and study spaces with actual demand
- Improve Scheduling – Identify mismatches between bookings and real usage
- Reduce Overcrowding – Detect high-demand areas and improve space distribution
- Enhance Student Experience – Ensure spaces are available when and where they’re needed
Our Solution
AI-powered sensor technology
Our solution is based on intelligent Edge AI sensors that analyze foot traffic with up to 99% accuracy and provide reliable real-time data on people flow.
Real-time analytics platform
Collected data is processed into clear and easy-to-interpret dashboards, providing a real-time view of occupancy, congestion, and area-specific analysis. Data is also available via REST API.
Privacy-respecting solution
Our solution is fully privacy-compliant, with no personal data processed or stored.
Real life deployments
Various universities across Europe use Supersight to better understand their space utilization.
University of Lapland and Lapland University of Applied Sciences: space utilisation measurement
Supersight is becoming the standard for utilisation analytics across top universities in Finland, including University of Helsinki, Aalto University and Tampere University.
Why universities?
Because few environments are more demanding:
- Continuous, high-volume people flow in auditoriums
- Rapid hourly turnover between lectures
- Accuracy requirements 99% — anything less breaks decision-making
- Strict expectations around privacy in public spaces
This is exactly what Supersight is built for.
Our edge AI runs entirely on-device. No images stored, no video streams - delivering real-time utilisation insights while remaining fully privacy-preserving.
Just as importantly, our architecture enables a fundamentally different cost structure, making high-accuracy, real-time utilisation data deployable at scale across entire campuses.
Universities can finally understand how their spaces are actually used. In real time, and at scale.
The City of Imatra: a large-scale utilisation and occupancy analysis
The project is one of the most comprehensive educational facility utilisation studies carried out in Finland. Supersight monitors the utilisation and occupancy rates of approximately 200 spaces using 197 privacy-preserving AI sensors at Mansikkala School Centre and its early childhood education facilities.
Mansikkala School Centre is a unique educational environment. Completed in 2020, it is the largest wooden school building in Finland, serving approximately 1,350 children and young people from daycare through upper secondary education. The 15,300-square-metre campus also accommodates student welfare services, a public health clinic, adult education activities, and community organisations.
After several years of operation, the City of Imatra identified a need to better understand how the facilities are actually being used. The study will provide detailed insights into room utilisation, occupancy levels, visitor volumes, dwell times, and movement flows throughout the building. The results will help identify underutilised areas, peak-demand spaces, and locations that may require further analysis, enabling future decisions to be based on objective data rather than assumptions.
For public-sector organisations, understanding how existing facilities are used is increasingly important. Reliable utilisation data supports better space planning, improve operational efficiency, and help maximise the value of major infrastructure investments.
Supersight’s privacy-first edge AI technology enables detailed occupancy analytics without processing personal data or storing images, providing actionable insights while meeting strict privacy and cybersecurity requirements.
University of Helsinki - Building Occupancy rate
University teaching has changed and it is no longer necessary to use all the traditional teaching spaces in the same way. For instance in Exactum Building, occupancy varies significantly from month to month, peaking at a weekly average of 26% in 2024, with single hour occupancy peaking at 39%.
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"We use Supersight and point of sale data to optimize operations in campus restaurants. This reduces biowaste to meet CO2 emission targets"
Andrew Rebeiro-Hargrave, Senior Researcher, University of Helsinki
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