Computer Vision Solutions
People flow with Computer Vision
Computer Vision turns video into movement indicators: counting, occupancy, trajectories, queues, dwell time and heat maps. The goal is to understand how environments are used and support decisions about operations, capacity and experience.
What can be measured
- Entries and exits by region.
- Occupancy of environments and zones.
- Trajectories and movement patterns.
- Queues and dwell time.
- Heat maps and concentration.
- Bottlenecks at passage points.
From camera to indicator
Images are processed to detect and track people throughout the scene. Events are consolidated into metrics that can feed dashboards, reports, APIs or operational systems.
Where it applies
- Airports and terminals.
- Hospitals and care areas.
- Corporate buildings and public-use spaces.
- Urban environments and public facilities.
- Operations that need to understand queues, occupancy and journeys.
Privacy by design
A people-flow project should start from the operational purpose and minimize the data required. In many cases, value comes from aggregated counting and anonymous tracking rather than facial recognition.