Footfall / Public space planning
Know the place. Not the person.
Count movement through high streets, parks and public spaces. Compare busy periods and changing patterns without facial recognition or building a record of individual visitors.
A defined line separates the two sides of a path. Repeated crossings are flow events: they should not be described as a count of unique people. Illustrative, not live data.
From a question to a comparison
What changed when the space changed?
A before-and-after study is most useful when the counting locations and reporting periods are understood.
Define the crossing
Place a counting line within a suitable view of a path or entrance. Automated pedestrian counts describe movement through the defined area.
Build the baseline
Compare days, weeks and seasonal patterns. Find peak periods and review differences across locations from one dashboard.
Compare and report
Use the same measurement approach to understand the effect of an event, layout change or development. Export the data for a wider study.
Different places, different decisions
Follow the public-space question.
The same anonymous counting approach can inform maintenance, investment and how a place is used.
High streets & town centres
Track footfall around retail areas and regeneration projects to inform investment decisions.
Parks, trails & nature reserves
Understand usage for maintenance priorities, walking routes and active travel planning.
Public spaces
Use flow patterns to inform layout, amenity provision and the design of shared spaces.
Transport hubs
Study stations, bus stops and interchanges to support capacity and wayfinding decisions.
Tourism & heritage
Compare seasonal visitor flow and the effect of events at attractions and heritage sites.
Urban development
Establish before-and-after evidence of changes in surrounding pedestrian activity.
Evidence you can use
Keep the comparison. Leave out identity.
Choose outputs for planners, operational teams and the people reviewing the results.
Peak times & trends
Identify busy periods for staffing and resources. Compare days, weeks and seasons to see growth or decline.
Multi-location reporting
Monitor several sites from one dashboard and compare their flow patterns. Automated stakeholder reports, CSV exports and API access support further analysis.
Anonymous does not mean context-free.
Counts and flow patterns remain useful without faces, names or individual visitor histories. A person crossing twice creates two crossings, not two distinct visitors.
Outdoor monitoring must be assessed against the camera view, lighting and weather at the site. Keep these conditions in mind when interpreting a comparison.
Read the privacy principlesA change in the pattern
Know when expected flow changes.
Use configured exceptions alongside your longer-term reports.
No pedestrians
Expected foot traffic has dropped to zero in a monitored area.
No activity
No people are detected at a monitored location for a configurable period.
Volume threshold
Pedestrian count exceeds a configured limit within a selected time window.
Alerts are evaluated on a configured cadence and delivered near real-time. They are signals for review, not a guarantee of immediate detection. Models and rules can be configured per tenant, device and location; custom alert types can be scoped for your workflow.
Which place do you need to understand?
Tell us about the locations, the change you want to measure and the people who need the evidence.
Tell us about your site
Describe your site, your cameras and the question you need answered. We can discuss the right approach for your project.
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