People Counting: Beginner's Guide
Introduction
In the People Counting module, there are 4 different tabs: People Counting Events, Occupancy Overview, Occupancy Details, and Footfall Reports.
- People Counting Events provide detailed insights into event activity, including alarms, trends, density, total counts, and recent events, alongside video and image footage for visual verification (where applicable).
- Occupancy Overview delivers real-time and historical insights into occupancy, including occupancy trends, over-capacity incidents, and detailed analytics to help understand footfall patterns across a site.
- Occupancy Details is nested in occupancy overview and offers detailed insight into an individual zone.
- Footfall Reports administers detailed analytics and trends across real-time, weekly, monthly, and annual periods.
Dataengine: People Counting
People Counting Events
In People Counting Events, the primary customisation options are available through the filters, allowing users to filter by site, camera, server type, created rules, and timeframe.
Under Recent Events users can view recent event information. Clicking an event opens a side tab that displays alert details, associated video evidence, and server information. Users can also download the evidence.
Occupancy Overview & Occupancy Details
People Counting: Occupancy Overview provides visibility into overcapacity incidents, occupancy trends, and key metrics in real-time such as average occupancy, total occupancy, and hourly occupancy breakdown across a zone.
People Counting: Occupancy Details is nested inside of People Counting: Occupancy Overview and provides detailed analysis of an individual zone.
Footfall Reports
A variety of footfall reporting options are available:
- Live Dashboard,
- Weekly Footfall Trends,
- Monthly Footfall Trends,
- Annual Footfall Trends.
Each option provides a different level of aggregation, from real-time analytics through to long-term trends (weekly, monthly, and yearly).
The Live Dashboard is useful for real-time monitoring, while Weekly and Monthly Trends are typically the most useful starting points for analysing patterns over time. Annual Trends are best suited for long-term comparisons.