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People Counting: Beginner's Guide

Introduction

In the Data Engine: People Counting module,, there are 4 different tabs: People

Counting
  • Events, 
Occupancy Overview, Occupancy Details, and Footfall Reports. 

Dataengine: People Counting Layout.png

People Counting Events

In People Counting Events, theprovides primaryan customisationorganisation-wide optionsoverview areof availablepeople throughcounting theactivity, filters, allowinggiving users tovisibility filterinto byevents, site, camera, server type, created rules,trends, and timeframe.key

activity

Underacross 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.sites.

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.

PeopleFor Counting:more Occupancyinformation, Details is nested inside ofsee People Counting: Occupancy Overview

Occupancy Details is nested inside of Occupancy Overview and provides detailed analysis of an individual zone. To access Occupancy Details, click on a zone.

For more information, see People Counting: Occupancy Details

Footfall Trends

Footfall Trends and its components provide an aggregated anaylsis of historical data across site and time periods, delivering high-level insight into trends, patterns, and performance over-time.

A variety of footfall trends 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.

There are a variety of filters available in Footfall Trends, including:

  • Filter by site.
  • Filter by year, month, or week

Enabling users to analyse historical data (e.g., 2023 Week 18 for Location 1) as seamlessly as the current week. 

For more information, see People Counting: Footfall Trends.

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