Smart Cities &
Public Areas

Vemcount Analytics helps you understand foot traffic volumes through our People Counting system. Get insights into how people interact with your city – where they're going, what they're doing, and what facilities they're using.

Occupancy side walking in a smart city

Improve the quality of living for residents, workers, and visitors

If you want to serve people effectively, as a city authority, you must know how many people are going, where, and when. The pedestrians' flow affects the whole city environment. It is essential to know the numbers of people and how the numbers change over time.

When you see who's coming in and out of your public spaces and amenities, it is easier to engage people with, for example, targeted communications.

With Vemcount, you can have feedback on changes in people's behavior within the city. It allows the council to effectively manage the flow of people, vehicles, and bicycles around the area. 

Smart city internet of things

The sensors installed in a smart city share information with the public, businesses, city managers, and other intelligent systems.

The municipality connects its sensors and services via the internet of things (IoT). The sensors store their information, and Vemcount Analytics transforms the knowledge available into actionable insights.

What Vemcount can do for your City or Public service:

People Counting
Quantify the use of footpaths and cycleways. Count pedestrians, vehicles, bicycles, passengers on public transport.
Benchmarking
Let retail units discover vital analytics like sales conversion rate, average queuing time, and most popular store.
Informed Decisions
Estimate the impact of improvement initiatives and use the data to justify future decisions.
People counting in public transport

Public Transportation 

Transport authorities can control the number of people arriving by bus at various points in the city, by the time of day. The data helps revenue security – adjusting tickets bought with passenger numbers.

Monitoring the numbers of people arriving on platforms also provides vital information on routes by time of day.

Social Distancing Management
Support COVID-19 management plans with real-time data and historical reports.
Crowd Density Mapping
Optimize resource allocation by understanding crowd density in zones and precincts.
Predictive Modeling
Forecast traffic and crowd density to inform both resource planning and operational delivery.
Performance Measurement & Impact Analysis
Understand the impact of events on traffic flow, visitation, and your city's economy.
Smart city public area data analytics with foot traffic

Counting Pedestrians

In the high streets and city centers, sensors count people and register their footfall flow. It presents both real-time and historical data for big data analytics.

If an entrepreneur is looking to open a new shop or restaurant, you can show him/her accurate figures over the proposed location to help him/her assess the potential for their new venture.

 

Vemcount has the best features for you:

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Vemco Group is a company in constant growth. Since its founding in 2005, the company has spread across the globe and is now represented in 85 countries, such as the United Arabic Emirates, Brazil, Russia, Australia, and Switzerland, to name a few. With headquarters in Fredericia, Denmark, Vemco Group is one of the leading European players in people counting and data analytics. Now, the company prepares to seize Norway and Sweden, while also welcoming a familiar face.

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When you think about loss prevention solutions, you probably don’t think about people counters. You probably think about scanners at the door, and of course, security guards. However, footfall counters also have a role to play in security.

Heatmaps and dwell time in retail store

Heatmaps are a graphical representation that helps retailers understand how customers use their brick-and-mortar stores. The data generated at these physical stores help retailers better understand how customers browsed, shopped, lingered, and for how long.

Our data shows that the most critical time in relation to distance is the moment where customers pick up groceries from the basket and put them on the conveyer belt.

Mikkel Baun Kjærgaard - Professor
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