open source website builder

Wilderness Footfall

Provides real-time visitor counter numbers from remote locations  

Wilderness Footfall

Rugged, outdoor visitor counter using the latest in Internet-of-Things technology to send real-time visitor counts from remote locations 

Directional Visitor Information 

Each sensor unit provides real-time information about visitor direction of travel.

Detailed Environmental Information

Each sensor also collects detailed environment data which enriches the visitor information.

Modular Communications
 

Choose from various connectivity options e.g., 3G, WiFi, Sigfox, LoRa and various satellite providers.

Various combinations are also supported, e.g. LoRa with 3G backup.

 Online analytics and reporting

Centralised analytics and detailed visitor graphs are provided.

Custom alerts and monitoring are also available.

  • MULTIPLE VISITOR DETECTION - Using its sophisticated algorithm, Wilderness Footfall can detect small groups of visitors passing the sensor unit in staggered formation.
  • WATERPROOF - Designed for outdoor locations, the Wilderness Footfall unit is waterproof and has been tested in the harsh Scottish winter weather.  
  • SIMPLE TO INSTALL - and simple to reposition if needed 
  • TAMPER/THEFT ALERT - the unit senses that it is being moved and sends out alerts
  • PRIVACY - Wilderness Footfall does not capture any identifiable visitor information, which makes it the perfect solution when GDPR privacy is a concern

When are visitors most likely to visit my location?

Using the online analytics, easily correlate visitor numbers against time of day, external temperature, weather, season, etc to determine when visitors are most likely to visit.

How are my visitors moving around my site?

Using sensors stationed at all the key points, microflow information can be generated which can allow you to see how visitors are moving round the location. This can then inform visitor experience improvements.

Which of my locations is currently the busiest?

Determine macro-flow across multiple sites by easily correlating visitor numbers in real-time with average length of stay, to work out which sites are currently busiest.