Understand how your trails are really being used

Fully anonymous counting

Measure visitor flows with a simple, privacy-friendly system designed for outdoor environments.

Built for outdoor use

The system is designed for easy deployment in remote areas.

Lack of reliable visitor data is a real problem

Many municipalities and tourism regions don’t have accurate data on how their trails are used. Existing solutions are often expensive, difficult to maintain, or not designed for remote environments.

As a result, important decisions are often based on assumptions instead of real data.

No clear overview of visitor numbers
Hard to detect overcrowding
Difficult to plan infrastructure or maintenance
Limited insight into environmental impact

A simple and transparent way to measure trail usage

Trailsense provides an easy way to measure visitor flows using small, off-grid sensor nodes. The system works without cameras and does not collect personal data.

No cameras, no personal data Fully anonymous counting Works in remote outdoor areas Low-cost and scalable

Open alpine trail terrain without any surveillance equipment

A single hiker moving along a mountain trail

Rocky mountain trail section suited for distributed sensor coverage

Trailsense does not use cameras or any kind of visual recording. This means no images, no videos, and no possibility to identify individuals. The system only detects wireless signals that devices send out anyway.

Detected signals are converted into aggregated visitor counts. Trailsense measures how a trail is used without storing personal identities or following individual visitors.

Compact off-grid sensor nodes are designed for locations without existing power or network infrastructure, making them suitable for remote trails and outdoor environments.

Small sensor nodes and a simple data workflow make it practical to begin with one location and extend the system across additional trails as requirements grow.

How the system works

Trailsense detects anonymous WiFi signals from nearby devices and converts them into aggregated visitor counts.

Detection

Sensor nodes detect WiFi signals from nearby smartphones.

Processing

Data is processed directly on the device and anonymized.

Transmission

Only aggregated counts are sent via mobile network.

Dashboard

Data is visualized in a dashboard with daily and hourly trends.

A hiker on an alpine ridge during the Trailsense pilot project

Tested in a real alpine environment

The system was tested in a pilot project on a hiking trail leading to the Arzler Alm.

Two sensor nodes were installed:

One directly next to an existing AI-based counting station
One along the trail to measure visitor movement

This allowed us to validate the system and compare the results with an established solution.

Make better decisions with real trail data

Instead of relying on assumptions, you gain clear insights that support planning, improve visitor experience, and help protect natural areas.

Manage overcrowding

Identify peak times and heavily used areas

Plan infrastructure

Use data to support investments and maintenance

Protect natural areas

Monitor usage and react early to environmental pressure

Transparent & privacy-friendly

No personal data collection

Interested in using Trailsense in your region?

We offer tailored setups depending on your needs and trail network. Get in touch with us to discuss your use case or request a demo.

Or call us directly+43 660 1997454