Our Data Explained
All you've ever wanted to know about See.Sense data
How It Works
Our technology transforms bikes, e-bikes, and e-scooters into sensors, generating unique data insights into the rider's experience.
By monitoring the rider's environment 800 times per second, we overcome the traditional gaps in micromobility data to provide highly granular insights.
Our aggregated and anonymised data is accessible through easy-to-use dashboards, providing a complete understanding of rider behaviour and experience.
What are see.sense data insights?
We provide the actionable data insights you need to save time, reduce costs and achieve your mobility goals.
Swerving
Identify areas of high-swerving to anticipate and prevent collisions.
Braking
Use heavy braking patterns as a leading indicator to proactively prevent potential collisions.
Speed
Measure the speed of cyclists to identify patterns and optimize routes for more efficient cycling.
Dwell Times
Analyze cyclist dwell times in specific locations to optimize the layout of cycle infrastructure.
Road Roughness
Measure road quality to optimize routes and avoid damage to bikes.
Movement Patterns
Understand how cyclists move through your city and identify areas for improvement.
Collisions
Track accident hotspots and analyze collision data to improve safety for cyclists.
Survey Reports
Collect feedback from cyclists to gain insights into their experiences.
What makes See.Sense data special?
At See.Sense, we utilise patented AI sensor technology to provide never-before-seen insights into the experience of cyclists and riders:
Unparalleled Granularity
Experience data granularity that goes far beyond traditional app capabilities. Detect road conditions, swerves, braking, collisions, and more.
Mobile & Near Real-Time Insights
Overcome the limitations of static counters or cameras; expand coverage with near-real-time data for intelligent transportation systems (ITS) applications.
Patented AI Technology
Our technology monitors the rider's environment 800 times per second for contextual awareness and powerful data insights.
How Is the Data Collected?
We gather data in two ways to suit your project needs. With our ICON3 bike lights, data is collected through the See.Sense app, making it perfect for distribution among private cyclists. For bike, e-bike, or e-scooter share schemes, our SUMMIT Trackers offer seamless data collection.
ICON3 Bike Light
Distributed to cyclists on private bikes, with anonymised data collected through the See.Sense app.
See.Sense Summit Tracker
Installed on bike, e-bike or e-scooter share schemes, allowing for seamless data collection on private or shared fleets.
Visualise Data with Easy To Use Dashboards
Our data dashboards provide a user-friendly interface for accessing and analysing the wealth of data we collect. Dive deep into the data and unlock valuable insights to drive informed decision-making.
Explore Data Use Cases
Cycle Infrastructure Planning
See.Sense projects are supporting cities to develop attractive and inclusive cycle networks and Local Cycling and Walking Infrastructure Plans (LCWIP), as well as monitoring usage pre and post investment.
Vision Zero and Cycling Data
Our technology is helping cities to collect data to support vision zero targets. Find out more about how our sensor data can support a safe system approach to proactively identify risk factors.
Cycling and Intelligent Transportation Systems
Find out what role ICT has to play in getting more people cycling, and discover how See.Sense is helping to lead the way in integrating data into wider mobility systems - creating better conditions for cycling.
Road Surface Monitoring
Learn more about our cost effective patented sensor technology, deployed to capture road surface data. Our data can be used to improve road safety and to prioritise road maintenance schedules.
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