VisioSense
Our goal is to make cities smarter, safer, and more efficient by unlocking the potential of existing camera infrastructure. Using advanced computer vision and artificial intelligence, we transform camera footage into actionable traffic insights. Our technology helps cities understand traffic flow, identify safety risks and congestion, and make informed decisions about infrastructure and traffic management.
Products
Traffic intelligence products built from your existing camera infrastructure.
Road-User Classification and Counting
Request a demoUnderstand traffic volume and composition with accurate vehicle, pedestrian, and cyclist counts by type, lane, and time of day.
Active Road-User Travel Survey
Request a demoSurvey how vehicles, pedestrians, and cyclists move through intersections with detailed trajectory and turn counts. Identify risky interactions before they become collisions.
Parking Occupancy and Duration Survey
Request a demoMeasure parking occupancy, turnover, and stay duration to understand how spaces are used throughout the day.
Automatic Number Plate Recognition Survey
Request a demoAnalyze number plates across camera views to support vehicle identification, movement surveys, and traffic pattern analysis.
AI-Based Traffic Anomaly Understanding
Request a demoUse AI to surface unusual congestion, stopped vehicles, and unexpected road activity as it happens.
City-Scale Road-User Travel Survey
Request a demoSurvey road-user movement across multiple camera views and city networks to reveal routes, travel times, and travel patterns.
Our Projects
A showcase of our computer-vision traffic analysis work.
Low Frame-Rate Vehicle Counting and Tracking — Bath, UK
A low frame-rate vehicle counting and tracking pipeline built for battery-powered traffic cameras in Bath, reaching 98% accuracy against a human-labelled dataset.
Read full write-up →
AI-based Traffic Anomaly Analysis
A multi-modal large language model system that detects, reasons about and understands traffic anomalies in video and explains what happened.
Read full write-up →
Multi-Camera Vehicle Tracking — Carmel, Indiana
A multi-camera system that tracks vehicles across a city's traffic cameras to reconstruct full vehicle journeys, developed with the City of Carmel, Indiana.
Read full write-up →Our Team
VisioSense is a University of Bath spin-out turning cutting-edge AI and computer vision research into practical, deployable solutions. We started VisioSense to bridge the gap between academic innovation and real-world needs, using our technology to solve problems that matter.
Sam Lockyer
Co-Founder
Yuqiang Lin
Co-Founder
Nic Zhang
Scientific Advisor
Get in Touch
[CONTACT DESCRIPTION] — interested in our traffic analysis services? Reach out and let's talk.
contact@[companyname].com[ADDRESS / LOCATION PLACEHOLDER]