VIDEO ANALYTICS
for SMARTER JUNCTIONS

At Route Konnect, we use video analytics to provide an understanding of vehicle movement across spaces, helping our customers to improve the design of locations and optimise flows in real time – saving time, money, and our planet.

Today’s need for accurate traffic data goes far beyond just counting cars at traffic lights.

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To solve legacy problems and plan for the future, town planners, traffic surveyors, and local authorities need rich, joined-up information on how road users move through our cities.

Conventional analytics rely on manual counting, which is notoriously slow, inaccurate, and one-dimensional. Technological solutions are more advanced but often suffer from one-size-fits-all approaches.

Our world-first innovation allows us to map entire journeys across multiple camera sites fast, accurately, and automatically, all without the need for facial recognition.

Our solution takes footage from the cameras typically deployed by traffic surveyors and, using our advanced AI, automatically detects, counts and categorises vehicles, and monitors those vehicles across multiple cameras to determine traffic flows, volumes and turning counts.

Designed For Effortless Traffic Analysis

MOVEMENT ANALYTICS FROM VIDEO

We provide customers with analytics from pre-existing video that is uploaded to our secure online platform. Our solutions are cost-effective, and our team is always on hand to answer any questions. 

MULTI-CAMERA TECHNOLOGY

Our multi-camera approach enables us to capture an entity's full journey, even across large locations. Our innovative technology ensures there is no need for invasive facial or number plate recognition – a world first.

AUTOMATED, COMPUTER VISION BASED APPROACH

Our Computer Vision-based approach is robust and efficient – we guarantee high levels of accuracy and a 3 day turnaround time for projects. By using Computer Vision over a manual count we can offer our customers additional outputs such as desire lines, heat maps and digital twin displays.

USING EXISTING CAMERA INFRASTRUCTURE

Our technology can use existing infrastructure, eliminating the need to purchase expensive cameras, or lock into long contracts for closed off hardware. Our algorithms can perform on low-resolution footage (minimum 640×480) and low capture frame rates (minimum 5 captured frames per second).

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Movement Analytics from Video

Multi Camera Technology

Automated, Computer Vision Based Approach

Using Existing Camera Infrastructure

Additional Features (Desire Lines, Heat Maps and Digital Twin Displays)

Our Mission

Efficient city life is key to a sustainable future. More than that, we believe all city travel should be enjoyable - and that begins with understanding the patterns of movement on and around our roads.

We are developing intelligent and privacy-preserving traffic systems that help measure, guide and optimise the movement of all road users to make city life healthier, safer, and more liveable...

...so our precious time and resources can be spent on what really matters.

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