Tracsis can provide Vision-based Survey (VBS) technology for traffic counting. With swift deployment, accurate analysis and bespoke reporting we are market leaders.

We use the most advanced digital equipment with machine learning algorithms that allow us to analyse complex mixed traffic situations including simultaneous road, cycle lane and footpath coverage. 3G/4G enabled sensors to provide data collection and their connectivity gives us live data and instant access to carry out system checks, maintenance and upgrades.

Our sensors use video analytics in order to understand road scenes. Each sensor has an on-board camera, a processor, and 3G connectivity. The camera takes video continuously, and feeds this through to the processor, where machine learning algorithms are used to extract useful data from the complex video feed. The screen capture image below demonstrates the way the algorithm identifying objects from within the video stream.

 Once objects have been identified and classified, the video feed is discarded, and the anonymous data about the number and class of road user is sent to our cloud servers. This is made available to clients through web interfaces.

Given the 3G connectivity, we have complete access to all sensors at any time. This enables a full, real-time view of sensor up-time, remote debugging and maintenance, and remote updates. The capabilities of our sensors are constantly improving with plans to add detailed speed tracking and exploring the subdivision of classes, such as splitting pedestrians into joggers, parents with children, and groups.

We provide an intelligent camera solution, which processes video footage locally on the camera, and only transmits the data required by our clients, rather than the full video stream.

Our technology partners Vivacity Labs have developed machine learning software, which we train to recognise different types of vehicle in the video feed. The tracking software provides a live path and speed of each object within the field of view.

Our software has been designed to be able to classify different road users, due to a deep understanding of local road scenes. Accuracy is typically c. 95%, and the system is extremely flexible in terms of looking at a variety of viewpoints & conditions.

Our data is accessible through our online dashboard which is under development as part of project work in Milton Keynes and for the Canal & River Trust. Special features can be added to the dashboard and we are happy to meet with clients to discuss specific requirements.

A prototype of the dashboard is shown below, allowing the user to select a sensor (shown in purple), choose a date, and then display the classified count for that particular day. We can interrogate the data for trends, average and unusual behaviours, and to compare different sites. Any given view of the data can then be downloaded.

We can also provide the full data extract in various output formats on request.

Our system is GDPR compliant. During normal operation, we utilise “privacy by design” principles. As all video is processed into anonymous data and then discarded on the device, there is no risk of sharing personal data.

No personal data leaves our devices under normal operation. Our devices are all secured and encrypted, as are our servers, minimising risk of any intrusion or cyber-security risk.

Our knowledgeable team plan and execute Vision Based Surveys (VBS) with meticulous accuracy, considering optimum mounting locations and software programming. Watch our video for an illustration of this in practice.