Vivacity has worked on a variety of Smart City projects across the UK. Our portfolio includes:

• Car Parking Sensing - using our proprietary video analytics capabilites, we have developed an extremely low-cost car park occupancy sensor, capable of providing real-time data to a central data hub at a fraction of the cost of floor-mounted sensors. This can be used to generate a simple measure of current occupancy on a space-by-space basis, or to examine more detailed metrics, including dwell time, vehicle type, and routing around the car park


• Bus Occupancy Sensing - through mounting unobtrusive sensors in buses, we can measure real-time occupancy and accurate bus locations across an entire network


• Traffic Monitoring - from pedestrians to vehicles, cyclists to trucks, our traffic monitoring solution can provide real-time data about how people are using space. We can measure not just speed & counts, but look at distributions and heatmaps - where exactly are pedestrians crossing the road? How do cyclists and vehicles interact at this junction? What paths do different road users take?

Our expertise in Road Transport is focused on real-time monitoring and data provision

• Traffic Monitoring - from pedestrians to vehicles, cyclists to trucks, our traffic monitoring solution can provide real-time data about how people are using space. We can measure not just speed & counts, but look at distributions and heatmaps - where exactly are pedestrians crossing the road? How do cyclists and vehicles interact at this junction? What paths do different road users take?


• Cyclists - monitoring the movement of cyclists on the road has been a historic problem for sensing technologies. Now, using the latest machine learning techniques, we have developed an accurate, general purpose detector for sensing cyclists.

In the rail sector, we use the large number of video feeds already present to generate deep insight about the operations of a station

• Predictive Management - our solutions integrate with existing CCTV, using this to extract key information about movement of passengers around the station. Once we have enough data, we combine this with other data sources to create cutting-edge predictive models, updated in real-time. These models give station managers a view of queues & problems around the station hours in advance, and enabling station managers to pre-empt (rather than simply react) to issues


• Long-term Analytics - while gathering this data to inform real-time models, our software also analyses typical movement patterns around the station, capturing footfall at each point around the station and the paths taken. This data is key for optimising both rail infrastructure and ancillary revenue streams, such as retail rents and advertising income