We were delighted to catch up with London TechWatch to explain more about the use of our sensor technology, our experience of building a startup in this sector, our latest funding round and our future plans. Who were your investors and how much did you raise? We raised £5M of Series A funding in a VC roundRead More
West Midlands 5G (WM5G) has partnered with Viva to validate the application and use of 5G-enabled smart sensors to accurately identify and classify road usage in real-time. Two roads near Solihull (Lode Lane and Damson Lane) that regularly receive high volumes of traffic were identified for the trial. Lamp posts were equipped with Viva smartRead More
Our Zenzic CAM Creator series continues with the founder of Viva, Mark Nicholson. Viva uses sensors, cameras and artificial intelligence (AI) to provide “up-to-the-minute data on urban movement”, helping local councils to promote active travel, improve safety and reduce congestion. Big Brother you say? Well, it’s 2020 not 1984 and CEO Mark Nicholson is veryRead More
It’s been great to see the latest incoming coverage surrounding our sensors and how we monitor travel. However, it’s understandable that, without prior knowledge of how this new technology works, some people see us veering headfirst into an all-seeing, omniscient network of “Big Brother” cameras monitoring our every move. This isn’t what we stand for.Read More
Our COO Peter Mildon was invited on to BBC Radio Kent 09.30 on Wednesday 7th October to discuss our recent sensor projects in Kent. Peter discussed how the sensors work with regards to supporting local councils with traffic flow and measures. He also allayed any fears around privacy with regards to the sensors not recording/streamingRead More
Artificial intelligence (AI)-powered traffic lights will be trialled in Manchester to assess whether they can efficiently reduce pollution and congestion as part of a £30m investment in 5G technology. The project plans to use intelligent sensors to detect speed, path, journey time and queuing data for vehicles, cyclists and pedestrians travelling along the city’s roads. The sensors, running AIRead More