VisionTrack, the leading AI video telematics specialist, achieved rapid growth during 2022, experiencing strong demand from commercial fleet operators both in the UK and internationally. The number of cameras connected to its award-winning IoT platform, Autonomise.ai, increased by 43 per cent, with the rapidly expanding US market now making up more than 10 per cent of the overall devices.
“Vehicle operators are increasingly targeting road safety, fleet risk and insurance improvements, so there are huge opportunities for us with our proven and industry-leading video telematics software,” explains Simon Marsh, CEO of VisionTrack. “The functionality, scalability and capacity of Autonomise.ai is making it possible for us to develop sophisticated AI technologies. This is keeping us at the forefront of the marketplace.”
VisionTrack also increased its global workforce by over 40 per cent and doubled its operation in the US. Senior appointments were made to the company’s management, professional services, and development teams, with particular focus on strengthening its computer vision and machine learning capabilities. As a result, VisionTrack was able to accelerate the development of innovative AI video telematics that automate management processes, data analysis and incident detection.
During 2022, VisionTrack continued to champion fleet safety, working with key partners – including Brake, Together for Safer Roads, and Driving for Better Business – to help reduce unnecessary road deaths and injuries. In particular, the company was a co-headline sponsor of Road Safety Week 2022, supporting the efforts of road safety charity, Brake, and launched its own Fleet Risk Reduction campaign that is engaging with vehicle operators to improve work-related road safety.
“Our video-enabled devices are now recording on average 4.0 million driver miles every day, equating to travelling the entire UK road network 16 times over. Furthermore, 35 billion data points a month are collected, as well as 63 million hours of video that would take over 12.5 lifetimes for the average individual to watch. By leveraging this information, we are gaining a unique understanding of vehicle journeys, traffic levels and driver behaviour, which is enabling us to continually push the boundaries of what is possible and support data-driven problem solving,” concludes Marsh.