More police forces join National Highways trial of new safety cameras

13.21 | 26 February 2024 |

Image: National Highways

A trial of new mobile technology which can automatically detect motorists who are not wearing a seatbelt or using mobile phones while driving is being extended.

The technology captures footage of passing motorists. These are processed using artificial intelligence (AI) to analyse whether an offence is taking place.

The images are then passed to police for consideration on any action to be taken.

The National Highways trial first launched in 2021, when motorists spotted driving without seatbelts or on the phone by police using the technology were sent warning letters informing them of the dangers of their behaviour.

In partnership with AECOM, the research is now being extended to work with additional police forces to help learn more about how the technology could work on National Highways roads and inform a possible future roll-out nationwide. 

The latest trial began on 19 February and will run until March 2025.

There are plans for the technology to be fixed to gantries for the first time giving an unobscured view of all lanes.

The police forces taking part in the trial are: Durham, Greater Manchester Police, Humberside, Staffordshire, West Mercia, Northamptonshire, Wiltshire, Norfolk; Thames Valley Police and Sussex.

Matt Staton, National Highways head of national road user safety delivery, said: “We know that distracted driving and not wearing seatbelts were key factors in a high number of incidents that resulted in people being killed or seriously injured.

“Working with our police partners we want to reduce such dangerous driving and reduce the risks posed to both the drivers and other people. We believe that using technology like this will make people seriously consider their driving behaviour.

“We will continue to invest in technology that could help make sure everyone using our roads gets home safe and well.”


 

Comments

Comment on this story

Leave a Reply

Your email address will not be published. Required fields are marked *


By continuing to use the site, you agree to the use of cookies. more information

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Close