Sussex Police have begun deploying artificial intelligence cameras to identify drivers committing high-risk offences, marking a significant shift toward automated enforcement on the region’s roads. The technology, which launched on Monday, April 13, is specifically engineered to detect two of the most common causes of serious road trauma: the leverage of mobile phones even as driving and the failure to wear a seatbelt.
The initiative targets what officials call the “fatal five” offences—a set of high-risk driving behaviours that disproportionately contribute to road deaths and serious injuries. While the force has not disclosed the specific locations of the AI cameras, the deployment is intended to act as a force multiplier for officers who cannot maintain a physical presence at every high-risk junction or stretch of highway.
This rollout follows a period of intense road safety scrutiny in the county. Over the last three years, 82 people in Sussex were involved in collisions where a driver was using a mobile phone, and 214 individuals were injured in accidents where seatbelts were not worn. The recent systems, supplied by Acusensus, utilize high-speed imaging to capture evidence that is often difficult for human officers to spot in real-time from a distance.
Bridging the Gap in Road Policing
The transition to AI-driven detection is a response to the logistical impossibility of patrolling every mile of the Sussex road network. Chief Constable Jo Shiner, who also serves as the roads policing lead for the National Police Chiefs’ Council, emphasized that the technology is an enhancement rather than a replacement for traditional policing.
“We regularly hear from our communities across Sussex that they are tired of seeing people using their mobile phones whilst driving, therefore increasing the risk to everyone around them,” Shiner said. “While we endeavour to respond to these concerns and proactively patrol wherever possible, the reality is we cannot be everywhere all of the time.”
By integrating these artificial intelligence cameras, the force aims to build a more comprehensive data set on driver behaviour. Shiner noted that the goal is to influence a permanent change in how drivers behave, rather than simply issuing fines. The technology captures both front-facing and overhead images at high speeds to provide clear evidence of the offence.
The Data Behind the Deployment
The decision to deploy these cameras was informed by a rigorous trial conducted by National Highways two years prior. That seven-day trial in Sussex proved the efficiency of the AI system, detecting 458 offences in a single week. The breakdown of those offences highlights the prevalence of seatbelt negligence over phone use in that specific window.
| Offence Type | Number of Detections |
|---|---|
| Failure to wear seatbelt | 330 |
| Mobile phone use | 118 |
| Both offences combined | 10 |
| Total | 458 |
Funding for the current deployment has been sourced through road safety recovery costs, which include revenue generated from speed awareness courses. This creates a circular funding model where the proceeds from previous road safety interventions are used to finance new detection technology.
Operation Spotlight and the ‘Fatal Five’
The deployment coincides with “Operation Spotlight,” a national roads policing initiative running throughout April. This month-long operation has a particular emphasis on seatbelt compliance, aligning with the specific capabilities of the Acusensus cameras.
Police and Crime Commissioner Katy Bourne linked the technology to her manifesto pledges, specifically the establishment of the Fatal Five Unit. Bourne highlighted the urgency of the intervention, noting that in just 12 months, 82 collisions involved mobile phone use and 214 people were injured due to lack of seatbelts.
“This technology will strengthen their ability to detect dangerous behaviours, intervene earlier and reach more locations across our county,” Bourne said, adding that no “moment of convenience” is worth the devastation of a fatal collision.
What Drivers Need to Grasp
For the general public, the primary impact of these artificial intelligence cameras is the increased likelihood of detection for behaviours that were previously difficult to prosecute without a police officer witnessing the act in real-time. The cameras are designed to operate autonomously, flagging potential offences for review by human officers.
Mark Baker, Sussex Police Road Safety Team Manager, has urged the public to take a proactive role in community safety. He suggested that drivers should encourage friends and family members to change their habits, stressing that road safety is a collective responsibility.
The deployment is not permanent in its current form. The cameras will remain in place for several weeks, after which the force will conduct a formal review to determine if the technology has led to a measurable reduction in offences or a change in driver behavior across the region.
The next official checkpoint will be the review process following the multi-week deployment, where Sussex Police will analyze the data to decide if the AI camera system will become a permanent fixture of the county’s road safety strategy.
We invite our readers to share their thoughts on the use of AI in road policing in the comments below.
