Overview
Vehicles must be identifiable for traffic enforcement to work. Yet so-called “ghost plates”, deliberately modified number plates designed to evade detection, are creating a growing challenge for Automatic Number Plate Recognition (ANPR) systems across the UK.
While these plates may appear legal to the human eye, certain modifications can prevent cameras from reliably reading a registration. As concerns grow over their use, authorities face a dual challenge: strengthening enforcement and improving their ability to detect tampering.
With tougher penalties under consideration, technology also has a vital role to play. VidAlert helps address this challenge with high-resolution imaging and AI-powered Tampered Number Plate Recognition (TNPR), designed to identify suspicious registrations and support further investigation.
What are Ghost Plates?
Ghost plates are number plates that have been altered using reflective materials, specialist coatings, modified lettering or other techniques that prevent cameras from accurately reading the registration rendering them illegal. To an observer standing nearby, the plate may appear normal. However, to an ANPR camera, it can become unreadable or distorted, allowing drivers to avoid detection.
Some reflective modifications can interfere with certain camera systems’ imaging performance, depending on the materials used and the camera’s design. Other modifications make individual characters or entire registrations difficult to distinguish. The result can be an unreliable ANPR read, potentially allowing vehicles to evade detection.
A growing problem for UK Enforcement
The scale of the issue is becoming difficult to ignore. Recent evidence suggests ghost plates and other non-compliant registrations may be far more common than expected. Research cited by the Chartered Trading Standards Institute estimates that around one in fifteen vehicles on UK roads could be displaying plates that are illegible to ANPR systems. In a London enforcement operation, approximately 40% of inspected taxi and private hire vehicles were found to have illegal plate modifications that prevented effective camera recognition.
These vehicles can be used to evade speeding fines, red-light cameras, bus lane enforcement, tolls, road-user charging schemes and parking penalties. More concerningly, unreadable plates can also hinder investigations into collisions, uninsured driving and wider criminal activity.
Detecting ‘Ghost Plates’ with AI-powered camera technology
Tackling ghost plates requires more than stronger penalties. Authorities need technology that can identify suspected tampering and capture the detail needed for further investigation.
VidAlert combines high-resolution context cameras with dedicated close-up cameras to capture both the wider vehicle scene and detailed number plate imagery. This helps enforcement teams examine suspected modifications, including faded characters, altered lettering and deliberate obstruction.
Complementing conventional Automatic Number Plate Recognition (ANPR), VidAlert’s Tampered Number Plate Recognition (TNPR) uses a bespoke AI model to identify visual patterns indicative of number plate tampering, including reflective interference and character fading.
When a vehicle meets the relevant contravention criteria, it generates an alert and feeds it into the existing processing pipeline. A reviewer then verifies the contravention, updates the Vehicle Registration Mark (VRM) where possible, and issues a Penalty Charge Notice (PCN) where appropriate.
Looking Ahead
As ghost plates continue to grow, the need for stronger legislation, enhanced enforcement, and smarter technology has never been clearer.
ANPR has become a cornerstone of modern traffic management and road safety. Protecting that infrastructure is essential if authorities are to keep reducing dangerous driving, tackling criminal activity, and ensuring fairness for compliant road users.
Want to stay one step ahead of ghost plates? Contact our experts to learn how VidAlert’s advanced camera technology and AI-powered analytics help enforcement authorities identify tampered registrations.