Cameras to Detect use of Mobile Phones being Introduced in Cyprus

Cyprus is preparing to introduce its first artificial intelligence-powered traffic cameras designed specifically to detect drivers using mobile phones.

Two new fixed cameras are being installed on Griva Digeni Avenue in the Engomi area of Nicosia, replacing older equipment that is no longer operating. The cameras will monitor traffic in both directions and use AI technology to identify motorists holding a mobile phone while driving.

The system analyses images of passing vehicles to determine whether the driver’s hands are on the steering wheel. If a potential offence is detected, the footage is reviewed by a police officer before any fine is issued, ensuring that the final decision is made by a person rather than the AI system.

The project will begin as a pilot programme. If successful, similar cameras are expected to be installed at other locations across Cyprus to improve enforcement against distracted driving.

According to Cyprus Traffic Police, driver distraction—particularly from mobile phone use—is a leading cause of serious road collisions and fatalities. Officials say reducing this behaviour is a key priority in improving road safety.

Transport Minister Alexis Vafeades has also highlighted concerns about motorists watching videos or using social media while driving, describing the new technology as an important step towards reducing dangerous driving habits.

In addition to the AI cameras, police are increasing the use of mobile enforcement cameras in urban areas, where many serious accidents occur. Authorities are also examining the possibility of installing average-speed cameras on motorways, which would calculate a vehicle’s speed over a measured distance rather than at a single point.

Meanwhile, police continue to pursue outstanding traffic-camera fines. Tens of thousands of penalties remain uncollected, and new measures—including service at checkpoints and proposed SMS or email notifications—are intended to improve the collection process.