Morocco’s police are showing off two new smart patrol cars that use artificial intelligence to help spot crime faster and respond in real time. The General Directorate for National Security, known as DGSN, is presenting the vehicles during its Open Doors Days in Rabat, which run until 22 May.
The two vehicles are called Amane and Madar. They were built by DGSN engineers and are designed to act like mobile surveillance units on the road.
Amane is a patrol car fitted with wide-angle cameras and a small drone that can launch from the roof while the vehicle is moving. It uses artificial intelligence to read licence plates and spot stolen or suspicious vehicles in real time, with a 95-percent accuracy rate. It can also help identify wanted people and send alerts instantly to command centres.
Madar is designed to turn a normal police car into a full 360-degree monitoring system. It uses a special light bar fitted with cameras that cover every angle around the vehicle, removing blind spots. It also uses the same AI tools as Amane to recognise faces and licence plates. Officers can connect it to the Smart.VIEWER app, which helps them coordinate responses in real time.
Both vehicles rely on AI systems trained specifically to read Moroccan licence plates. They are also linked to national security databases that can quickly flag matches for wanted individuals.
All the processing happens inside the vehicle using what is known as edge computing. This means the system makes decisions on the spot without needing to send everything to external servers first. When a match is found, encrypted data is sent straight to a central command centre, where it appears on live dashboards used by police teams.
Morocco is now joining a growing list of countries using AI in policing. In Dubai, police already use smart patrol cars with drones and automated recognition systems. China has introduced autonomous police vehicles and robots in some cities. In the United States, AI tools are used more in separate systems, although some states are now testing integrated platforms.
