Dubai's RTA to use five cameras, 20 sensors for driving tests
RTA's Smart Yard features five surveillance cameras, and will see vehicles fitted by 20+ sensors, to review driving skills
Dubai’s Roads and Transport Authority (RTA) has launched Smart Yard, an automated project for driving tests that will use cameras and sensors to review examinees in a five-manoeuvre test and match their skills to automatically approved testing standards.
Cameras and sensors will be attached to the vehicle within Smart Yard to capture information about the unit, such as the use of brakes and seatbelts.
This will in turn relay test images to an interactive screen in a control tower, managed by an RTA employee.
Commenting on the development in a statement, director of drivers’ training and qualification within RTA's licensing agency, Khaled Alsalehi, said: “The project aims to hit multiple targets highlighted by bringing more transparency and reducing the error margin in taking the pass or fail decision in respect of the examinee without human intervention, thanks to the smart system in use.”
The yard is fitted with five surveillance cameras; four outside the testing vehicle to guide the examinee to the five manoeuvres, and one camera on board to verify the identity of the driver undertaking the test, Alsalehi explained.
The vehicle will also be fitted with more than 20 sensors to assist the examinee in avoiding a collision when approaching an obstacle.
The examinee has to pass three tests, called the theoretical knowledge, yard, and road tests.
The yard test comprises of five steps: parallel parking, side or 60-degree parking, garage parking, hill stoppage, and sudden braking.
Alsalehi said Smart Yard would step up efficiency in testing through “automated and coherent operation of several smart vehicles”.
“The system has been applied to 15 testing yards in Dubai, and about 108,603 smart testing processes have been completed since the launch of the project,” he continued.
Alsaleh said Smart Yard would enable the simultaneous monitoring of multiple cameras, thereby increasing the intake of examinees and cutting the numbers on waiting lists.