Derq is an AI based application for road safety prediction and traffic analysis.
Derq is an AI-based application using cameras and sensors to predict cars and pedestrian behaviour on the road. It also provides alerts to connected cars and road owners in case of danger on the road. This application aims to increase road safety.
Generally cities with road cameras are targeted. The application is deployed in Dubai, UAE; Ohio, USA; and Vienna, Austria
Goal 9: Industry, innovation and infrastructure
Road owners, electric car owners
This product is currently in the prototyping phase and not yet manufactured at scale.
Road owners or electric car manufacturers can reach out to Derq for installation and deployment of the application
Derq is a system relying on Artificial Intelligence and V2X (Vehicle to Everything) to increase road safety. The system relies on the network of roadside cameras to predict pedestrian and car behaviour. The cameras equipped with sensors would be placed at roadsides and at busy junctions. They could then scan for poor driving and high speed. The system would collect all these data. Derq’s patented technology uses the data to send an early-warning or alert message about the danger from other vehicles to drivers of cars in the network, such as sensing when a driver at an intersection would run a red light. The system would then alert other drivers in a 2 s time lapse.
Tests have been running in Dubai, no results are available
Dubai Silicon Oasis Authority, Roads & Transportation
Halim, Z., Kalsoom, R., Bashir, S., and Abbas, G., 2016, Artificial intelligence techniques for driving safety and vehicle crash prediction. Artificial Intelligence Review, Springer Netherlands.
Testing on roads equipped with cameras
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