Updated on October 21, 2020


Created on October 21, 2020


Upcoming Update

Derq is an AI based application for road safety prediction and traffic analysis.

Developed By Unknown
Content Partners


Product Description

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.

Distributors / Implementing Organizations

Manufacturing/Building Method

This product is currently in the prototyping phase and not yet manufactured at scale.

Intellectural Property Type

Patent Protected

User Provision Model

Road owners or electric car manufacturers can reach out to Derq for installation and deployment of the application

Distributions to Date Status


Design Specifications

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.

Technical Support


Replacement Components




Manufacturer Specified Performance Parameters

Vetted Performance Status

Tests have been running in Dubai, no results are available



Complementary Technical Systems


Academic Research and References

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.

Compliance with regulations


Other Information


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