Updated on June 28, 2024

·

Created on October 21, 2020

Derq

Upcoming Update

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

Developed By
  1. Derq Inc.
Tested By
  • Dubai Roads & Transportation Authority
Content Partners
Unknown

Author

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.

Target SDGs

SDG 9: Industry, Innovation and Infrastructure

Target Users (Target Impact Group)

Household, Community

Distributors / Implementing Organizations

MOU with Government of Dubai

Manufacturing/Building Method

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

Intellectural Property Type

Copyright

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

None

Expected lifespan (years)

N/A

Maximum span (m)

N/A

Maxiumum load (kg)

N/A

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.

Product Schematics

Technical Support

Unknown

Replacement Components

N/A

Lifecycle

N/A

Manufacturer Specified Performance Parameters

Safer, smarter roads using AI

Vetted Performance Status

Tests have been running in Dubai, no results are available

Safety

Unknown

Complementary Technical Systems

None

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

Unknown

Evaluation methods

Testing on roads equipped with cameras

Other Information

More information about the product is contained in this article; Can smart sensor systems anticipate and avoid danger?

Leave a Reply

Explore similar solutions

Agriculture

June 23, 2024

Code for America

Read Solution

Implemented by

Code for America

Agriculture

June 22, 2024

OX Truck

Read Solution

Implemented by

OX Global Ltd

Agriculture

June 24, 2024

RugGear RG160 Pro

Read Solution

Implemented by

RugGear

Agriculture

June 19, 2024

Moja

Read Solution

Implemented by

BRCK

Agriculture

June 12, 2024

Skyfish M6 UAV

Read Solution

Implemented by

Skyfish

Agriculture

January 21, 2024

Reppie Waste-to-Energy

Read Solution

Implemented by

Cambridge Industries Ltd.

Agriculture

June 6, 2024

emocha

Read Solution

Implemented by

emocha Mobile Health

Agriculture

June 1, 2024

Rainforest Connection

Read Solution

Implemented by

Rainforest Connection

Agriculture

June 29, 2024

EXGbuds

Read Solution

Implemented by

Ker-Jiun Wang

All Solutions

Contribute to E4C's Library of Breakthrough Sustainable Development Technology Solutions

Suggest A Solution

Get more information about Solutions Library and its features.

Learn More

Have thoughts on how we can improve?

Give Us Feedback

Join a global community of changemakers.

Become A Member