AI Case Study

Hyundai plans to diagnose crash victims' injuries within seven seconds of an incident using AI

Hyundai aims to reduce road incidence response time by leveraging AI to diagnose crash victims' injuries. In collaboration with MDGo, the car manufacturer wants to provide in-built sensors to be able to rapidly compile and analyse data when crashes occur and then send details to the emergency services within seven seconds of the incident.

Industry

Consumer Goods And Services

Automobiles And Parts

Project Overview

"The Korean manufacturer, in partnership with artificial intelligence (AI) specialist MDGo, is working to reduce incident response delays by providing dispatchers with a clearer idea of exactly what assistance is needed.

The system will use in-built sensors to rapidly compile and analyse data following a crash and then send details to the emergency services within seven seconds of the incident.

The technology is based on an AI programme that will learn by comparing the predictions it makes to the diagnoses made by medical professionals, through a process referred to as 'iterative enhancement’.

Before the technology is rolled out on customer vehicles, Hyundai says the results of its research can contribute to safer and more robust crash structures.

Hyundai’s chief innovation officer, Young-Cho Chi, said: “We expect a significant improvement in the emergency medical services of vehicles in the short-term, while our long-term goal is to provide innovations in passenger experience of vehicle safety utilising new technology that enable real-time physical monitoring.”"

Reported Results

Results not yet available

Technology

Function

Background

"Vehicle safety and incident response are playing an integral part in Hyundai’s ongoing product development scheme."

Benefits

Data