AI Case Study

Intel is planning to use emotion recognition to prevent traffic mishaps by tailoring inside car features to suit driver's emotions

Intel is developing an Advanced Emotion Recognition Engine using visual and audio input, to distinguish between distinct emotions. The virtual assistant will then tailor features like voice and tone, music, radio channel, lights etc to better suit the driver's state of mind. Additionally if the driver appears to be intoxicated, the engine won't start. The technology is expected to find application in automobiles of the future to prevent accidents and other mishaps.

Industry

Consumer Goods And Services

Automobiles And Parts

Project Overview

"Intel is developing an Advanced Emotion Recognition Engine, a highly sophisticated software that can detect seven distinct human emotions: disgust, anger, fear, sadness, happiness, surprise, and contempt and use it to guide drivers in an attempt to reduce traffic mishaps. The engine takes both visual and audio data inputs to accurately gauge human emotions. By pairing a visual camera and microphone with smart AI software, scientists are trying to create a machine that can gain insights from digital content and understand a human being’s emotional state.

Based on the analysis derivers will receive music and video recommendations as well as lighting and heating adjustments.

When the AI engine is paired with a camera in a car, the vehicle wouldn’t start if the technology detects that the driver is intoxicated."

Reported Results

Research; Results not yet available

Technology

Function

R And D

Product Development

Background

Intel attempts to make roads safer by using emotion recognition to better understand driver's state of mind.

Benefits

Data