Document details

Using Artificial Intelligence to Prevent Drowsiness Based on Facial Recognition

Author(s): Azevedo, Daniel ; Guedes, Damiana ; Santos, Gonçalo ; Soares, Francisco ; Lopes, Pedro

Date: 2023

Persistent ID: http://hdl.handle.net/10400.19/8140

Origin: Repositório Científico do Instituto Politécnico de Viseu

Subject(s): Artificial Intelligence; Alarm; Security; Control; Car Industry; API; IoT; Artificial Intelligence; Artificial Intelligence; Alarm; Alarm; Security; Security; Control; Control; Car Industry; Car Industry; API; API; IoT; IoT


Description

In Portugal, in 2017, there were 34,416 accidents on the roads. It is estimated that the second major cause of accidents is driver fatigue. In this way, over the years, legislation has been created to mitigate the problem. In parallel with the European Union, the Fédération Internationale de l'Automobile (FIA) has encouraged the automotive industry to develop systems embedded in vehicles to increase their safety and mitigate this and other problems.This approach is intended to be an intermediate solution, as to be the in-between the security of a system embedded in a vehicle and the accessibility of a mobile system. In this way, the project aims to be as cheap, fast and applicable as possible. Using Face API technology provided by Microsoft, it is possible to have access to a set of features based on artificial intelligence, accomplishing tasks previously unthinkable, or very costly.

Document Type Book part
Language English
Contributor(s) Instituto Politécnico de Viseu
facebook logo  linkedin logo  twitter logo 
mendeley logo

Related documents

No related documents