Emotion Recognition And Drowsiness Detection Using Python

Abstract

The natural expressions of human emotions are those that
individuals enjoy making without exerting any conscious effo rt ,
and which are followed by the reflexing of face muscles rather
than any deliberate effort on the part of the individual . Among
the most basic feelings that a human face might express
depending on the scenario in which one finds himself or hersel f
are: happiness, grief, surprise and wrath, to mention a few
examples: stability, joy, and stability, among others (normali ty) .
As part of this work, we present software that detects and
recognises faces, as well as providing a wealth of additional
information about that individual. This information can be used
to solicit feedback from customers, or to determine whether a
person requires an incentive to engage in certain behaviours.
The ultimate goal of the project is to build a product that is b o th
cost-effective and efficient in terms of operation and
maintenance. AI and DIP technologies were employed in the
development of the system, which was written in Python and
implemented using Artificial Intelligence. When it comes to
avoiding an accident or tragedy, the ability to recognise eye
blinking is vital in a variety of situations, such as driving or in
security vigilance scenarios. The fact that the system also
recognises the identification card makes this a fundamental
function. As a result of the training provided, the camera that
has been installed initially focuses on the card and recognises its
form and colour before going on to the next item.