EMOTION RECOGNITION AND DROWSINESS DETECTION USING PYTHON

Abstract

The natural expressions of human emotions are those that individuals enjoy making without exerting any conscious effort, 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 herself are: happiness, grief, surprise and wrath, to mention a few examples: stability, joy, and stability, among others (normality). 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 both 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.