Diseño e implementación de un prototipo para la detección de fumadores en áreas restringidas mediante Inteligencia Artificial

Abstract

In many environments, anti-tobacco policies are essential for health and safety, but often lack efficient systems for enforcement. The thesis addresses the development of a prototype that uses artificial vision techniques to detect smokers in restricted areas. To do this, a Raspberry Pi, a webcam, and a set of speakers are used to issue a warning when a detection is made.