Museums worldwide, in response to advances in the Industrial Revolution and artificial intelligence, have adopted digital technologies such as sensors and machine learning to enhance the reconstruction and presentation of ancient objects, environments, and prehistoric animals, offering more enriching experiences for visitors. One such technology is augmented reality (AR), which creates interactive environments allowing users to explore and engage, enhancing the quality and interactivity of visits. This article presents an AR system developed for the “Gustavo Orcés” Natural History Museum at the Escuela Politécnica Nacional. The system uses a camera and computer to process images and detect people using Histogram of Oriented Gradients (HOG) and Support Vector Machines (SVM) techniques, which determine if the image matches a person. During testing, deficiencies in user detection were found due to lighting variations in the installation area, leading to the integration of low-cost presence sensors into the system: one based on PIR sensors and another using ultrasonic sensors, aimed at improving detection and ensuring effective system activation. After testing, it was concluded that the PIR sensor proved more effective. The system includes an application developed in Unity that displays interactive 3D models of dinosaurs, enhancing interactivity and providing an immersive experience for visitors. The combination of software and hardware in person detection achieved 100% effectiveness after resolving lighting-related technical issues. This technological integration not only enriches learning but also represents an innovative step forward in how museums interact with their audiences.