Desarrollo de un dispositivo de reconocimiento facial de mascotas mediante internet de las cosas

Abstract

The project titled "Development of a Pet Facial Recognition Device Using the Internet of Things" introduces an automated system to control pet access using facial recognition technology. The implementation employs a Raspberry Pi 3 B+ and a PiCamera to capture real- time images, with Pygame providing a live preview. For face detection and recognition, the Haar Cascade Classifier algorithm from OpenCV is used. Reference images of authorized pets are stored in Firebase Storage, and Firebase Firestore is used to log entry and exit activities. When a pet is recognized, servomotors are activated to open an automated door. A PIR motion sensor detects the pets' departure and records this activity in Firebase. The system has undergone rigorous testing to ensure its accuracy and functionality, demonstrating the feasibility of using facial recognition for pet access control. The inclusion of sophisticated technologies like the Raspberry Pi, OpenCV, and Firebase provides an efficient and reliable solution, enhancing security and convenience in modern homes.