| KEYWORD |
Smart buildings for people with disabilities
keywords AUTOMATION, FACE RECOGNITION, SCADA SYSTEMS, SENSORS, SMART BUILDINGS
Reference persons ANTON PROSKURNIKOV
External reference persons Prof. Alberto Brunete Gonzalez, Universidad Politecnica de Madrid
Research Groups Automatica
Thesis type MASTER THESIS
Description The goal of this work is to develop a home automation system for Minerva Social Cooperative, a young initiative to help people with special needs. The project includes development of a distributed and energy efficient system for control and information processing compliant with open KNX standard. Besides controlling the environment (lighting, heating etc.) and built-in devices, the system should provide monitoring each patient's conditions and collect data that allow a team of psychologists and psychiatrists to assess the impact of the automation on the patient's health and well-being. In particular, a reliable face recognition algorithm is to be implemented that is based on machine learning procedures.
Deadline 25/11/2021
PROPONI LA TUA CANDIDATURA