![]() This leads to the need to adopt new systems in both commercial and non-commercial environments: smart doors. Thus, the proposed approach is expected to improve the safety of automatic doors, thereby making them smarter and more intelligent.Ĭonventional automatic doors cannot distinguish between people wishing to pass through the door and people passing by the door, so they often open unnecessarily. Our evaluation of different classifiers indicates that SVM is capable of classifying the instances correctly while achieving about 88.9% F-score. In this study, an AI-based automatic door system is proposed, which uses a supervised machine learning approach to train classifiers using human body measurement. To address this problem, researchers have proposed solutions ranging from the use of fuzzy logic to rule-based approaches to make automatic doors better than the previous ones. However, it does not have the intuition to understand when a person is not authorized to go outside based on their age limit, for example, children. ![]() The automatic door gives access to go into or outside a building by sensing the approaching individual using sensors. The widespread adoption of automatic sliding doors in both commercial and non-commercial environments globally has necessitated the need to improve their efficiency, safety, and mode of operation.
0 Comments
Leave a Reply. |