Abstract
Augmented reality (AR) applications have opened innovative ways for performance improvement in the IoT industry. It can enhance user perception of the real-world by providing valuable information about an industrial environment and provide visual virtual information onto a head-mounted device (HMD). Such information is important for maintainers to quickly detect abnormalities, reduce nugatory routines and facilitate preventive maintenance activities. Since odors are made up of volatile compounds at low concentration, they can be used for olfactory-based identification. The article outlines the development of an olfactory-based AR system to help with the identification of maintenance issues using smell. The prototype comprises of three components: an electronic nose, a database and an AR application integrated with Microsoft HoloLens. After diagnosing an odor, the data is sent wirelessly through a local network to the HMD worn by the user. To validate the technology, four odors have been used, including engine oil, sun lotion, medical alcohol and perfume, to record behaviors and demonstrate the repeatability of the process. The presented technology incorporates sampling methods, cleaning processes and statistical analysis that can be further scrutinized to allow better smell augmentation for diagnosis.
Highlights
Augmented Reality (AR) is a view of the real, physical world in which elements are enhanced by computer-generated input
The analysis presents good repeatability of the final plateau, as it converges to similar ratios
A prototype involving AR for olfactory recognition has been developed to help maintenance personnel with identifying maintenance issues based on smells
Summary
Augmented Reality (AR) is a view of the real, physical world in which elements are enhanced by computer-generated input. The device can recognize significant odors already encountered and saved in its database It demonstrates useful information concerning the identified smell to ease and improve a potential maintenance operation. A state-of-the-art of AR-based smell sensing to understand the complex concepts of odor identification This is to acknowledge the most relevant AR technologies to be used in a maintenance context;. Development of the AR environment and database This provides useful information to the user, including the communication between the e-nose, that retrieves the smell inputs, and the AR device, that provides the data to the user. Olfactory-based research work shows interest in developing an innovative method to evaluate the state of their infrastructures by analyzing odors [18]–[20].
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