Abstract
Today, with the arrival of an aging society, the average age of the population is rising. It is known that the physiology of a person degrades with age. There are approximately 285 million visually impaired people in the world, of whom 140 million are elderly people over the age of 50, and 110 million of these visually impaired elderly people suffer from multiple chronic diseases. In the case of multiple medication usage, these 110 million vulnerable people will be more likely to take the wrong medicines or forget to take their medication. To solve this problem, this paper proposes a wearable smart-glasses-based drug pill recognition system using deep learning, named MedGlasses, for visually impaired people to improve their medication-use safety. The proposed MedGlasses system consists of a pair of wearable smart glasses, an artificial intelligence (AI)-based intelligent drug pill recognition box, a mobile device app, and a cloud-based information management platform. Experimental results show that a recognition accuracy of up to 95.1% can be achieved. Therefore, the proposed MedGlasses system can effectively mitigate the problem of drug interactions caused by taking incorrect drugs, thereby reducing the cost of medical treatment and providing visually impaired chronic patients with a safe medication environment.
Highlights
With the arrival of an aging society, the average age of the population is rising, human body functions are declining, and average visual acuity is worsening year by year
Based on the above-mentioned concerns, in this paper, we propose a wearable smart-glasses-based drug pill recognition system using deep learning that provides a convenient drug pill recognition functionality and medication time reminders for visually impaired chronic patients
The proposed MedGlasses system consists of a pair of wearable smart glasses, an artificial intelligence (AI)-based intelligent drug pill recognition box, a mobile device app, and a cloud-based information management platform and is designed to support safe medication use
Summary
With the arrival of an aging society, the average age of the population is rising, human body functions are declining, and average visual acuity is worsening year by year. Kentab et al [4] explored statements regarding medication use by blind patients in Saudi Arabia They reported that the most common challenges encountered by visually impaired patients were linked to dose recognition (for approximately 82% of patients) and medicine recognition (for approximately 75% of patients); the medication information and related services provided were inadequate. Errors in drug use affecting visually impaired patients are expected to cause high medical losses, and such patients may not have access to sufficient support in this regard To overcome this problem, we consider the need for a means of drug pill recognition for visually impaired chronic patients. We consider the need for a means of drug pill recognition for visually impaired chronic patients To address this need, in this paper, we propose a wearable smart-glasses-based drug pill recognition system using deep learning, called MedGlasses.
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