Smart glasses with advanced visual aid features are a primary instance of how recent advances in the IoT and machine learning have creative solutions for the care of the elderly. These Internet of Things (IoT) devices use machine learning methods, most especially Convolutional Neural Networks (CNNs), to help the elderly with a variety of tasks in real-time, thereby improving their quality of life. This research delves into incorporating CNN algorithms into IoT smart glasses, specifically examining features like object identification, text enlargement, and fall detection. It goes over the theoretical underpinnings of CNNs for image processing, how they may be personalized to meet the specific requirements of individual users, and how they facilitate telemedicine and remote healthcare monitoring. It also optimized the user interface and thought about optimized privacy and security to ensure it works in senior care settings. This investigation highlights the revolutionary effect that CNN-powered IoT smart glasses might have on the autonomy, security, and general well-being of the elderly. It also emphasizes the potential for their widespread use in healthcare transformation. © 2025 Elsevier B.V., All rights reserved.