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People with visual impairments use different kinds of assistive technologies in their daily lives for various activities such as navigation, reading texts, etc. Technological advancements in recent years have enabled developers to actively deploy and expeditiously operate assistive applications in embedded devices. In this paper, we have proposed an assistive wearable system called VisualAid+ for people with visual impairments. Leveraging the power of Tiny ML and Edge AI, a portable wearable assistive system is developed for people with visual impairments for object detection and visual scene narration. A hierarchical approach has been followed to take advantage of the complex prediction model (TensorFlow model), and Lite models (TensorFlow Lite and TensorFlow Lite Micro). This makes the system capable of on-device, as well as server-side, inference. The proposed VisualAid+ system consists of a …