Real-Time Object Recognition using Multimodal Deep Learning on the Edge

Introduction ===================================================== Real-time object recognition has been a long-standing challenge in computer vision, particularly in environments where data is scarce and latency is a concern. Traditional approaches to object recognition rely heavily on pre-trained models, which may not generalize well to new environments with limited data. In recent years, researchers have been exploring the potential of multimodal deep learning to address this problem on edge