Smart Learning of Machines using Augmented Reality

This work presents a new approach to teaching machines using Augmented Reality (AR) technology. AR is a technology that allows users to interact with a physical environment in a more immersive way. By using AR, machinery parts and their working can be taught more efficiently, as students can learn by observing and interacting with the environment around them. In addition, AR can be used to provide feedback to the machines in a more intuitive manner, allowing them to learn more quickly. The proposed approach uses a combination of sensors, cameras, and computer vision algorithms to detect objects and learn from them. Using this approach, machines can be taught to recognize objects, identify patterns, and make decisions. A proof-of-concept study that demonstrates the effectiveness of the proposed approach is presented here. The results of the study provide evidence that AR-based learning can be used to teach machines more efficiently and effectively.