Teaching computers to recognise objects
One of the techniques used in computer vision is the recognition of objects in images or videos. This represents a key point in deep-learning and machine learning algorithms. The goal is to transfer to a machine the human ability to visually recognise objects around it. The object recognition system is developed using state-of-the-art GPU hardware – NVIDIA JETSON NANO with neural network training techniques. The system in this way can be “trained” to recognise different objects according to the required application.