Object Recognition is a computer vision technique used to identify objects within images or video. It examines visual patterns such as shapes, textures, colors, and distinctive features, then uses a trained model to determine what an object is. The system learns these patterns from example data and applies them to new visual inputs, allowing it to recognize familiar objects automatically.
For example, a retail camera system can recognize products on a shelf and help track inventory. This is useful for reducing manual work and improving consistency. Applications include image search, robotics, security, manufacturing, healthcare, and automated product identification.
