ROS

Real Time Computer Vision Projects Real-time computer vision means processing video frames fast enough to react as events unfold. On typical hardware, you often aim for end-to-end latency around 30–50 ms per frame, depending on the task. Achieving this balance shapes every choice, from model size to frame rate and software design. A practical pipeline has five stages: capture, preprocess, inference, postprocess, and display or act on results. Each stage should be decoupled and run asynchronously. For example, you can read a frame while the current frame runs inference, then display results while the next frame is captured. ...