Real-Time Computer Vision: Why the Model Is Just the Start

Building a real-time computer vision product requires more than a good model—it demands a reliable pipeline for sensing, deciding, and acting within strict latency budgets. Real-world accuracy often differs from curated test results due to unpredictable lighting, angles, and backgrounds. The author, who developed a responsive racquet-sport wall called Raqts, emphasizes that the entire loop must be fast and dependable for the product to feel seamless.