The Model Is the Easy Part: What a Real-Time Computer Vision Product Actually Takes

TL;DR AI
2 min readKey summary
Computer vision is usually an end-to-end pipeline problem, not just a model problem.
Real products need representative accuracy, tight latency budgets, and the right deployment architecture.
The Raqts racquet-sport wall example shows how a slow or brittle vision loop can fail in practice.
The article reframes CV success as product and systems engineering, not just model performance.
