Object counting with computer vision sounds straightforward. In practice, it is one of the most technically nuanced CV deployments you can attempt. This is a complete map — from first principles to live production — including how Cluedo Tech solved it.

Introduction The statistics are uncomfortable. Depending on which research you read, somewhere between 70% and 85% of enterprise AI projects fail to move from pilot to sustained production. This is not because the technology doesn't work. The demos work. The pilots work. The proof-of-concepts impress the boardroom. The failure happens in the journey from controlled experiment to live, scaled, operationally embedded system. And the failures are not random — they follow a patte

Computer vision is no longer a technology reserved for factories and warehouses. It is quietly transforming the shop floor — tracking products on shelves, understanding how customers move through a store, and flagging potential theft before a human security guard would even notice. For retailers under pressure from e-commerce competitors, AI-powered cameras are becoming a genuine competitive differentiator. The shift is being driven by the convergence of affordable hardware,