Why are real-time vision and Edge AI a bottleneck on open pitches?

Answered by Engineer Saeed Baatiah — computer engineer and web and mobile developer in Riyadh, serving clients inside Saudi Arabia.

AI & Robotics

Why are real-time vision and Edge AI a bottleneck on open pitches? — answered by Engineer Saeed Baatiah

A robot must decide in fractions of a second, so it cannot wait for a round trip to the cloud — processing happens locally on the device (Edge AI) under tight compute and power budgets. And the wider the pitch, the harder depth perception and ball tracking become: a distant ball is a handful of pixels, and estimating its distance and speed from a 2D image grows less accurate with range. Open space multiplies the computational load precisely when resources are scarcest.

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