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On a busy shopfloor, a missed helmet, missing goggles or an uncovered arm is spotted only when a supervisor happens to look — or after an incident. Manual spot-checks can't watch every worker, every minute.
In a barn holding tens of thousands of birds, a sick or immobile animal goes unseen for hours between manual rounds. By the time staff notice, disease has already spread and mortality is climbing — a preventable loss that eats straight into flock yield and margin.
Forklifts and people share the same floor, and a near-miss is usually noticed only when it becomes an accident. No one can watch every aisle for unsafe distance and speed at once.
Verifying that the person at the desk is the same person on the passport is slow, manual and error-prone — and hard to do consistently at volume across many checkpoints.
Drive-through ordering is bottlenecked by staff taking every order by voice — slow at peak, inconsistent, and hard to scale across lanes and hours.
After-hours perimeters and fenced work zones go unwatched between guard rounds. A person can step into a restricted area and be gone long before anyone reviews the footage, so the crossing is investigated instead of prevented.
Knowing how many people are inside a building is hard to get right from a raw camera feed. A person who lingers in the doorway gets counted twice, two people walking through together get counted once, and ordinary movement near the door gets tallied as an entry that never happened. Manual clicker counts and turnstiles are costly, intrusive, and fall apart at busy or wide entrances.
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