High-speed capture
High-frame-rate imaging freezes parts mid-fall, even at hundreds of units per minute through a chute or spout.
For lines where parts funnel down through a chute or spout — capsules into a bottle, fasteners into a pack, kernels off a sieve — vision counts each unit in free fall, at speeds beam counters and vibratory scales can't keep up with.

Infrared beam counters miscount when parts overlap or tumble past each other, and weight-based fills drift the moment part weight varies batch to batch — both are common causes of the short-fill and overage complaints that reach QA after the product has already shipped.
A camera positioned across the fall path captures every part individually, even mid-cluster, and a deep-learning model trained on your part's shape separates touching units to deliver an exact count before the pack is sealed.
High-frame-rate imaging freezes parts mid-fall, even at hundreds of units per minute through a chute or spout.
Deep-learning separates touching or overlapping parts that trip up optical or infrared beam counters.
Every unit through the funnel is counted and logged — no more, no less than what the pack requires.
Send us your part and pack format — we'll share a feasibility view and expected accuracy.