What AI cameras actually do on a warehouse floor (and what they don't)
- Yuneva Stock Count
- Aug 3
- 2 min read

AI video analytics is getting pitched to logistics teams like it's magic. Vendor demos show clean footage, perfect lighting, neat overlays counting pallets as they glide past a camera. Real warehouses have fork traffic, shrink wrap glare, and aisles where the overhead lights have been out since Q3. So let's talk about what this technology actually does when it's working correctly, because there's real value here — it's just not where the brochure says it is.
The strongest use case right now is dock-door activity. A camera trained on a specific door can track when a trailer arrived, when the first scan happened, when the last pallet hit the floor, and when the door sealed. That's not glamorous, but if you've ever had a carrier dispute where nobody could agree on a 45-minute unload window, you understand exactly why a timestamped visual record is worth something. One mid-size 3PL I spoke with said they resolved three carrier chargebacks in a single month after deploying this — not because they got fancy, but because they had the receipts.
Dwell time is another one. Cameras can flag a pallet sitting in a staging lane past a threshold — say, four hours — without anyone having to physically walk the floor to find it. That kind of passive monitoring catches things that get missed on a busy shift. It doesn't replace a cycle count or a WMS, but it fills a gap between scheduled counts and reality.
Where it still struggles: anything that requires reading a label from a distance, anything in a mixed-SKU environment with inconsistent pack sizes, and any scenario where the camera angle changes because someone moved a rack. The AI is only as good as what it can consistently see. That matters because a lot of the pitch is built around AI video replacing manual processes end-to-end, and it's not there yet. It's a supplement. A useful one, but a supplement.
CountIt handles the actual inventory count piece — mobile, barcode-driven, built for the floor. More at www.count-inventory.com. Everything else Yuneva is working on lives at www.yuneva.com.




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