Camera view of cartons on a conveyor, each one counted as it passes
#1248
#1247
Count 1,248 · plan 1,300

Automated counting

Count items, animals or events automatically from camera footage, so teams stop counting by hand. Many operations still count cartons, animals and pallets by hand, so mistakes are found late.

1,248Cartons today
1,300Planned by now
52Below plan
The problem

Why it matters.

Many operations still count cartons, animals and pallets by hand, so mistakes are found late. Stock, production and billing records stop matching, and disputes are hard to settle.

What it detects and measures

  • Items, cartons or products passing a point
  • Animals moving through races, pens or loading areas
  • Pallets or units loaded and unloaded
  • Counts by hour, shift, lot or truck
  • Differences between counted and expected numbers

Typical applications

Livestock receival and yardsProcessing and packing linesLoading docksWarehouses
How it works

Set up in four steps.

Self-service, in the browser, on the cameras you already own.

  1. 01Connect

    Uses the cameras already seeing the line, gate or loading area. No new hardware.

  2. 02Set the rule

    Choose what to count and where, such as cartons crossing a line or animals passing through a gate.

  3. 03Measure

    Counts each item or event as it happens, and groups the counts by shift, lot or truck.

  4. 04Act

    When counts don’t match the expected numbers, the supervisor is alerted.

Alerts and results

What your team gets.

Alerts reach the person who can act, with the time, place and frame. Every event is kept for reporting.

Truck 3 unloadedAnimal count recorded
Carton count below planLine supervisor alerted
Count doesn’t match the delivery noteFlagged for review

For operations

  • Accurate counts without manual tallies
  • Mismatches found as they happen

For the business

  • Less staff time spent counting
  • Stock, production and billing records that match
  • Faster settlement of disputes with suppliers and customers
  • Better planning from reliable activity data
Start small

Try automated counting on your own cameras.

Send us your camera list, the area that matters and some sample footage, and we’ll demonstrate what your cameras can measure today.

Start with one camera
Contact us

Talk to the Eye4.ai team.

Tell us a little about you and what you would like to know. We reply within one business day.

I would like to

Footage credits

Demonstration footage. Some clips are AI-generated with Google Flow. Others are sample videos from Intel (CC BY 4.0; changes were made: clips are trimmed and overlaid), OpenCV sample data and Mixkit. Detection boxes come from an object-detection model run on each clip; labels and metric values are illustrative.