Food & beverage

AI food quality inspection and grading

Grade, sort and count at line speed: nuts, seeds and produce by quality class, and boxes checked complete before they are sealed.

Test it on your parts +39 049 825 6850

Free test on 20 parts
Results in 5 to 7 days
Running in one day
From €1,200/mo, no CAPEX

Chicory seeds on a tray, each detected and labelled, with double-tipped seeds flagged in green — Seed defects

What it checks

The defects that cost food & beverage producers the most.

Trained on your parts, with your OK and NG examples. Each decision is stored with its image.

Grading by size and colour
Broken and split product
Foreign matter
Discolouration and mould
Missing items in a box
Seal and label check

Mixed nuts on a wooden table: cashews, almonds, walnuts, hazelnuts and pecans — Food

Hands placing chocolates into a box while the camera checks the tray — Box check

Seeds on a grey tray, each one boxed and classified by variety — Seed sorting

Why it matters

Where manual inspection breaks down.

The same three problems come up on almost every first call in this sector.

01
Manual sorting does not scale

Sorting teams are hard to hire and grade differently from each other. The model applies one standard, 24/7.
02
A missing piece is a complaint

An incomplete premium box reaches a retailer and costs a listing. Every box is counted before it closes.
03
Waste hides in the grade

Good product graded down is margin lost. Consistent grading keeps premium product in the premium class.

Case study · Venchi

Premium chocolate boxes counted and verified before sealing

component count accuracy: 100%; component count accuracy
packaging completeness: 99.9%; packaging completeness
per box: 0.5 s; per box

Read the full case

How it works

From your parts to a running station in three steps.

No machine vision engineers on your side, and no CAPEX: hardware, software, installation and support are one monthly fee.

1
Free test

Send about 20 good and defective parts or high-res photos. We train a model and report detection rate, false positives and cycle time in 5 to 7 days.
2
Install in one day

Camera, lighting and edge PC mounted at your station. Operators see OK or NG, with the defect marked on the image.
3
Improve every week

Every result is logged. When your parts or specs change, we retrain the model as part of the plan.

Applications

AI vision in food & beverage, in detail.

Questions

What food & beverage teams ask first.

Rather talk it through? Call +39 049 825 6850 or write to info@logirobotix.com.

Can it work with wet or dusty product?

Yes, with the right housing and lighting. We check your conditions during the free test.

How fast can it grade?

It classifies each item in milliseconds, so throughput is set by your conveyor, not by the model.

Can we change the grading rules?

Yes. Classes and thresholds are set with you and can be retrained when your product or customer spec changes.

Free feasibility test

Test it on your parts.

Send us 20 defective parts or high-res photos. We train a model on your parts and show you detection rate, false positives and cycle time before you sign anything.

parts or photos: 20; parts or photos
days to results: 5-7; days to results
no commitment: €0; no commitment