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Datasheet · Optical sorters · IN

Vector Series AI

by Agrograde (Occipital Technologies)

Potato productsFruit and vegetableVerified 2026-10-23

Deep-learning optical sorter for potato, onion and tomato that turns each item under area-scan cameras for up to 8 images and rejects rot, sprouts, greening, holes and cuts with pneumatic actuators. Agrograde gives 1–20 t/h across configurable variants and states up to 96% detection accuracy (its own figure).

At a glance

t/h · Capacity
1–20
Output streams
2–4
mm · Product size
20–160

Price on request

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How a optical sorter works

An optical sorter looks at food as it moves past cameras or lasers and picks out the pieces that are bad, the wrong colour or not food at all. A computer decides in a split second, and a puff of air or a small finger pushes the bad piece out of the stream. It does the job of a row of people picking by hand, without getting tired.

  1. Step 1: Spread the product

    A shaker or belt spreads product into a thin, even layer so no piece hides another.

  2. Step 2: Look at every piece

    Cameras, lasers or other sensors view each piece from one or more sides as it passes.

  3. Step 3: Decide

    Software compares each piece with the reject rules set for that product and grade.

  4. Step 4: Reject

    Air jets or fingers push rejected pieces into a separate stream; good product carries on.

Specifications

Performance

Capacity1–20 t/h

Configuration

SensorsArea-scan cameras, up to 8 images per item, on-machine deep learning
EjectionPneumatic actuators
Output streams2–4

Format

Product size20–160 mm
Agrograde Vector AI optical sorting line with feed hopper, elevator, vision unit and exit conveyors (maker render)
Agrograde Vector AI optical sorting line with feed hopper, elevator, vision unit and exit conveyors (maker render)Photo: Agrograde · Used with permission

Datasheet (PDF): Agrograde (Occipital Technologies) Vector Series AI datasheet

Vector Series AI: questions buyers ask

What does a optical sorter do?

An optical sorter looks at food as it moves past cameras or lasers and picks out the pieces that are bad, the wrong colour or not food at all. A computer decides in a split second, and a puff of air or a small finger pushes the bad piece out of the stream. It does the job of a row of people picking by hand, without getting tired.

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