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ADKKI

Automatic multi-chamber quality control machine

Detecting live insects in grain samples — with image processing, without manual work.

What it does

ADKKI

ADKKI detects live insects in small grain samples taken from a much larger load. Its job is purely diagnostic — nothing more is done with the grain, as the samples are small.

It finds insects, larvae, worms and other small pests in grain. Dead pests in a load are acceptable — the problem is live ones, which multiply fast in the favourable conditions of a grain store and do serious damage to the stock.

So the sample is warmed to wake live but inactive pests. Once awake they can be told apart from grain, dead insects and other objects by their movement — the principle today’s identification methods rely on.

Core task

Warm a grain sample and, using image processing, detect whether live (i.e. moving) pests are present.

Images can also be passed to a higher-level computer system, where they are displayed and stored to train classifiers.

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Main advantages

Automatic pest detection in grain samples — at intake points and other grain logistics points.

Replaces time-consuming manual work.

Grain can be checked outside laboratories too — preventive control across the whole production cycle.

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About the project

Image processing, recognition and classification have grown fast in recent years — thanks both to more powerful hardware and to new algorithms. Systems thought impossible ten or twenty years ago are now widely used, in industry too.

Image processing extends traditional control and quality-inspection systems and automates work that used to take a lot of skilled labour — especially in industries with irregularly shaped biological products. Agriculture is one of them.

SIA Cerera Solution holds a patent for developing this type of machine. The project was carried out with RTU Design Factory. Earlier attempts to build a design were made together with LLU; ADKKI is a new approach to the task.

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Product development

01

Concept and idea

02

Technical and economic feasibility study

  • computer-vision algorithm for the machine
  • descriptions and assessments of possible solutions
  • user-interface sketches
03

Experimental development

  • experimental model of the machine
  • experimental version of the user software
  • control electronics and automation
  • demonstration model
  • parts specification
  • insect recognition software
The project was developed with the support of the Investment and Development Agency of Latvia (LIAA) and the European Regional Development Fund project “Technology Transfer Programme”.
From idea to prototype
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Contacts

Let’s talk about your grain

We will answer your questions and advise you on request.