Oil and protein crop analysis

Quality assessment of OSRAdmixture assessment in OSR/canola

VideometerLab Autofeeder for Oilseed Rape Quality Inspection

With Rapeseed being the world second largest source for vegetable oil (FAO, 2018), quality inspection of this seed is becoming increasingly more crucial to meet the required safety and quality standards with a precise and efficient matter.

The widely spread manual inspection process can often be timely and inaccurate, costing farmers, producers and traders valuable time and resources. With AI-driven multispectral imaging, however, quality control can improve in efficiency, precision and objectiveness.



Videometer is a Copenhagen-based company, with a leading role in the spectral imaging industry since 1999 – the year it was founded. Videometer’s Oilseed Rape Quality Inspection application is an excellent example of how spectral imaging instruments can provide advanced results when it comes to quality control.

The VideometerLab Autofeeder, with its unique features, including 19-20 spectral bands, ranging from UV, through the Visual Spectrum, up to NIR is a one-in-its-kind instrument.

A powerful and sophisticated tool run by machine learning technologies and also capable of measuring fluorescence, it can aid in the quality control of Oilseed Rape in every step of the process: from harvest to oil production, offering a precise and documented analysis of the admixture content. In particular, the content is broken down allowing for the recognition of foreign materials seeds and inert materials.

In addition to being precise, the VideometerLab Autofeeder offers efficient quality inspection – the instrument is, indeed, fast and dynamic providing, in average, a 50 g sample analysis in only 5 minutes with a variation of 1%. Once the analysis is complete, results are automatically generated as a datasheet file and can, additionally, be saved in several image formats.

The instrument’s automation and efficiency also allow for a reproducible and simple quality inspection, which can be performed with limited training for new users.



Earlier this month, on March 24th 2021, Videometer’s CTO, Dr. Karsten Hartelius and Sales Director, Pia Van Der Zee ran a webinar, introducing an international audience to the VideometerLab Autofeeder for Rapeseed Oil Quality Inspection.

During the webinar, the features and characteristics of the VideometerLab Autofeeder were illustrated in great detail and, specifically, its application to Oilseed Rape Quality Inspection was the focus of the conversation.

The webinar ended with a Q&A session, where attendees were able to forward their inquiries about the product and technology directly to our two experts.  


Questions and answers included:

  1. Do you have models for other grain types?

Yes, we have. We have classification models that measure purity and seed health for various crops, including corn, barley, sunflower and more within vegetable seeds.

  1. Do I get a weight-based result?

You do get an optical weight-based result. Once weight density for the different classes is identified, it is possible to output weight-based classifications within the results.

  1. Can the model be used outside of Europe?

It is possible for all customers, not matter their location, to get a model tuned in for their specific geographical region. The model will present the same functionality as the European model, but with the individual requirements of the client’s location.

  1. Is there an option to physically separate different classes or materials?

Videometer is working on a solution that will make this possible. The solution is already available for commissions.

You can find out more or make your order by contacting our CEO, Dr. Jens Michael Carstensen or our CTO, Dr. Karsten Hartelius at mail@videometer.com.


The Videometer – Oilseed Rape Quality Inspection Webinar has been recorded and can be re-watched on the following page: https://www.youtube.com/watch?v=KurCCzsC2n0

For more inquiries you can directly visit our website: www.videometer.com/Contact-us.


Sunflower seeds

Quality assessment of Durum wheatAdmixture assessment in sunflower seeds

Sunflower seed admixture content (non sunflower content) can be determined fast and precisely with a VideometerLab Autofeeder. A model is being developed to

  • Determine sunflower seed content compared to non sunflower (admixture)
  • Break down of admixture content
    • Inert material: stones, sticks…
    • Foreign seeds: cereals, weeds…
  • Analysis of 100 g sample within 5 min with about 1% error
  • Reporting and documentation both visually and in Excel 
  • Seedcoat color, size, and shape distribution
  • Hilum color, size and shape
  • Texture
  • Genetic purity: transgenic vs non-transgenic, a Chinese study reports 98.2% accuracy on a test set.Specific model not shared.
  • Analysis of 200 g sample within 5 min 
  • Reporting and documentation both visually and in Excel 



Soybean quality analysis can be performed based on color, size, shape, texture, hilum properties, and certain types of surface chemistry. A model is being developed to assess

More modelling work in progress.

Palm fruit

Quality assessment of palm fruitsQuality assessment of palm fruits: good, seedless, and trash

Palm fruits are classified automatically according to quality. More information here.