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Videometer A/S (Herlev, DK)

Videometer

Danish spectral imaging (UV, VIS, NIR) with machine learning for objective quality control of food products, in the lab and inline.

Go to website Videometer alternatives
Shared spot3of 16 professional tools with a GDPR profileOur summary of what the provider itself publishes about your data: whether the data is stored in the EU (2 points), whether there is a certification or GDPR guarantee (1) and whether the provider is based in the Netherlands or the EU (1). 3 or 4 points is Strong, 2 Good, 1 Limited, 0 Unknown. How we measure in food industry
GDPR: Good
  • Provider based in the EU
  • Publishes certification/GDPR safeguards

Each tile is a professional tool in the food industry, with the strongest GDPR profile on the left. 7 professional tools, like Videometer, have a good GDPR profile: they share this spot. Click for that tool.

Priceon request
Free trialNone foundNot found on the provider's site when checked on 2 November 2026
Based inHerlev, DKEU
ModelNot publicproprietary image recognition model (according to the provider); multivariate statistics, machine learning and AI in the proprietary VideometerLab software, the customer trains classification models themselves with labelled samples (according to the provider); analysis recipes locally or in Videometer Cloud (according to the provider); GDPR rights mentioned; hosting of product data, training and certification sought, not published

Last checked: 2 November 2026 · How we check

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What it does

Spectral imaging: UV, colour and NIR
Measures colour, texture, shape and size
Also measures surface chemistry
Detects food fraud, spoilage and deviations
Analyses recipes with built-in ML and AI
Stores recipes locally or in the cloud
Robot and automatic sample feeding
Inline version: VideometerLine

Comparable in the food industry

Delicious DataFreeOneThirdon requestFoodDocs$99-$299 per location/month (annually…Nutriticson requestQcifyon requestRobovision Indurionon request
All 16 professional tools for the food industry

Videometer compared

Videometer vs Delicious DataVideometer vs OneThirdVideometer vs FoodDocsVideometer vs FactbirdVideometer vs Qcify
Underlying model

proprietary image recognition model (according to the provider); multivariate statistics, machine learning and AI in the proprietary VideometerLab software, the customer trains classification models themselves with labelled samples (according to the provider); analysis recipes locally or in Videometer Cloud (according to the provider); GDPR rights mentioned; hosting of product data, training and certification sought, not published. Many tools build on a large model from, for example, OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it states where your data goes.

GDPR check for the food industry

Questions about Videometer

AI for the food industry
Which AI model does Videometer use?
The maker of Videometer does not make public which AI model sits underneath. Proprietary image recognition model (according to the provider); multivariate statistics, machine learning and AI in the proprietary VideometerLab software, the customer trains classification models themselves with labelled samples (according to the provider); analysis recipes locally or in Videometer Cloud (according to the provider); GDPR rights mentioned; hosting of product data, training and certification sought, not published.
How much does Videometer cost?
on request. Check the current price on the provider's website; rates change often.
Who is Videometer for?
Videometer focuses on the food industry. It fits work such as visually inspecting products and sorting them by defects, ripeness and internal quality, forecasting shelf life and demand to reduce food waste and shrinkage, and developing and reformulating recipes, including nutritional value, allergens and labelling.
What should I watch out for with AI in the food industry?
In this sector the data is mostly business data (recipes, suppliers, production figures) and rarely personal data, but recipes and specifications are trade secrets. Ask every provider whether your data is used to train models: Trace One excludes training of public models, while OneThird, according to its terms, receives a perpetual licence to anonymised, aggregated data. Pay attention to hosting location: OneThird and Delicious Data host in the EU, SGS FoodNexus is Swiss, and with Qcify the American parent is the controller. Hardly any provider states which AI model sits behind it (Trace One names Gemini). An AI inspection or HACCP proposal does not replace release by a competent employee: legal responsibility for food safety (Regulation (EC) No 178/2002) and labelling (Regulation (EU) No 1169/2011) remains with you. Cameras on the shop floor can also capture employees; arrange that with the works council and a DPIA.
Next stepAll 28 options for the food industryProfessional tools and general assistants side by side, on GDPR profile, price and quality.

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