We Measure What You See And Beyond!

Food

What Is Food Integrity?

Food integrity is an umbrella concept for the fundamental food properties:

Food Authenticity

Food is refered to as authentic when its origin is correctly stated and declared.

Food Safety

Food is considered safe when it’s secure to consume and does not pose any health risks.

Food Quality

Food quality refers to food that meets the preset quality specifications

Related negative concepts for food integrity degradation are:

Food Fraud

Food fraud is the intentional degradation of food integrity. 

Food Adulteration

Food adulteration is food fraud by admixture. 

Food Mislabelling

Food counterfeit is food fraud by incorrect origin statement, declaration, or production and, or expiration date statement. 

Food spoilage is the microbial degradation of food safety and, or food quality.

Food Counterfeit

Food counterfeit is food fraud by stating the incorrect product name and or manufacturer. 

Food Contamination

Food safety degradation by harmful chemicals, foreign bodies, parasites, or microorganisms.

Why Spectral Imaging?

The VideometerLab instrument provides fast, versatile, and non-destructive detection of many types of food fraud as well as food quality and food safety issues.

Videometer spectral imaging measures more than 12 million spectra on a food sample within a fraction of a second. Every pixel in the image is a spectrum covering UV, visual color, and NIR ranges of areas down to 30×30 µm.

This unique and versatile technology allows fast characterization of food integrity in terms of color, surface chemistry, texture, shape, and size without touching the sample and with little or no sample preparation.


Further, spectral imaging provides more informative and specific information than traditional food imaging.

VideometerLab
fruit analyzed for texture, moisture, health

1, 2, 3 Go!

Setting up a protocol for food integrity assessment is a three step procedure:

1

Define sample preparation and presentation

Select a feasible way to present your sample in a standardized way.

2

Define conforming product and non-conforming product by example

Conforming product definition must be representative for acceptable variations of good products, non-conforming product definition may be non-specific – meaning everything but conforming product – or specific – incorporating definitions of each type of non-conformity.

3

Build analysis recipe

Use the built-in machine learning and AI to automatically detect and quantify non-conforming product in terms of count, area, and/or volume, or in terms of percentages of these relative to the full sample.

Once the recipe has been defined then it can be stored in a local database or in the cloud for easy deployment to new samples with the corresponding product ID. Having the recipe availabe will mean that new samples are measured and analyzed in VideometerLab in app. 10 seconds including sample handling. Automated presentation by a robot and automated feeding of granular products are available as are customized in-line versions, VideometerLine, of the technology.

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Fruits and Vegetables

Meat

Seafood

Baked & Fried Goods

Dairy

Chocolate

Beverages