Food Quality Control – Hazelnut Analysis with Spectral Imaging

Why Food Quality Control and Assessment is important?

Food quality control and assessment are crucial in ensuring the safety, quality, and authenticity of food products. The use of multispectral imaging technology, such as VideometerLab, can assist in various ways, including food safety, adulteration, counterfeit, spoilage, contamination, and food quality. This technology can be applied to various food products such as meat, seafood, plants, fruits, vegetables, and baked and fried products.

Every year there are thousands of people getting sick from food that has not been inspected properly enough. Hence, food safety management has become increasingly more crucial within the industry.

Multispectral Imaging in the Food Industry

Videometer is able to assist in various ways when it comes to Food Quality Control, including:

• Food safety
• Adulteration
• Food counterfeit
• Spoilage
• Contamination
• Food quality, and more

The areas of application are meat, seafood, plants, fruits, vegetables, and baked, fried products. Read more here about how an image-based solution makes an impact on food safety management.

Hazelnut analysis by Image-based solution and Machine Learning

One example of the use of the VideometerLab in food quality control is hazelnut analysis. Hazelnuts can be classified by their roasting degree, inner shell fraction, roundness, or defects. With the state-of-art instrument, more than 12 million spectra can be measured on a food sample within a fraction of a second, providing faster and more accurate specifications and results. The combination of multispectral imaging and machine learning can create a perfect solution for accurate food quality control.

The combination of multispectral imaging and machine learning creates the perfect solution for accurate food quality control.

The Videometer Software allows users to see differences in objects with RGB, using multiple wavelengths to show what is not visible to the human eye. In addition, the software can distinguish and classify different varieties and features of food products. This technology can aid organizations in their food integrity assessment, allowing for potential mold and aflatoxin measurement on the nut surface.

Overall, the use of multispectral imaging technology such as VideometerLab provides a faster, more accurate, and more efficient way of ensuring food quality control and assessment, ultimately leading to better food safety and integrity.

The software allows the users to see differences in the objects with RGB, using multiple wavelengths to show the user what is not visible to the human eye.

We measure what you see – and beyond!

Conclusion

• A number of important hazelnut parameters are measured fast and accurately with the same instrument
• A roasting degree measured without influence from inner shells
• Inner shell fraction measured without influence from roasting degree
• Size, shape, mechanical damage, and insect damage may be measured
• Potential for molds and aflatoxin measurement on nut surface