Computer Vision for automated food quality assessment

Leveraging AI for the automation of food quality assessment.

Interested in this service? Contact us at roberto.garcia[at]udl.cat 

Overview

The service provides validation of existing automated food quality assessment solutions thanks to artificial intelligence, in particular through computer vision techniques. 

We help solution providers to check the solution performance using a controlled testing infrastructure, including our Food Processing Pilot Plant. The service might also include the generation of reference datasets of food samples and expected quality measures, which can be used both for validation and training of the AI solution based on Computer Vision. 

More about the service

Discover more about our service, including how it can benefit you, the delivery process, and the options for customisation tailored to your specific needs!

Our service helps solution providers to validate and enhance their automated food quality assessment systems using AI and Computer Vision techniques in a controlled testing infrastructure and reference datasets.

The validation of the automated food quality assessment solution will take place at our Food Processing Pilot Plant, where controlled testing conditions can be ensured.

The execution of the service typically takes up to two weeks, depending on the complexity of the solution and the number of food samples to be assessed. Customers will receive a detailed report documenting the performance metrics of their system, along with reference datasets of food samples and expected quality measures for further validation and training purposes.

Customers may need to provide access to their AI solution and any specific requirements for the food samples being tested. The service can be conducted year-round, with no significant seasonal restrictions.

The service can be customised for your specific product.
Location
Spain
Remote
Type of Sector
Food processing
Type of service
AI model training
Collection of test data
Performance evaluation
Test design
Test setup
Test execution
Accepted type of products
Data
Physical system
Software or AI model

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