The challenge

The olives that arrive at the olive mill are supervised by expert staff who, based on their experience, determine their quality. Although these are correct assessments, these are subjective, and therefore entail a lack of real data on the quality of the raw material.

Etria proposes an objective quality determination system, based on an agile and easily installable system in mills, that accurately analyses the quality of a batch of olives through real-time image analysis using artificial intelligence.

Objectives

The goal is to enhance the quality of the raw material in the olive oil production process by monitoring the olives that enter the mill. Different defects in the olives are identified and quantified objectively and in real time, as well as the presence of impurities such as leaves, branches, and others.

Improve the traceability of production quality and producers.

How have we done it?

• Computer vision
• Object tracking and recognition
• YOLOv7
• Label Studio

The results

The deployed model was able to accurately detect and quantify the different elements. This made it possible to know in real time the quality of the raw material used in the production of olive oil.