An intelligent system that optimizes quality, safety, and productivity in line
Battaglio is a leading company in the distribution of tropical fruit from various countries of origin. The process of sorting banana crates, traditionally done manually, requires significant labor: operators handle 20 kg packages and classify the product based on color gradation, indicative of ripeness. This activity, in addition to being physically demanding, presents high subjective variability in assessments, resulting in difficulties in ensuring process uniformity and traceability.
In collaboration with CIM, a new automated operational line has been developed that integrates robots for crate handling and an artificial vision system based on Deep Learning. Through cameras installed along the line, banana crates are analyzed in real-time: the system processes images to automatically recognize the ripeness level, evaluating color tone and other visual parameters.
The developed Proof of Concept (PoC) demonstrated the feasibility of precise and repeatable automatic classification, allowing for the autonomous organization of banana packages based on their final destination and optimizing internal logistics. Concurrently, the company’s resources were provided with training courses on Artificial Intelligence and Computer Vision, aimed at transferring technical skills for the autonomous maintenance and evolution of the PoC.
The introduction of Artificial Intelligence has reduced manual operational load, improved quality control, and standardized product evaluation.
The project represents a significant step towards the digitization of production and logistics processes in the agri-food sector, enhancing efficiency, safety, and supply chain traceability.
An intelligent system that optimizes quality, safety, and productivity in line
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