SolVisionCase Study
Automated Vegetable AI Visual Inspection
Customer
The customer is a large European-based food producer looking to automate their vegetable inspection process prior to shipment.
Case
AI Visual Inspection of Artichokes
The company currently uses a manual process to verify that each artichoke is placed in the correct orientation on the conveyor belt before packaging. This is a laborious and time-consuming process that prevents operators from carrying out more important tasks.
Challenge
Correct Orientation and Angle Detection
Each artichoke is different, which is why the customer wanted a solution capable of identifying the orientation and angle of each vegetable regardless of size, shape, or ripeness grade, to be completed within a strict cycle time of 80 milliseconds per artichoke. Additionally, the customer expected to be able to export the inspection data to their existing database as part of their automation process.
Solution
Rapid and Precise AI Inspection with SolVision
Using SolVision, Solomon’s core AI machine vision system, an AI model was capable of quickly and accurately identifying the orientation and angle of each artichoke, using its stem as the point of reference, regardless of the size of the stem itself. SolVision also allowed for the AI inspection results to be exported through a wide range of communication protocols.
