a red tractor ploughing a field of green crops during sunrise

SolVisionCase Study

Vegetable Classification Using AI

Customer

The customer is a large European-based food producer looking to automate their vegetable inspection process prior to shipment.

Case

Vegetable Inspection Process

The company currently employs a manual process for vegetable inspection, specifically verifying that each artichoke is placed in the correct orientation on the conveyor belt before packaging. This laborious and time-consuming method limits operators’ ability to focus on more critical tasks, highlighting the need for a more efficient solution.

Green artichokes on white background

Challenge

Artichoke Orientation and Angle Detection

Each artichoke varies in size, shape, and ripeness, creating a challenge for effective vegetable inspection. The customer sought an AI-based solution capable of accurately identifying the orientation and angle of each artichoke within a strict cycle time of 80 milliseconds. Additionally, they required the ability to export inspection data to their existing database as part of their automation process.

Solution

Rapid AI Inspection with SolVision

Using SolVision, Solomon’s AI vision system, an AI model quickly and accurately identifies the orientation and angle of each artichoke, utilizing its stem as the point of reference, regardless of stem size. In addition to precise orientation detection, SolVision supports the classification of artichokes based on their attributes. The system also enables the export of AI inspection results through a wide range of communication protocols, seamlessly integrating with existing automation processes.

Outcome

Achieved 100% detection accuracy for artichokes, regardless of shape, size, or ripeness
Reduced inspection cycle time to 50 milliseconds, surpassing the target
Exceeded customer expectations by detecting orientation and significantly cutting inspection time
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