Case Study: AmPlus improves lemon quality control with SoftwareMill's computer vision solution

AmPlus builds lemon quality control dataset in 1 month with SoftwareMill

SoftwareMill worked with AmPlus, a Polish producer and distributor of fresh fruits and vegetables, to address the challenge of automating food quality control. The customer needed a reliable method to inspect lemons for defects like mold, blemishes, and disease to ensure consistent product quality.

The solution implemented by SoftwareMill involved building a simple, DIY photo station with a rotating base to capture twelve images of each lemon from different angles. Using Python, the team developed a machine learning system to analyze the images and classify the fruit's quality based on its color, shape, and texture. The project was completed in one month, successfully creating a foundational computer vision system to aid in precise defect identification.

AmPlus