Clarifruit is a brand that utilizes computer vision technology to revolutionize fresh produce quality control. With their AI and Head of Computer Vision, Roman Mirochnik, at the helm, Clarifruit is at the forefront of this ever-evolving field. Using cameras and sensors, their computer vision systems capture images of fruits and vegetables, extracting relevant features like color, texture, and shape.

This automated process eliminates human error and speeds up inspections, ultimately guaranteeing the quality of produce that arrives in local supermarkets. As the Head of Computer Vision, Roman Mirochnik leads a dedicated team that develops algorithms, applications, and systems to ensure accurate and efficient results for Clarifruit's customers. Currently, Clarifruit's computer vision technology supports the measurement of attributes such as size, color, and stem condition.

Furthermore, they are working towards integrating additional levels, such as analyzing internal attributes like sugar level and acidity using infrared and hyperspectral technology. By leveraging computer vision, Clarifruit brings objectivity, time-saving, and speed to their customers. Manual inspections are replaced with objective evaluations, eliminating subjective discrepancies.

Training inspectors becomes obsolete as anyone can easily perform inspections by taking a picture. Additionally, by instantly generating results for multiple attributes, Clarifruit enables faster and more accurate quality control, facilitating efficiency throughout the supply chain. With future plans to expand into internal attribute analysis, Clarifruit continues to lead the way in fresh produce quality control