Sign up for our daily Newsletter and stay up to date with all the latest news!

Subscribe I am already a subscriber

You are using software which is blocking our advertisements (adblocker).

As we provide the news for free, we are relying on revenues from our banners. So please disable your adblocker and reload the page to continue using this site.
Thanks!

Click here for a guide on disabling your adblocker.

Sign up for our daily Newsletter and stay up to date with all the latest news!

Subscribe I am already a subscriber
Clarifruit -

New AI-driven quality control features to be unveiled in Berlin

As the fresh produce industry eagerly anticipates meeting in Berlin, Clarifruit looks forward to unveiling new features for AI-driven quality control. With these updates, Clarifruit aims to advance towards its mission to enable the fresh produce supply chain stakeholders to make data-driven decisions, reduce rejections and maximize revenue opportunities.

Ruby Boyarski, co-founder and CTO of Clarifruit, shares insights into these cutting-edge developments and their impact on inspections and quality control processes: “Through 2023, Clarifruit took major strides in computer vision detections and real-time feedback during photo inspections. The platform’s new automatic defect detection feature is the culmination of this evolution, marking a major milestone for the platform. One of the biggest technical challenges in developing this feature has been alert prioritization. Inspectors need to be alerted to major defects, but not overwhelmed with alerts for smaller issues. Amassing a comprehensive dataset was another key challenge, combining customer-generated data, synthetic inputs, and manual photography.”

The feature's sophistication lies in its ability to discern the severity of defects and manage instances of multiple defects on a single fruit. Standardizing defect recognition across various customer terminologies was a crucial step towards achieving this.

The role of design partners in refining the automatic defect detection feature was invaluable. Boyarski acknowledges, "They have been immensely helpful with real-world feedback that looped back into the AI engine training and improved with each testing cycle." This collaboration highlights the iterative process of innovation at Clarifruit. It is expected to release the automatic defect identification capability to the market later this year.

Integrating ChatGPT into Clarifruit's platform is another major leap forward. "ChatGPT helps perform actions in natural language and draw insights based on real-world questions," Boyarski explains. This feature will enable users to generate custom reports, ask data-driven questions, and update processes with ease, making the decision-making process even more intuitive and insightful.

Watch: Clarifruit's new AI-driven quality control features to be unveiled at Fruit Logistica 2024.

Looking to 2024, Clarifruit aims to further embed AI across its platform, focusing on enhancing natural language capabilities for inspectors and expanding defect detection to more fresh produce categories. Clarifruit is also exploring the use of ChatGPT to analyze data automatically and offer ways to improve the grading configuration or highlight specific trends, augmenting QA managers’ awareness.

Visit the Clarifruit booth in Hall 3.1 C-35 for a demo of these new capabilities, running daily at 3pm.

For more information:
Malki Ehrlich
Clarifruit
Email: malki@clarifruit.com
www.Clarifruit.com