AI system developed for produce warehouse quality checks

DiMuto has announced a collaboration with Intel to support the development of its PQAI (Product Quality Artificial Intelligence) and DACKY hardware solution for warehouse operations in the agri-trade sector. The system is designed to run AI-powered quality checks locally, without requiring internet connectivity, enabling faster and more consistent inspections.

The solution is powered by Intel® Core™ Ultra processors and optimized with the Intel® OpenVINO™ toolkit. It provides real-time AI image analysis for fruit defect detection, carton scanning, and photo capture, while using advanced computer vision processes with reduced energy consumption. According to the companies, the system can be integrated into existing packhouse operations, with the aim of improving efficiency and reducing waste.

Each carton is digitally scanned and analyzed at source, with localized AI processing intended to maintain operational flow even in high-volume or remote environments. This approach provides digital verification of product quality directly at the warehouse level.

Jordon Ho, Head of Technology at DiMuto, said: "With Intel's powerful processors enabling PQAI to run locally, we are proving that warehouse optimization is not just about efficiency. It is about giving buyers confidence, helping suppliers protect margins, and setting a new bar for trusted global trade."

Michael Masci, vice president at Intel's Edge Computing Group, added: "The Intel Core Ultra processors and OpenVINO toolkit deliver AI performance directly at the edge, enabling DiMuto's DACKY system to process complex computer vision tasks in real-time while reducing energy consumption and TCO compared to traditional solutions."

The collaboration focuses on combining DiMuto's trade expertise with Intel's AI and processing technologies to support digitized, traceable, and more efficient warehouse operations in the fresh produce supply chain.