Kioxia Corporation has announced the creation of an AI-driven image recognition technology that automatically identifies products moving through logistics workflows, in collaboration with Tsubakimoto Chain Co. and EAGLYS Inc. This innovative system enhances automation and operational efficiency in logistics, enabling companies to respond swiftly to shifting market demands while managing costs and maintaining high service standards. Central to this advancement are KIOXIA AiSAQ and Memory-Centric AI technologies, which address the growing need for scalable AI adoption as product types expand and diversify. The joint technology will be showcased at the 2025 International Robot Exhibition.
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As e-commerce continues to surge, logistics networks face increasing product volumes and a broader array of items moving through their systems. At the same time, persistent labor shortages are fueling the demand for smarter, AI-driven operational solutions. Traditional image recognition AI often relies on deep learning models that require retraining whenever new or seasonal products are introduced. This retraining process is not only time-consuming but also escalates energy consumption and operational costs, particularly for organizations managing large and diverse product catalogs.
Kioxia’s AiSAQ software, combined with its Memory-Centric AI technology, effectively overcomes these challenges. The system stores extensive product information including images, labels, and feature data on high-capacity memory, enabling the addition of new product details quickly without retraining the base AI model. Furthermore, to prevent longer search times and higher memory demands as the dataset grows, the technology indexes stored data and transfers it into SSD storage, ensuring faster and more efficient retrieval.
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The collaboration between Kioxia, Tsubakimoto Chain, and EAGLYS will be on display at the 2025 International Robot Exhibition, scheduled from December 3–6 at Tokyo Big Sight. This exhibition serves as a premier global platform for showcasing cutting-edge automation solutions in manufacturing and logistics. At the booth, visitors will witness the image recognition system in action: as products move along a conveyor, the system captures their images and quickly classifies them using the stored features and labels. This demonstration highlights how logistics operators can efficiently manage a constantly evolving range of products with higher accuracy and operational efficiency.
By integrating AI into logistics workflows, Kioxia and its partners illustrate how advanced technology can streamline operations, reduce costs, and maintain service quality in a rapidly evolving market.
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