DeepFine selected as the main research and development organization for the '2025 Knowledge Service Industry Technology Development Project'

Deepfine , an XR spatial computing platform company, announced on the 16th that it had been selected as the main research and development institution for the '2025 Knowledge Service Industry Technology Development Project' promoted by the Ministry of Trade, Industry and Energy.

This project aims to promote industrial innovation through the advancement of knowledge services and convergence with manufacturing, create new markets based on advanced technologies, and strengthen global competitiveness. The research and development period is from April 1, 2025 to December 31, 2028, and the total project cost is approximately KRW 9.5 billion.

The business areas consist of four categories: defense and aviation, carbon regulation response and eco-friendly manufacturing, software-defined factories (SDFs), and distribution logistics. Among these, Deepfine is carrying out the task of ‘Development of AI smart glass-based integrated operation technology for autonomous collaboration of distribution logistics fulfillment centers’ in the distribution logistics field.

Deepfine plans to build an integrated operating environment based on AI smart glasses through this project. This will support collaboration between central managers and field workers, and implement a non-face-to-face interface that can be operated only with the user's movements and voice. In addition, it will provide an AR navigation function that minimizes the worker's movement line by utilizing its own developed visual positioning system (VPS).

In addition, it will support the digital transformation of the entire distribution logistics industry, including logistics recognition and automatic classification technology through vision AI, field optimization systems that can be linked with warehouse management systems (WMS) and order management systems (OMS), and development of XR content for safety education.

Kim Hyun-bae, CEO of Deepfine, said, “We will focus on implementing automation of tasks centered on field practices such as inventory management, picking, and packing, reflecting the characteristics of distribution logistics centers of various sizes.” He added, “Through this project, we will spread smart logistics solutions optimized for the logistics industry domestically and internationally, and contribute to creating public value through training specialized personnel and open-source disclosure of research data.”


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