The opportunities for using AI in food factories are concentrated in three areas of focus revealed by an analysis of technological challenges and patent trends. Future developments will be closely watched against the backdrop of challenges including data shortages, the tacit knowledge of experienced workers, and integration with existing equipment.
This technology trends report examines the latest developments in the use of AI in food factories and identifies three areas of focus emerging from technological challenges and patent trends. Key themes include AI-based inspection and quality control, production automation combining IoT and image recognition, and process optimization and visualization.
The materials identify overcoming data shortages, digitizing the know-how of experienced workers, and achieving seamless integration with existing equipment as important issues. They suggest that efforts are under way to improve productivity and quality by addressing these challenges.
As part of the category overview, MyTokkyo.Ai, a patent research and legaltech platform, is described as useful for understanding the current state of data utilization and AI adoption in food factories. Further details on developments in specific implementation areas are expected to emerge at the intersection of patent trends and technological challenges.