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Professor Shishido of Tokyo University of Science achieves groundbreaking results with MANUFACIA
Bringing AI closer to you: MANUFACIA-Vision application examples.
Professor Atsushi Shishido of Tokyo University of Science utilizes MANUFACIA-Vision in research on predicting the fatigue life of polymer films.
Key points: Reduced workload for visual inspection using AI, non-personal judgment criteria and indicators, and intuitive operation that is easy to implement. Currently, efforts to make electronic devices such as displays, sensors, and batteries flexible are accelerating worldwide. Professor Atsushi Shishido of the Institute of Chemical and Life Sciences, Graduate School of Science and Technology, Tokyo University of Science, continues to publish pioneering results in this field.
On March 6th, Professor Shishido visited our company accompanied by doctoral student Yusuke Kishimoto, and explained the research results using Cross Compass's image inspection AI, "MANUFACIA-Vison." Our staff, including Cross Compass CEO Katsunobu Suzuki, listened attentively to their groundbreaking achievement: successfully detecting phenomena that were previously undetectable by introducing our AI.
Professor Shishido emphasized that "predicting the fatigue life of polymer films against bending is crucial for selecting or designing polymer film substrates suitable for flexible device applications." He stressed the importance of introducing our image-focused AI generation tool, "MANUFACIA-Vision," to perform predictions that are not dependent on human judgment in research on fatigue life prediction aimed at developing highly durable devices and materials that can withstand repeated bending. Ms. Kishimoto commented, "In our research, the ease of use of 'MANUFACIA-Vision,' which allows for intuitive operation, was a great help. We were able to proceed without feeling much stress from trial and error."
Furthermore, our CEO, Mr. Suzuki, expressed his enthusiasm, stating, "Currently, MANUFACIA-Vision is specialized in image analysis, but we would like to achieve multimodal capabilities by combining it with different types of data, so that we can meet the broader analysis needs of academia and industry." The two then engaged in a lively discussion with our AI engineers for about two hours to explore future research directions.
Click here for a collection of visual inspection examples using MANUFACIA.