Learn with practical demonstrations using Google Colab/Python!
This seminar systematically explains the technologies necessary to utilize image recognition AI in the manufacturing industry. It covers the basics of image capture and the characteristics of various cameras, the principles of machine learning and deep learning, image recognition algorithms such as CNN, YOLO, and Vision Transformer, application examples for visual inspection, learning methods with small data sets, and practical demonstrations using a Python environment on Google Colab. *For more details, please check the related links or the seminar details in the catalog.*
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<Event Information> Format: Online lecture via Zoom Date and Time: September 7, 2026 (Monday) 9:30 AM - 4:30 PM Fee: 49,500 yen per person (tax included) Instructor: Ryosuke Kasahara
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<Seminar Program (Tentative)> Chapter 1: Overview of Image Recognition Technology Chapter 2: Basics and Key Points of Effective Image Capture Chapter 3: From Basics of Machine Learning to Applications in Image Recognition Chapter 4: Fundamentals of Deep Learning and Its Application to Image Recognition Chapter 5: Image Recognition Algorithms Useful in the Field Chapter 6: Learning from Real Cases: Image Recognition Applications
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We support Japan's "monozukuri" (manufacturing) with reliable services ranging from patent research and other intellectual property business solutions to technical translation services and intellectual property/engineer education. We offer high-quality services backed by over 40 years of experience at reasonable prices.
