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After reviewing the list of book summaries related to machine vision, I have identified several commonalities: 1. Emphasis on Fundamentals: All of the books focus on explaining the fundamentals of computer hardware and software as it relates to machine vision. They cover topics such as image processing, camera technology, algorithms, and programming languages. 2. Practical Applications: The books provide examples of practical applications of machine vision in various industries including manufacturing, healthcare, and security. 3. Step-by-Step Guides: Several of the books offer step-by-step guides for implementing machine vision systems using popular software libraries and platforms. 4. Real-World Challenges: The books address real-world challenges that arise when implementing machine vision systems such as lighting conditions, noise reduction, and object recognition. Overall, these books provide a comprehensive guide to understanding the fundamentals of machine vision technology with practical examples and step-by-step guides for implementation.