Machine Vision Mastery: Theory, Algorithms, And Practicalities For Smart Cameras And Robotics, Covering Surveillance, Automated Inspection, Vehicle Guidance, Traffic Monitoring, And Real World Applications

Mastering machine vision theory, algorithms, and practice
✔️ Single-book edition, 3rd ed, 968 pages, English, 2005

Explore the field of machine vision with this comprehensive book that covers both theory and hands-on design. It’s a solid reference for professionals and graduate students working on surveillance systems, automated inspection, vehicle guidance, traffic monitoring, and real-world robotics applications.

✅ 968 pages, 3rd edition, English, 2005 release
✅ Coverage includes 2-D and 3-D scene analysis for practical systems
✅ Thorough treatment of the Hough Transform for inspection and surveillance
✅ Emphasizes real-time processing and integrated system design

💡 What is a machine vision system typically used for in modern manufacturing and security settings? This handy overview covers common roles and benefits for real-world projects. - real-time surveillance and automated inspection workflows - 2-D and 3-D scene analysis for precise measurement and robot guidance - Hough Transform-based feature detection for inspection and surveillance - integration with smart cameras and robotics control for scalable operations

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