04226nam a22005535i 4500 979-8-8688-0097-9 DE-He213 20251030112849.0 cr nn 008mamaa 240811s2024 xxu| s |||| 0|eng d 9798868800979 979-8-8688-0097-9 10.1007/979-8-8688-0097-9 doi TS171.57 UB bicssc COM067000 bisacsh UBM thema Mohaideen Abdul Kadhar, K. author. aut http://id.loc.gov/vocabulary/relators/aut 82220 Industrial Vision Systems with Raspberry Pi [electronic resource] : Build and Design Vision products Using Python and OpenCV / by K. Mohaideen Abdul Kadhar, G. Anand. 1st ed. 2024. Berkeley, CA : Apress : Imprint: Apress, 2024. XX, 331 p. 118 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Maker Innovations Series, 2948-2550 Chapter 1: Introduction to Industrial Vision Systems -- Chapter 2: Raspberry Pi and required software -- Chapter 3: OpenCV - Python -- Chapter 4: Challenges in Industrial Vision Systems -- Chapter 5: Image Processing using OpenCV -- Chapter 6: Graphical User Interface with OpenCV and tkinter -- Chapter 7: Feature Detection and Matching -- Chapter 8: Image segmentation -- Chapter 9: Optical Character Recognition -- Chapter 10: Machine learning techniques for vision applications -- Chapter 11: Industrial Vision system Applications. Today’s industries are faced with a growing demand for vision systems due to their non-invasive characteristics in inspecting product quality. These systems identify surface defects and faults, and verify components’ orientation and their measurements, etc. This book explores the vision techniques needed to design and develop your own industrial vision system with the help of Raspberry Pi. You’ll start by reviewing basic concepts and applications of machine vision systems, followed by the preliminaries of Python, OpenCV, required libraries, and installing OpenCV for Python on Raspberry Pi. These are used when implementing image processing for the system applications. You’ll then look at interfacing techniques and some of the challenges industrial vision systems encounter, such as lighting and camera angles. Algorithms and image processing techniques are also discussed, along with machine learning and deep learning techniques. Later chapters explain the use of GUI apps and real-time applications of Industrial vision systems. Each chapter concludes with examples and demo implementations to facilitate your knowledge of the concepts. By the end of the book, you’ll be able to build and deploy computer vision applications with Python, OpenCV, and Raspberry Pi. You will: Build and deploy industrial vision system using Raspberry Pi and Python programming Explore computer vision techniques using Raspberry Pi and OpenCV Implement popular vision techniques for industrial applications in real time Review modern image processing techniques such as image segmentation, thresholding, and contours. Makerspaces. 68064 Computers. 65793 Operating systems (Computers). 65514 Maker. 68065 Computer Hardware. 65796 Operating Systems. 65516 Anand, G. author. aut http://id.loc.gov/vocabulary/relators/aut 82221 SpringerLink (Online service) Springer Nature eBook Printed edition: 9798868800962 Printed edition: 9798868800986 Printed edition: 9798868810923 Maker Innovations Series, 2948-2550 68066 https://doi.org/10.1007/979-8-8688-0097-9 ZDB-2-CWD ZDB-2-SXPC 62400 62400