Industrial Vision Systems with Raspberry Pi: Build and Design Vision Products Using Python and Opencv (Paperback)
暫譯: 使用 Raspberry Pi 的工業視覺系統：利用 Python 和 OpenCV 建構與設計視覺產品 (平裝本)

Kadhar, Anand, G.

Industrial Vision Systems with Raspberry Pi: Build and Design Vision Products Using Python and Opencv (Paperback)

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商品描述

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.

What You'll Learn

 

  • 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

 

Who This Book Is For

Raspberry Pi and Python enthusiasts interested in computer vision applications; educators, industrialists, and industrial solution providers who want to design vision-based testing products with the help of Raspberry Pi

商品描述(中文翻譯)

今天的產業面臨著對於視覺系統日益增長的需求，因為這些系統在檢查產品質量時具有非侵入性的特性。這些系統能夠識別表面缺陷和故障，並驗證元件的方向及其測量等。本書探討了設計和開發自己的工業視覺系統所需的視覺技術，並利用 Raspberry Pi 進行實現。

您將首先回顧機器視覺系統的基本概念和應用，接著介紹 Python、OpenCV、所需的庫以及在 Raspberry Pi 上安裝 OpenCV 的前置知識。這些知識在實現系統應用的影像處理時將會用到。然後，您將了解介面技術以及工業視覺系統所面臨的一些挑戰，例如照明和相機角度。

本書還將討論演算法和影像處理技術，以及機器學習和深度學習技術。後面的章節將解釋 GUI 應用程式的使用和工業視覺系統的即時應用。每一章結尾都會有範例和示範實作，以幫助您理解這些概念。

在本書結束時，您將能夠使用 Python、OpenCV 和 Raspberry Pi 建立和部署計算機視覺應用程式。

您將學到的內容：

- 使用 Raspberry Pi 和 Python 程式設計建立和部署工業視覺系統
- 探索使用 Raspberry Pi 和 OpenCV 的計算機視覺技術
- 實現即時工業應用的流行視覺技術
- 回顧現代影像處理技術，如影像分割、閾值處理和輪廓檢測

本書適合對象：

對計算機視覺應用感興趣的 Raspberry Pi 和 Python 愛好者；希望利用 Raspberry Pi 設計基於視覺的測試產品的教育工作者、工業界人士和工業解決方案提供者。

作者簡介

Dr. K. Mohaideen Abdul Kadhar completed his Undergraduate degree in Electronics and Communication Engineering and his M.Tech with a specialization in Control and Instrumentation in 2005. In 2015, he obtained a Ph.D. in Control System Design using evolutionary algorithms. He has more than 16 years of experience in teaching and research. His area of interests includes Robust control systems, Optimization techniques, computer vision and image processing, data science, python programming, and working with Raspberry Pi boards. He is currently developing customized industrial vision systems for various industrial requirements. He has been a consultant for several industries in developing machine vision systems for industrial applications, a master trainer, and delivered workshops in the control systems, computer vision, image processing, optimization techniques, data science and Python programming.

G. Anand completed his Undergraduate degree in Electronics and Communication Engineering in 2008 and his Postgraduate Degree (M.E) in Communication Systems in 2011. He has more than 10 years of experience in teaching and research. His areas of interest include Signal Processing, Image processing, Vision system, Python programming, Data science, and Machine Learning. He has also delivered workshops in signal processing, image processing and python programming.

 

 

 

作者簡介(中文翻譯)

Dr. K. Mohaideen Abdul Kadhar 於2005年完成電子與通信工程的學士學位，並獲得控制與儀器專業的碩士學位（M.Tech）。在2015年，他獲得了使用進化演算法的控制系統設計博士學位。他擁有超過16年的教學和研究經驗。他的研究興趣包括穩健控制系統、優化技術、計算機視覺與影像處理、數據科學、Python 程式設計，以及使用 Raspberry Pi 開發板。目前，他正在為各種工業需求開發定制的工業視覺系統。他曾擔任多個行業的顧問，協助開發工業應用的機器視覺系統，並擔任大師級培訓師，舉辦有關控制系統、計算機視覺、影像處理、優化技術、數據科學和 Python 程式設計的工作坊。

G. Anand 於2008年完成電子與通信工程的學士學位，並於2011年獲得通信系統的碩士學位（M.E）。他擁有超過10年的教學和研究經驗。他的研究興趣包括信號處理、影像處理、視覺系統、Python 程式設計、數據科學和機器學習。他也曾舉辦有關信號處理、影像處理和 Python 程式設計的工作坊。

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