國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Industrial vision systems with Raspb...

Anand, G.

Industrial vision systems with Raspberry Pibuild and design vision products using Python and OpenCV /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Industrial vision systems with Raspberry Piby K. Mohaideen Abdul Kadhar, G. Anand.
其他題名:	build and design vision products using Python and OpenCV /
作者:	Kadhar, K. Mohaideen Abdul.
其他作者:	Anand, G.
出版者:	Berkeley, CA :Apress :2024.
面頁冊數:	xx, 331 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Computer vision.
電子資源:	https://doi.org/10.1007/979-8-8688-0097-9
ISBN:	9798868800979$q(electronic bk.)

Industrial vision systems with Raspberry Pibuild and design vision products using Python and OpenCV /
Kadhar, K. Mohaideen Abdul.

Industrial vision systems with Raspberry Pibuild and design vision products using Python and OpenCV /[electronic resource] :by K. Mohaideen Abdul Kadhar, G. Anand. - Berkeley, CA :Apress :2024. - xx, 331 p. :ill., digital ;24 cm. - Maker innovations series,2948-2550. - Maker innovations series..

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.

ISBN: 9798868800979$q(electronic bk.)

Standard No.: 10.1007/979-8-8688-0097-9doiSubjects--Topical Terms:

200113
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Industrial vision systems with Raspberry Pibuild and design vision products using Python and OpenCV /
LDR:03286nmm a22003495a 4500 001 668325
003 DE-He213
005 20240811124744.0
006 m d
007 cr nn 008maaau
008 250107s2024 cau s 0 eng d
020 $a 9798868800979$q(electronic bk.)
020 $a 9798868800962$q(paper)
024 7 $a 10.1007/979-8-8688-0097-9 $2 doi
035 $a 979-8-8688-0097-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1634
072 7 $a UB $2 bicssc
072 7 $a COM067000 $2 bisacsh
072 7 $a UBM $2 thema
082 0 4 $a 006.37 $2 23
090 $a TA1634 $b .K11 2024
100 1 $a Kadhar, K. Mohaideen Abdul. $3 898485
245 1 0 $a Industrial vision systems with Raspberry Pi $h [electronic resource] : $b build and design vision products using Python and OpenCV / $c by K. Mohaideen Abdul Kadhar, G. Anand.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2024.
300 $a xx, 331 p. : $b ill., digital ; $c 24 cm.
347 $a text file $b PDF $2 rda
490 1 $a Maker innovations series, $x 2948-2550
505 0 $a 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.
520 $a 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.
650 0 $a Computer vision. $3 200113
650 0 $a Pattern recognition systems. $3 183725
650 0 $a Raspberry Pi (Computer) $3 670784
650 0 $a Computer graphics. $3 182120
650 1 4 $a Maker. $3 913111
650 2 4 $a Computer Hardware. $3 275482
650 2 4 $a Operating Systems. $3 274474
700 1 $a Anand, G. $3 898486
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Maker innovations series. $3 956498
856 4 0 $u https://doi.org/10.1007/979-8-8688-0097-9
950 $a Professional and Applied Computing (SpringerNature-12059)