Abstract
There are many kinds of image processing application in the industry, to improve better performance of producing, Automatic Guide vehicles (AGV) solution have been driven in service, for instance, the expensive solution such as light detection and ranging (LIDAR), magnetic tape guided and RFID are used. In the industry which not only search for better delivery performance but also search for economic efficiency. Here we present an economic efficiency solution, Easy i-Move for AGVs guiding system to fulfill customers’ necessity. In this study, we focus on color tape image recognition technology based on HSI color model. The implementation of the system architecture and the technology of image recognition in the proposed system are described and validated in this paper.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Emgu CV Essentials. Packt Publishing, 14 November 2013
Emgu.CV.example CameraCapture. http://me1237guy.pixnet.net/blog/post/61361335
Converting from RGB to HSV. http://coecsl.ece.illinois.edu/ge423/spring05/group8/finalproject/hsv_writeup.pdf
Video color conversion. Introduction to Automotive Electronic Systems pdf. http://140.117.156.238/course/IAE/2013/
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 3rd edn. Prentice Hall, Upper Saddle River (2008)
Setting up Emgu CV Project with Visual Studio. https://notebookbft.wordpress.com/2015/03/08/setting-up-emgu-cv-project-with-visual-studio/
The Principle of Image Processing Technology and Application. http://web.ncyu.edu.tw/~lanjc/lesson/C9/class/11.pdf
Arduino Mini USB Adapter. http://elesson.tc.edu.tw/md221/pluginfile.php/4151/mod_resource/content/1/arduino.pdf
Online electricity knowledge. http://bbs.audiohall.net/viewtopic.php?t=1337&sid=999
http://elesson.tc.edu.tw/md221/pluginfile.php/4151/mod_resource/content/1/arduino.pdf
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Kuo, YH., Lin, SH., Wu, E.HK. (2018). Easy i-Move: Structured Image Recognition Solution for Automatic Guided Vehicles. In: Pan, JS., Wu, TY., Zhao, Y., Jain, L. (eds) Advances in Smart Vehicular Technology, Transportation, Communication and Applications. VTCA 2017. Smart Innovation, Systems and Technologies, vol 86. Springer, Cham. https://doi.org/10.1007/978-3-319-70730-3_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-70730-3_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-70729-7
Online ISBN: 978-3-319-70730-3
eBook Packages: EngineeringEngineering (R0)