Skip to main content

2018 | OriginalPaper | Buchkapitel

An Interactive and Intelligent Tool for Circuit Component Recognition Through Virtual Reality

verfasst von : Shriram K. Vasudevan, S. N. Abhishek, N. K. Keerthana, Rajan Priyanka, A. Aravinth, M. Divya

Erschienen in: Intelligent Systems Technologies and Applications

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The electronic products that support the needs in our daily life require a long drawn out process for its development and building. Every step from scratch i.e. requirement collection to integration and testing, involves a lot of time consuming tasks. Generally, a technically sound person with good knowledge in simulation is assigned to carry out these tasks, yet it fritters away time. The idea proposed here is an application for generating NetList for the circuit drawn through hand gesture, powered by virtual reality. The application gets input from the user’s hand gesture using an additional hardware called leap motion sensor. This enables the users to draw any kind of circuit, of any size with any number of components. The completed circuit is captured and further processing is carried out. The circuit is isolated, recognized and segregation of the wires and components takes place in the consecutive phases. The next step involves identification of individual components and the aggregated NetList will be generated in the final step. And also, complex circuit which cannot fit into a limited space can be visualized in the virtual environment.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Bailey, D., Norman, A., Moretti, G.: Electronic Schematic Recognition. Massey University, Auckland (1997) Bailey, D., Norman, A., Moretti, G.: Electronic Schematic Recognition. Massey University, Auckland (1997)
2.
Zurück zum Zitat Feng, G.-H., Sun, Z., Christian, V.-G.: Hand-drawn electric circuit diagram understanding using 2D dynamic programming. In: Proceedings of the 11th International Conference on Frontiers in Handwriting Recognition (ICFHR 2008), Concordia University, Montreal, Quebec, Canada, 13–15 August 2008 Feng, G.-H., Sun, Z., Christian, V.-G.: Hand-drawn electric circuit diagram understanding using 2D dynamic programming. In: Proceedings of the 11th International Conference on Frontiers in Handwriting Recognition (ICFHR 2008), Concordia University, Montreal, Quebec, Canada, 13–15 August 2008
3.
Zurück zum Zitat Palakodety, R., Shah, V.: Hand-Drawn Circuit Recognition. Massachusetts Institute of Technology, Cambridge (2005) Palakodety, R., Shah, V.: Hand-Drawn Circuit Recognition. Massachusetts Institute of Technology, Cambridge (2005)
4.
Zurück zum Zitat Sridar, S., Subramanian, K.: Circuit recognition using netlist. In: 2013 IEEE Second International Conference on Image Information Processing (ICIIP), IEEE (2013) Sridar, S., Subramanian, K.: Circuit recognition using netlist. In: 2013 IEEE Second International Conference on Image Information Processing (ICIIP), IEEE (2013)
5.
Zurück zum Zitat Vasudevan, S.K., Venkatachalam, K., Anandaram, S., Menon, A.J.: A novel method for circuit recognition through image processing techniques. Asian J. Inf. Technol. 15, 1146–1150 (2016) Vasudevan, S.K., Venkatachalam, K., Anandaram, S., Menon, A.J.: A novel method for circuit recognition through image processing techniques. Asian J. Inf. Technol. 15, 1146–1150 (2016)
6.
Zurück zum Zitat Sreedasyam, R., Rao, A., Sachidanandan, N., Sampath, N., Vasudevan, S.K.: Aarya—a kinesthetic companion for children with autism spectrum disorder. J. Intell. Fuzzy Syst. 32(4), 1–6 (2017) Sreedasyam, R., Rao, A., Sachidanandan, N., Sampath, N., Vasudevan, S.K.: Aarya—a kinesthetic companion for children with autism spectrum disorder. J. Intell. Fuzzy Syst. 32(4), 1–6 (2017)
7.
Zurück zum Zitat Vasudevan, S.K., Vivek, C., Srivathsan, S.: An intelligent boxing application through augmented reality for two users – human computer interaction attempt. Indian J. Sci. Technol. 8(34), 1–7 (2015) Vasudevan, S.K., Vivek, C., Srivathsan, S.: An intelligent boxing application through augmented reality for two users – human computer interaction attempt. Indian J. Sci. Technol. 8(34), 1–7 (2015)
8.
Zurück zum Zitat Sundaram, V.M., Vasudevan, S.K., Santhosh, C., Barath Kumar, R.G.K., Deepak Kumar, G.: An augmented reality application with leap and android. Indian J. Sci. Technol. 8(7), 678–682 (2015)CrossRef Sundaram, V.M., Vasudevan, S.K., Santhosh, C., Barath Kumar, R.G.K., Deepak Kumar, G.: An augmented reality application with leap and android. Indian J. Sci. Technol. 8(7), 678–682 (2015)CrossRef
9.
Zurück zum Zitat Geethan, P., Jithin, P., Naveen, T., Padminy, K.V., Shruthi Krithika, J., Vasudevan, S.K.: Augmented reality X-ray vision with gesture interaction. Indian J. Sci. Technol. 8(S7), 43–47 (2015)CrossRef Geethan, P., Jithin, P., Naveen, T., Padminy, K.V., Shruthi Krithika, J., Vasudevan, S.K.: Augmented reality X-ray vision with gesture interaction. Indian J. Sci. Technol. 8(S7), 43–47 (2015)CrossRef
Metadaten
Titel
An Interactive and Intelligent Tool for Circuit Component Recognition Through Virtual Reality
verfasst von
Shriram K. Vasudevan
S. N. Abhishek
N. K. Keerthana
Rajan Priyanka
A. Aravinth
M. Divya
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-68385-0_31