• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. K
  4. Kuh…
  5. Kuhl Carmen
🔗 Permalink
Inventor profile of:

Carmen Kuhl

City:

Espoo

Country:

Finland

Published Applications:

5

Last publication date:

2014-06-19

Top Assignees for applications by Carmen Kuhl

The entities that hold a legal rights for patent applications filed by inventor Kuhl Carmen:

  • NOKIA CORPORATION 5 Espoo, Finland
  • Nokia Technologies Oy 1 Espoo, Finland

Recent patent applications by Kuhl Carmen

Carmen Kuhl from Espoo, FI has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2014-06-19
US20140167923A1
Electricity

Reader device for radio frequency identification transponder with transponder functionality

#2 | 2013-06-06
US20130141218A1
Physics

Reader device for radio frequency identification transponder with transponder functionality

#3 | 2008-10-16
US20080254780A1
Physics

Automated application-selective processing of information obtained through wireless data communication links

#4 | 2007-12-27
US20070299868A1
Physics

Method, device and system for information based automated selective data handling and provision by identification means

#5 | 2006-12-14
US20060280149A1
Electricity

Reader device for radio frequency identification transponder with transponder functionality

InventorID:

271325 ⎘

  1. Home
  2. Inventor
  3. K
  4. Kuh…
  5. Kuhl Carmen

Some parts © 2022-2026 Patents-Review.com

Browse & Discovery
  • Home
  • Patent Classification
  • Inventor Index
  • Assignee Index
  • Interesting Applications
Search & Tools
  • Basic Search
  • Advanced Search
  • Patent Alerts
  • Top Lists
  • Statistics
Information & Resources
  • About US Patent System
  • Terms & Privacy
  • Pricing
  • Contact
Quick Access
  • Latest Applications
  • Top Inventors 2026
  • Top Assignees 2026
  • Featured Patents
Disclaimer: This website is intended for informational purposes only, and its content is based on public patent records. Please note that some sections of this website have been created or processed using machine learning models. We provide content in good faith but make no guarantees regarding accuracy or completeness. By using this site, you accept any risks and waive claims against us for errors or omissions.