• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. D
  4. Dav…
  5. Davis Donnell A.
🔗 Permalink
Inventor profile of:

Donnell A. Davis

City:

Bowie, Maryland

Country:

United States

Published Applications:

7

Last publication date:

2023-01-17

Recent patent applications by Davis Donnell A.

Donnell A. Davis from Bowie, US has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2023-01-17
US17898748
Human necessities

Systems, methods, and computer program product for smart relay race training with relay baton exchange tracking

#2 | 2021-03-11
US20210075825A1
Electricity

Methods and systems providing cyber defense for electronic identification, vehicles, ancillary vehicle platforms and telematics platforms

#3 | 2020-04-28
US14923371
Human necessities

Mobile electronic track start system

#4 | 2016-08-11
US20160232770A1
Physics

Pedestrian security dye pack system

#5 | 2015-11-19
US20150332563A1
Physics

Wearable pedestrian safety radar system

#6 | 2015-09-08
US14303463
Human necessities

Electronic track baton device

#7 | 2014-09-04
US20140249713A1
Performing operations; transporting

Multi-function electronic display license plate system

InventorID:

897452 ⎘

  1. Home
  2. Inventor
  3. D
  4. Dav…
  5. Davis Donnell A.

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.