• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. S
  4. Sua…
  5. Suat Ozhan
🔗 Permalink
Inventor profile of:

Ozhan Suat

City:

Ankara

Country:

Turkey

Published Applications:

5

Last publication date:

2025-06-17

Top Assignees for applications by Ozhan Suat

The entities that hold a legal rights for patent applications filed by inventor Suat Ozhan:

  • BERTEC CORPORATION 5 Columbus, OH United States

Recent patent applications by Suat Ozhan

Ozhan Suat from Ankara, TR has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2025-06-17
US18214145
Physics

System for estimating a three dimensional pose of one or more persons in a scene

#2 | 2025-01-21
US18382838
Physics

System for training neural networks that predict the parameters of a human mesh model using dense depth and part-based UV map annotations

#3 | 2023-10-24
US18195777
Physics

System for training neural networks that predict the parameters of a human mesh model using dense depth and part-based UV map annotations

#4 | 2023-04-18
US17734492
Physics

System for estimating a pose of one or more persons in a scene

#5 | 2022-05-31
US17533096
Physics

System for estimating a three dimensional pose of one or more persons in a scene

InventorID:

7050756 ⎘

  1. Home
  2. Inventor
  3. S
  4. Sua…
  5. Suat Ozhan

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.