For the Inventor, By the Inventor

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Cambridge, MA, United States of America

Waylens, Inc.

USPTO Granted Patents = 18

Trademarks = 4

Forward Citations = 144

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18 inventors (with patents filed for the assignee):

Jeffery R Campbell (12 out of 22 patents)

Haowei Zhang (6 out of 6 patents)

Dawei Shen (5 out of 5 patents)

4. Michael Frank Schmidt (3 out of 3 patents)

5. Tao Lin (2 out of 53 patents)

6. Linlin Song (2 out of 2 patents)

7. Kechao Li (2 out of 12 patents)

8. Xinsong Wang (2 out of 2 patents)

9. Jingyang Yao (2 out of 7 patents)

10. Xiaoyu Li (2 out of 2 patents)

11. Mark Philip Salesses (2 out of 2 patents)

12. Farshid Alizadeh-Shabdiz (1 out of 119 patents)

13. Shelby Lee Johnson (1 out of 1 patent)

14. Stephen Elliott Gordon (1 out of 81 patents)

15. Dinghao Shi (1 out of 1 patent)

18 patents: Sort by Forward Citations

1. 12525069 - Event detection by combining two or more data sources on a vehicle (2026-01-13),

2. 12175578 - Dynamic roadway scene re-creation using video analytics, metadata and interpolation (2024-12-24),

3. 12175577 - Roadway scene re-creation using video analytics and metadata (2024-12-24),

4. 12164564 - Dynamic partitioning of input frame buffer to optimize resources of an object detection and recognition system (2024-12-10),

5. 12067878 - Crowd sourced real-time parking space detection and notification (2024-08-20),

6. 11856331 - Extracting and transmitting video analysis metadata for a remote database (2023-12-26),

7. 11803617 - System and method to increase confidence of roadway object recognition through gamified distributed human feedback (2023-10-31),

8. 11417098 - Determining location coordinates of a vehicle based on license plate metadata and video analytics (2022-08-16),

9. 11416542 - System and method for uploading still images of matching plates in response to an alert hit list using distributed LPR acquisition (2022-08-16),

10. 11250054 - Dynamic partitioning of input frame buffer to optimize resources of an object detection and recognition system (2022-02-15),

11. 11151192 - Preserving locally stored video data in response to metadata-based search requests on a cloud-based database (2021-10-19),

12. 11010643 - System and method to increase confidence of roadway object recognition through gamified distributed human feedback (2021-05-18),

13. 10984275 - Determining location coordinates of a vehicle based on license plate metadata and video analytics (2021-04-20),

14. 10803324 - Adaptive, self-evolving learning and testing platform for self-driving and real-time map construction (2020-10-13),

15. 10686984 - Connected camera system (2020-06-16),

Company Overview

Waylens, Inc. is a technology company based in Cambridge, MA, specializing in advanced automotive solutions. The organization focuses on developing innovative products that enhance the driving experience through data collection and analysis. Their expertise lies in integrating hardware and software to create systems that capture and interpret vehicle performance and driver behavior. Waylens aims to empower automotive enthusiasts and professionals with tools that provide deeper insights into their vehicles, fostering a community centered around automotive innovation.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

18 Patents

#154 in Cambridge, MA

#1,102 in Massachusetts

#17,963 in US

#34,217 in the World

Cambridge, MA, United States of America

Waylens, Inc.

Forward Citations = 144

18 inventors:

Jeffery R Campbell (12 out of 22 patents)

Haowei Zhang (6 out of 6 patents)

Dawei Shen (5 out of 5 patents)

4. Michael Frank Schmidt (3 out of 3 patents)

5. Tao Lin (2 out of 53 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Waylens, Inc.. Retrieved from https://idiyas.com/company/waylens

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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