logo

For the Inventor, By the Inventor

Vancouver, Canada

Avigilon Fortress Corporation

USPTO Granted Patents = 57

% Expired Patents = 7.0



Forward Citations = 508

Loading Chart...
Loading Chart...

54 inventors (with patents filed for the assignee):

goldMedal Zhong Zhang (29 out of 68 patents)

silverMedal Peter L Venetianer (24 out of 68 patents)

bronzeMedal Weihong Yin (22 out of 48 patents)

4.  Alan J Lipton (21 out of 55 patents)

5.  Li Yu (19 out of 33 patents)

6.  Gary W Myers (18 out of 30 patents)

7.  Niels Haering (13 out of 41 patents)

8.  Andrew J Chosak (12 out of 34 patents)

9.  W Andrew Scanlon (11 out of 15 patents)

10.  Paul C Brewer (8 out of 19 patents)

11.  Zeeshan Rasheed (8 out of 17 patents)

12.  John I W Clark (8 out of 17 patents)

13.  Dana Eubanks (7 out of 17 patents)

14.  Himaanshu Gupta (7 out of 13 patents)

15.  Robert A Cutting (7 out of 9 patents)


Core Competencies:
Video Analytics
Object Tracking
Event Detection
Depth Sensing
Video Segmentation
3D Human Pose Modeling
Video Content Analysis
Intelligent Video Verification
Background Model Changes
Retail Environment Monitoring
Automated Visual Surveillance
Multichannel Video Analysis

57 patents:

1. 11594031 - Automatic extraction of secondary video streams (2023-02-28),
2. 11288495 - Object tracking and best shot detection system (2022-03-29),
3. 11170225 - Stationary target detection by exploiting changes in background model (2021-11-09),
4. 10929680 - Automatic extraction of secondary video streams (2021-02-23),
5. 10768769 - Automatic event detection, text generation, and use thereof (2020-09-08),
6. 10755259 - Intelligent video verification of point of sale (POS) transactions (2020-08-25),
7. 10708548 - Systems and methods for video analysis rules based on map data (2020-07-07),
8. 10687022 - Systems and methods for automated visual surveillance (2020-06-16),
9. 10664706 - System and method for detecting, tracking, and classifying objects (2020-05-26),
10. 10645350 - Video analytic rule detection system and method (2020-05-05),
11. 10642891 - Graph matching by sub-graph grouping and indexing (2020-05-05),
12. 10630971 - Automatic calibration of PTZ camera system (2020-04-21),
13. 10614311 - Automatic extraction of secondary video streams (2020-04-07),
14. 10599949 - Automatic moving object verification (2020-03-24),
15. 10586113 - Stationary target detection by exploiting changes in background model (2020-03-10),
Company Overview
Avigilon Fortress Corporation, headquartered in Vancouver, Canada, specializes in advanced video surveillance technology. The company focuses on developing innovative solutions that enhance security through sophisticated video analytics, object tracking, and event detection. Their expertise extends to depth sensing, video segmentation, and 3D human pose modeling, enabling intelligent video verification and comprehensive video content analysis. Avigilon's commitment to leveraging cutting-edge technology positions it as a leader in the field of security and surveillance solutions.
Profile summary synthesized from public USPTO records and patent filings.

logo

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

Avigilon Fortress Corporation USPTO Patent Assignee Logo
57 Patents

#13 in Vancouver

#239 in Canada

#12,573 in the World

Vancouver, CA
Vancouver, Canada

Avigilon Fortress Corporation

Forward Citations = 508

54 inventors:

goldMedal Zhong Zhang (29 out of 68 patents)

silverMedal Peter L Venetianer (24 out of 68 patents)

bronzeMedal Weihong Yin (22 out of 48 patents)

4.  Alan J Lipton (21 out of 55 patents)

5.  Li Yu (19 out of 33 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Avigilon Fortress Corporation. Retrieved from https://idiyas.com/company/avigilon-fortress

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]
Loading…