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Vancouver, Canada

Avigilon Corporation

Calculating rank

USPTO Granted Patents = 139

EPO Patents = 6

Trademarks = 6

Forward Citations = 1,186

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107 inventors (with patents filed for the assignee):

Sudeep Mohan (31 out of 38 patents)

Shaun P Marlatt (22 out of 24 patents)

Mahesh Saptharishi (17 out of 54 patents)

4. Pietro Russo (16 out of 41 patents)

5. Nigel Geoffrey Taylor (13 out of 17 patents)

6. Thomas W Holbrook (12 out of 12 patents)

7. Yanyan Hu (11 out of 19 patents)

8. Sina Afrooze (11 out of 11 patents)

9. Moussa Doumbouya (10 out of 11 patents)

10. Andrew Joseph Stark (10 out of 10 patents)

11. Kevin Piette (9 out of 13 patents)

12. Bo Yang Yu (9 out of 16 patents)

13. Ross Allen Mitchell (9 out of 11 patents)

14. Andrew Martz (8 out of 9 patents)

15. Ross Wightman (8 out of 9 patents)

Core Competencies:

Object Detection

Video Analytics

Anomaly Detection

Adaptive Streaming

Camera Calibration

Sensor Fusion

Surveillance Drone

License Plate Recognition

Multi-Headed Camera

Video Playback

Depth Data

Gesture Control

139 patents: Sort by Forward Citations

1. 11455801 - Generating signatures within a network that includes a plurality of computing devices of varying processing capabilities (2022-09-27),

2. 11386284 - System and method for improving speed of similarity based searches (2022-07-12),

3. 11381781 - Method and system for displaying video streams (2022-07-05),

4. 11321872 - Method for calibrating a camera using bounding boxes, and camera configured to perform that method (2022-05-03),

5. 11321592 - Method and system for tracking an object-of-interest without any required tracking tag theron (2022-05-03),

6. 11303877 - Method and system for enhancing use of two-dimensional video analytics by using depth data (2022-04-12),

7. 11302117 - Anomaly detection method, system and computer readable medium (2022-04-12),

8. 11295179 - Sensor fusion for monitoring an object-of-interest in a region (2022-04-05),

9. 11275906 - Natural language text conversion and method therefor (2022-03-15),

10. 11240542 - System and method for multiple video playback (2022-02-01),

11. 11240403 - Compensation for delay in PTZ camera system (2022-02-01),

12. 11237459 - Camera comprising a light-refracting apparatus for dispersing light (2022-02-01),

13. 11228764 - Streaming multiple encodings encoded using different encoding parameters (2022-01-18),

14. 11200148 - Method and system for identifying a source of a memory leak (2021-12-14),

15. 11197057 - Storage management of data streamed from a video source device (2021-12-07),

Company Overview

Avigilon Corporation, based in Vancouver, Canada, specializes in advanced video surveillance solutions. The company focuses on developing technologies such as object detection, video analytics, and anomaly detection to enhance security and monitoring capabilities. Avigilon's innovative products include adaptive streaming and camera calibration, which optimize video quality and performance. Additionally, the company explores sensor fusion and surveillance drones, along with license plate recognition systems, to provide comprehensive surveillance solutions tailored to various environments.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

139 Patents

#3 in Vancouver

#91 in Canada

#5,832 in the World

Vancouver, Canada

Avigilon Corporation

Forward Citations = 1,186

107 inventors:

Sudeep Mohan (31 out of 38 patents)

Shaun P Marlatt (22 out of 24 patents)

Mahesh Saptharishi (17 out of 54 patents)

4. Pietro Russo (16 out of 41 patents)

5. Nigel Geoffrey Taylor (13 out of 17 patents)

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

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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