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Zurich, Switzerland

Scandit Ag

USPTO Granted Patents = 46

Trademarks = 2

Forward Citations = 370

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42 inventors (with patents filed for the assignee):

Christian Floerkemeier (22 out of 22 patents)

Bernd Schoner (20 out of 45 patents)

Marco Valentino Biasini (15 out of 15 patents)

4. Matthias Bloch (9 out of 9 patents)

5. Vitali Samurov (9 out of 11 patents)

6. Oliver Akermann (9 out of 9 patents)

7. Daniel Scherly (7 out of 7 patents)

8. Iciar Martinez (6 out of 6 patents)

9. Luc Humair (6 out of 6 patents)

10. Christian Kündig (6 out of 6 patents)

11. Thomas Wesner (5 out of 5 patents)

12. Maiya Shur (5 out of 5 patents)

13. Fabian Nater (4 out of 12 patents)

14. Iciar Martinez (4 out of 4 patents)

15. Thibault Priquel (3 out of 3 patents)

Core Competencies:

Optical Pattern Recognition

Image Analysis

Secure ID Scanning

Multi-Barcode Detection

Label Verification

Visual Odometry

Depth Estimation

Character Segmentation

Dynamic Range Scanning

Optical Data Exchange

High-Speed Scanning

Identity Document Verification

46 patents: Sort by Forward Citations

1. 12762366 - Smart barcode detection (2026-10-13),

2. 12711794 - LABEL CAPTURE USING OPTICAL PATTERN RECOGNITION AND BARCODE SEMANTICS (2026-08-18),

3. 12657413 - Workflow improvements in electronic devices for scanning optical patterns (2026-06-16),

4. 12488473 - Multi-barcode detection in a real scene using interface enhancement based on user input (2025-12-02),

5. 12488211 - Label verification using image analysis (2025-12-02),

6. 12488208 - Secure ID scanning using image analysis (2025-12-02),

7. 12424011 - Local verification of an identity document based on optical pattern recognition (2025-09-23),

8. 12380571 - Image analysis for scanning optical patterns in a real scene at dynamic ranges (2025-08-05),

9. 12374078 - Building a catalog based on optical recognition of patterns in images (2025-07-29),

10. 12307737 - Adaptive selection area for image-based decoding of optical patterns (2025-05-20),

11. 12307552 - Selection and decoding of an optical pattern within a real scene using a frozen image from a video preview (2025-05-20),

12. 12175327 - Camera start optimization for optical pattern decoding (2024-12-24),

13. 12136064 - Optical pattern recognition for locating objects in an environment (2024-11-05),

14. 12131223 - Multi-threading performance improvements for recognition of optical patterns in images (2024-10-29),

15. 12079673 - Optical pattern decoding in a real scene using overlay functionality (2024-09-03),

Company Overview

Scandit AG, based in Zurich, Switzerland, specializes in advanced mobile computer vision technology. The company focuses on multi-barcode detection and optical pattern recognition, enabling high-speed scanning and image analysis across various applications. Scandit's solutions enhance identity document verification and optical data exchange, making them integral in sectors such as retail, logistics, and healthcare. Their innovative approach to visual odometry further supports mobile device imaging, providing businesses with efficient and reliable data capture solutions.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

46 Patents

#22 in Zurich

#313 in Switzerland

#15,122 in the World

Zurich, Switzerland

Scandit Ag

Forward Citations = 370

42 inventors:

Christian Floerkemeier (22 out of 22 patents)

Bernd Schoner (20 out of 45 patents)

Marco Valentino Biasini (15 out of 15 patents)

4. Matthias Bloch (9 out of 9 patents)

5. Vitali Samurov (9 out of 11 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Scandit Ag. Retrieved from https://idiyas.com/company/scandit-ag

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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