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For the Inventor, By the Inventor

San Francisco, CA, United States of America

Daniel L Fischetti

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This inventor holds 22 USPTO granted patents and 3 published patent applications, primarily in Deep Learning Applications. Top assignee: Standard Cognition, Corp.. Active years: 2018-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Daniel L Fischetti. Retrieved from https://idiyas.com/inventor/daniel-l-fischetti

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

Calculating rank
USPTO Granted Patents = 22 

% Patents Active = 100.0

Average Co-Inventor Count = 4.2

ph-index = 9

Forward Citations = 1,165(Granted Patents)


Company Filing History:

goldMedal22 out of 52 
 
Standard Cognition, Corp.
 patents

Years Active: 2018-2026

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Areas of Expertise:
Deep Learning
Inventory Tracking
Cashier-less Store
Sensor Recalibration
Machine Learning
Shopper Tracking
Image Recognition
Realtime Management
Confidence Levels
Inventory Events
Semantic Diffing
22 patents (USPTO):Explore Patents
1. 12737921 - Automated recalibration of sensors for monitoring an area of real space (2026-09-15),
2. 12705576 - Tracking inventory items in a store for re- stocking of inventory items to be re-stocked (2026-08-11),
3. 12243256 - Systems and methods to check-in shoppers in a cashier-less store (2025-03-04),
4. 12079769 - Automated recalibration of sensors for autonomous checkout (2024-09-03),
5. 12056660 - Tracking inventory items in a store for identification of inventory items to be re-stocked and for identification of misplaced items (2024-08-06),
6. 12026665 - Identifying inventory items using multiple confidence levels (2024-07-02),
7. 11810317 - Systems and methods to check-in shoppers in a cashier-less store (2023-11-07),
8. 11538186 - Systems and methods to check-in shoppers in a cashier-less store (2022-12-27),
9. 11361468 - Systems and methods for automated recalibration of sensors for autonomous checkout (2022-06-14),
10. 11295270 - Deep learning-based store realograms (2022-04-05),
11. 11270260 - Systems and methods for deep learning-based shopper tracking (2022-03-08),
12. 11200692 - Systems and methods to check-in shoppers in a cashier-less store (2021-12-14),
13. 11195146 - Systems and methods for deep learning-based shopper tracking (2021-12-07),
14. 11023850 - Realtime inventory location management using deep learning (2021-06-01),
15. 10650545 - Systems and methods to check-in shoppers in a cashier-less store (2020-05-12),

Title: The Innovative Journey of Daniel L Fischetti

Introduction: Daniel L Fischetti is a renowned inventor based in San Francisco, CA (US) known for his groundbreaking contributions to various industries.

Latest Patents: Daniel L Fischetti holds several patents in the fields of technology, healthcare, and sustainability, showcasing his diverse range of expertise.

Career Highlights: With a career spanning over two decades, Daniel has worked with top research institutions and companies to develop cutting-edge solutions that have revolutionized the way we live and work.

Collaborations: Throughout his career, Daniel has collaborated with leading universities, innovative startups, and established corporations, fostering a culture of creativity and innovation in every project he undertakes.

Conclusion: Daniel L Fischetti's passion for innovation and his relentless pursuit of excellence continue to inspire the next generation of inventors and shape the future of technology.

Profile summary based on public USPTO records.
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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