UnfoldIPThemesResearch

Company patents

STRONG FORCE TP PORTFOLIO 2022, LLC

STRONG FORCE TP PORTFOLIO 2022, LLC exhibits a surprisingly broad patent strategy, with nearly all categories representing over 75% of its 102-patent portfolio, suggesting a focus on acquiring diverse technology assets rather than deep specialization. While categories like Speech Processing saw a rapid emergence with a +283.3% YoY growth in 2024, the significant decline across all categories in 2025 (e.g., Time / Attendance / Access Control dropping by -63.2%) indicates a potential shift in acquisition or filing priorities following a surge in 2024.

Patent Trend by Technology Area

Yearly patent publications since 2023

Product themes

Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.

102 US filings (since 2023) · 10 categories · 10 themes

Smart City & Infrastructure Management

Systems and methods that leverage location data, IoT sensors, and predictive analytics to optimize urban services such as traffic flow, emergency response, parking, and waste collection.

Navigation & Geodesy
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50since 2023
-44.4%YoY
Autonomous Fleet & Task Management

Systems for coordinating and controlling fleets of autonomous vehicles or machines, including task allocation, route optimization, and monitoring their operational status and progress.

Time / Attendance / Access Control
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29since 2023
-46.2%YoY
Driver State Monitoring

Systems that monitor a vehicle operator's physiological state, attentiveness, or behavior using in-cabin sensors and machine learning to enhance safety or personalize vehicle functions.

Vehicle Control Systems
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27since 2023
-72.2%YoY
Vehicle Telematics & Diagnostics

Technologies for monitoring vehicle performance, detecting faults, collecting operational data, and providing remote assistance or automated control based on sensor inputs and network connectivity.

Time / Attendance / Access Control
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10since 2023
-71.4%YoY
Digital Twins & Blockchain for Assets

Creating virtual representations (digital twins) of physical industrial assets or processes for simulation and analysis, often combined with blockchain technology for secure data traceability and distributed control.

Industrial Control Systems
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9since 2023
-85.7%YoY
VRU Protection & Localization

Systems and methods for enhancing the safety of vulnerable road users (pedestrians, cyclists) by improving their detection, prediction, and precise localization relative to the vehicle, often leveraging communication technologies and specialized markers.

Vehicle Control Systems
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6since 2023
n/a
AI/ML for Industrial Process Optimizationfiltered

Applying machine learning and artificial intelligence models to analyze industrial data, predict system behavior, and optimize control strategies for improved efficiency, quality, or environmental compliance in manufacturing and operations.

Industrial Control Systems
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5since 2023
-50.0%YoY
Electric Powertrain Efficiency & Control

Methods and components for optimizing the performance, efficiency, and control of electric motors, inverters, and power converters within electric vehicle and hybrid vehicle drivetrains.

Vehicle Control Systems
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3since 2023
+100.0%YoY
Cooperative Driving & Maneuver Planning

Algorithms and systems for planning and executing complex vehicle maneuvers, often involving cooperation with other vehicles or infrastructure, to optimize traffic flow, avoid collisions, or navigate challenging scenarios. This includes lane changes, cut-ins, and traffic congestion.

Vehicle Control Systems
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3since 2023
-50.0%YoY
Personalized Recommendations

Systems that use user data, preferences, and machine learning to generate tailored advice, product recommendations, goal-setting plans, or contextual information for individuals across different domains.

Business Methods & Fintech
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3since 2023
0.0%YoY

Patents

Showing 1-5 of 5

AI/ML for Industrial Process Optimization
Page 1 of 1
US 12298760 B2GRANTED
G05D1/00

Neural net optimization of continuously variable powertrain

Filed:2024-02-29Pub:2025-05-13
Applicant:STRONG FORCE TP PORTFOLIO 2022, LLC

A method for optimizing a vehicle system involves using a neural network to optimize at least one operating parameter of a transmission portion of a continuously variable powertrain based at least in part on a classified current state of a vehicle, wherein the current state is associated with a predicted future vehicle state.

US 12153424 B2GRANTED
G06N20/00

Three different neural networks to optimize the state of the vehicle using social data

Filed:2022-10-31Pub:2024-11-26
Applicant:STRONG FORCE TP PORTFOLIO 2022, LLC

A method of optimizing an operating state of a vehicle includes classifying, using a first neural network of a hybrid neural network, social media data sourced from a plurality of social media sources as affecting a transportation system. The method further includes predicting, using a second neural network of the hybrid neural network, one or more effects of the classified social media data on the transportation system. The method further includes optimizing, using a third neural network of the hybrid neural network, a state of at least one vehicle of the transportation system, wherein the optimizing addresses an influence of the predicted one or more effects on the at least one vehicle.

US 20240201687 A1APPLICATION
G05D1/00

NEURAL NET OPTIMIZATION OF CONTINUOUSLY VARIABLE POWERTRAIN

Filed:2024-02-29Pub:2024-06-20
Applicant:STRONG FORCE TP PORTFOLIO 2022, LLC

A method for optimizing a vehicle system involves using a neural network to optimize at least one operating parameter of a transmission portion of a continuously variable powertrain based at least in part on a classified current state of a vehicle, wherein the current state is associated with a predicted future vehicle state.

US 11694288 B2GRANTED
G06Q50/18

Method of optimizing rider satisfaction

Filed:2020-05-29Pub:2023-07-04
Applicant:STRONG FORCE TP PORTFOLIO 2022, LLC

A method of optimizing rider satisfaction includes classifying, using a first neural network of a hybrid neural network, social media data sourced from a plurality of social media sources as indicative of an effect on a transportation system. The method further includes predicting, using a second neural network of the hybrid neural network, at least one aspect of rider satisfaction affected by an effect on the transportation system derived from the social media data classified as indicative of an effect on the transportation system. The method still further includes optimizing, using a third neural network of the hybrid neural network, the at least one aspect of rider satisfaction for at least one rider occupying a vehicle in the transportation system.

US 20230050549 A1APPLICATION
G05D1/00

THREE DIFFERENT NEURAL NETWORKS TO OPTIMIZE THE STATE OF THE VEHICLE USING SOCIAL DATA

Filed:2022-10-31Pub:2023-02-16
Applicant:STRONG FORCE TP PORTFOLIO 2022, LLC

A method of optimizing an operating state of a vehicle includes classifying, using a first neural network of a hybrid neural network, social media data sourced from a plurality of social media sources as affecting a transportation system. The method further includes predicting, using a second neural network of the hybrid neural network, one or more effects of the classified social media data on the transportation system. The method further includes optimizing, using a third neural network of the hybrid neural network, a state of at least one vehicle of the transportation system, wherein the optimizing addresses an influence of the predicted one or more effects on the at least one vehicle.

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