IP Library Granted Patent US 12,481,858
Granted Patent B1
US 12,481,858 · App. 18/215,336 · Granted Nov 25, 2025

Asset management with tags using location and environmental intelligence

Inventor: Martin A. Renkis (Nashville, TN)
Assignee: ALPHATAG CORPORATION
G06K19/07758G16Y40/35
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Quick Facts
Patent No.
US 12,481,858
App. No.
18/215,336
Filed
Jun 28, 2023
Granted
Nov 25, 2025
Kind
B1
Art Unit
2685
USPC
340/572.1
Abstract

Systems, apparatuses, and methods for asset tagging and management. Users connect any asset to the platform by scanning a tag affixed to the asset. Tagged assets are registered to a user's account. The platform deploys Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in order to promote efficient and effective management of a user's tagged assets, in addition to providing organizational, repair, and maintenance services for any tagged assets. The system incorporates location data and/or environmental data to manage the tagged assets.

Claims (64)

1 . A system for asset management comprising:

at least one tag attached to at least one asset;

an asset management platform including a server with a processor and a memory;

wherein the asset management platform includes an alert engine;

wherein the asset management platform is operable to search for the at least one asset based on input from a user;

wherein the at least one tag includes at least one sensor;

wherein the at least one tag is associated with asset data related to the at least one asset;

wherein the asset data is configured to be displayed on a display device upon the display device reading the at least one tag;

wherein the at least one sensor is configured to collect data related to the at least one asset and transmit the data to the asset management platform;

wherein the asset management platform utilizes machine learning and/or artificial intelligence to predict actions of interest to the user based on patterns in the data;

wherein the machine learning and/or artificial intelligence includes a Bayesian inference engine;

wherein the data includes environmental data, location data, image data, video data, and/or audio data;

wherein the alert engine of the asset management platform is configured to send an alert to a device in communication with the platform based on the data and a condition;

wherein the asset management platform is configured to instruct an Internet of Things (IoT) device to take an action upon the data related to the at least one asset meeting or exceeding a predetermined value for the at least one asset; and

wherein the action includes notifying emergency services that the at least one asset is stolen based on the data and the condition.

2 . The system of claim 1 , wherein the sensor includes a temperature sensor, wherein the alert is created based on a temperature measured by the sensor reaching a threshold or a temperature remaining above or below a threshold temperature for a predetermined time.

3 . The system of claim 1 , wherein the asset management platform includes a learning engine, wherein the learning engine is configured to analyze historical data from the at least one sensor using the machine learning or the artificial intelligence, and identify trends in the historical data, and wherein the alert engine creates the alert based on the data and the historical data.

4 . The system of claim 1 , wherein the asset management platform is further configured to send an instruction to an Internet of Things (IoT) device to change a parameter, activate, or deactivate based on the data and the condition.

5 . The system of claim 1 , wherein the at least one tag associated with the at least one asset includes a multiplicity of tags associated with a multiplicity of assets, wherein each of the multiplicity of tags is configured to send state information including data measured by at least one sensor to the asset management platform, and wherein the Bayesian inference engine is configured to receive the data from a multiplicity of sensors associated with the multiplicity of assets and create analyzed data based on the data received from the multiplicity of sensors, and wherein the asset management platform is configured to instruct an Internet of Things (IoT) device to perform an action based on the analyzed data.

6 . The system of claim 1 , wherein the data includes the location data, wherein the location data is associated with a location outside of a geofence indicating that the at least one tag is located outside of the geofence, and wherein the alert is based on the at least one tag being located outside of the geofence.

7 . The system of claim 1 , wherein the at least one asset is not configured to connect to a network or communicate over a network.

8 . The system of claim 1 , further comprising at least one second tag attached to at least one second asset, wherein the at least one second tag is associated with asset data related to the at least one second asset, and wherein an analysis engine is configured to compare the asset data related to the at least one second asset to the asset data related to the at least one asset.

9 . A system for asset management comprising:

at least one tag associated with at least one asset;

an asset management platform including a server with a processor and a memory;

wherein the at least one tag includes at least one sensor;

wherein the at least one tag is associated with asset data related to the at least one asset;

wherein the asset data is configured to be displayed on a display device upon the display device reading the at least one tag;

wherein the at least one sensor is configured to collect data related to the at least one asset and transmit the data to the asset management platform;

wherein the asset management platform is operable to search for the at least one asset based on input from a user;

wherein the asset management platform utilizes machine learning and/or artificial intelligence to predict actions of interest to the user based on patterns in the data;

wherein the machine learning and/or artificial intelligence includes a Bayesian inference engine;

wherein the data includes environmental data, location data, image data, video data, and/or audio data;

wherein the asset management platform is configured to send an instruction to an Internet of Things (IoT) device to change a parameter of the IoT device, activate the IoT device, or deactivate the IoT device based on the data and a condition;

wherein the asset management platform is configured to instruct the IoT device to take an action upon the data related to the at least one asset meeting or exceeding a predetermined value for the at least one asset; and

wherein the action includes notifying emergency services that the at least one asset is stolen based on the data and the condition.

10 . The system of claim 9 , wherein the data includes the location data, wherein the location data is associated with a location outside of a geofence indicating that the at least one tag is located outside of the geofence, and wherein the alert is based on the at least one tag being located outside of the geofence.

11 . The system of claim 9 , wherein the data includes the location data and the environmental data, wherein the environmental data includes humidity, temperature, and/or an ultraviolet (UV) index.

12 . The system of claim 9 , wherein the asset management platform includes a learning engine and an alert engine, wherein the learning engine is configured to analyze historical data from the at least one sensor and identify trends in the historical data, and wherein the alert engine is configured to create an alert based on the data and the historical data.

13 . A system for asset management comprising:

at least one first tag attached to at least one first asset;

at least one second tag attached to at least one second asset;

an asset management platform including a server with a processor and a memory;

wherein the asset management platform includes an analysis engine and an alert engine;

wherein the asset management platform is operable to search for the at least one asset based on input from a user;

wherein the asset management platform utilizes machine learning and/or artificial intelligence to predict actions of interest to the user based on patterns in the data;

wherein the machine learning and/or artificial intelligence includes a Bayesian inference engine;

wherein the at least one first tag includes at least one first sensor;

wherein the at least one second tag includes at least one second sensor;

wherein the at least one first tag is associated with asset data related to the at least one first asset;

wherein the at least one second tag is associated with asset data related to the at least one second asset;

wherein the asset data related to the at least one first asset is configured to be displayed on a display device upon the display device reading the at least one first tag;

wherein the asset data related to the at least one second asset is configured to be displayed on a display device upon the display device reading the at least one second tag;

wherein the at least one first sensor is configured to collect data related to the at least one first asset and transmit the data related to the at least one first asset to the asset management platform;

wherein the at least one second sensor is configured to collect data related to the at least one first second and transmit the data related to the at least one second asset to the asset management platform;

wherein the data related to the first asset and the data related to the second asset includes environmental data, location data, image data, video data, and/or audio data; and

wherein the analysis engine is configured to compare the data related to the first asset to a predetermined value for the first asset;

wherein the analysis engine is configured to compare the data related to the second asset to a predetermined value for the second asset;

wherein the alert engine is configured to send an alert or an instruction to a device in communication with the platform upon the data related to the first asset meeting or exceeding the predetermined value for the first asset and the data related to the second asset meeting or exceeding the predetermined value for the second asset;

wherein the asset management platform is configured to instruct an Internet of Things (IoT) device to take an action upon the data related to the first asset meeting or exceeding the predetermined value for the first asset and the data related to the second asset meeting or exceeding the predetermined value for the second asset; and

wherein the action includes notifying emergency services that the at least one asset is stolen based on the data and a condition.

14 . The system of claim 13 , wherein the data related to the first asset and the data related to the second asset include location data.

15 . The system of claim 13 , wherein the data related to the first asset and the data related to the second asset include different data types.

16 . The system of claim 13 , wherein the at least one first tag is configured to communicate the asset data related to the at least one first asset to the at least one second tag.

Assignments (2)
CHANGE OF NAME Recorded Feb 3, 2025
From: TAGII, INC.
To: ALPHATAG CORPORATION
Reel/Frame 070096/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 6, 2023
From: RENKIS, MARTIN A.
To: TAGII, INC.
Reel/Frame 064165/0343 →
Continuity (1)
Provisional Application 63356744 · Jun 29, 2022
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