US 12,254,439 B2
Control system for container terminal and related methods
Mark D. Mills, Odessa, FL (US); Artem Igorevich Davtyan, New Port Richey, FL (US); Matthew Michael McDermott, Weeki Wachee, FL (US); Jorge A. Perez Rincon, Odessa, FL (US); and Christopher Alexander, Tarpon Springs, FL (US)
Assigned to All Terminal Services, LLC, Westmont, IL (US)
Filed by All Terminal Services, LLC, Westmont, IL (US)
Filed on Jun. 20, 2024, as Appl. No. 18/748,961.
Application 18/748,961 is a continuation of application No. 18/060,162, filed on Nov. 30, 2022.
Application 18/060,162 is a continuation in part of application No. 16/951,015, filed on Nov. 18, 2020, granted, now 12,020,148, issued on Jun. 25, 2024.
Claims priority of provisional application 63/284,071, filed on Nov. 30, 2021.
Claims priority of provisional application 62/936,715, filed on Nov. 18, 2019.
Prior Publication US 2024/0354690 A1, Oct. 24, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 10/083 (2024.01)
CPC G06Q 10/083 (2013.01) 19 Claims
OG exemplary drawing
 
1. A control system for an inventory management facility, the control system comprising:
one or more shipping assets in the inventory management facility;
one or more sensors configured to generate sensor data of the one or more shipping assets; and
a server in communication with the one or more sensors, the server including one or more processors and one or more non-transitory computer-readable storage mediums storing instructions comprising one or more algorithms that when executed by the one or more processors cause the one or more processors to perform steps to:
generate a database associated with the one or more shipping assets based upon the sensor data; and
track at least one of a location or a movement, or a combination thereof, of a shipping asset of the one or more shipping assets within the inventory management facility,
wherein the one or more sensors comprises one or more image sensors configured to generate image data, and
wherein the server is configured to identify a shipping asset of the one or more shipping assets based upon the image data,
wherein the server is configured to perform optical character recognition (OCR) on the image data including at least one of:
generating a text string for the shipping asset,
determining a color of the shipping asset, or
generating logo image data associated with a logo carried by the shipping asset, or
a combination of two or more thereof; and
wherein the server is configured to perform machine learning on the image data including executing at least one of:
a first machine learning model comprising a neural network trained to predict a location of text sequences in the image data; or
a second machine learning model comprising a neural network for scanning the text sequences and predicting a sequence of missing characters; or
a combination thereof,
wherein the server is configured to track the at least one of the location or the movement, or the combination thereof, of the shipping asset within the inventory management facility based on the at least one of the generated text string for the shipping asset, the determined color of for the shipping asset, or the generated logo image data for the shipping asset, or the combination of two or more thereof; and
one or more vehicles in the inventory management facility,
wherein the server is in communication with a vehicle of the one or more vehicles and is configured to transmit one or more operational values to the vehicle to position the shipping asset at a predetermined location within the inventory management facility based upon the sensor data, and
wherein the vehicle comprises:
a geolocation device configured to generate a geolocation value for the vehicle;
a wireless transceiver configured to communicate with the server; and
a controller coupled to the wireless transceiver and the geolocation device,
wherein the controller is configured to transmit the geolocation value for the vehicle to the server.