Control system for container terminal and related methods

A server for a control system for one or more terminal tractors operable within a container terminal with one or more containers therein,

• the control system comprising:
• one or more onboard tractor sensors for the one or more terminal tractors operable within the container terminal, the one or more onboard tractor sensors configured to generate sensor data of the one or more containers, wherein the one or more onboard tractor sensors comprises one or more image sensors configured to generate container image data of the one or more containers;
• one or more geolocation devices configured to generate one or more geolocation values for the one or more terminal tractors;
• one or more wireless transceivers;
• and
• one or more controllers coupled to the one or more onboard tractor sensors, the one or more geolocation devices, and the one or more wireless transceivers, the one or more controllers configured to transmit the container image data and the one or more geolocation values for the one or more terminal tractors to the server via the one or more wireless transceivers;
• the server comprising:
• one or more processors and one or more non-transitory computer-readable storage mediums cooperating therewith and in communication with the one or more wireless transceivers, the one or more non-transitory computer-readable storage mediums storing instructions comprising one or more algorithms configured for execution by the one or more processors, the one or more processors configured to:
• receive the container image sensor data and the one or more geolocation values for the one or more terminal tractors from the one or more wireless transceivers-terminal tractors;
• perform machine learning on the container 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 container image data;
• or
• a second machine learning model comprising a neural network trained to scan the text sequences in the container image data and predict a sequence of missing characters in the container image data;
• or
• a combination thereof, and
• generate a database associated with the sensor data, the database comprising, for each container, at least one of a container type value, a container logo image, a vehicle classification value, or a container slot location or a parking spot location, or a combination of two or more thereof,
• wherein the server is further configured to perform machine learning on the container image data including executing a machine learning model comprising a neural network trained to predict a container slot location or a parking spot location of the one or more containers of the plurality of containers,
• wherein the server is further configured to perform machine learning on the container image data including executing a machine learning model comprising a neural network trained to determine at least one of:
• an occupancy status of one or more container slot locations or parking spot locations of the container terminal, or
• one or more occupancy details of the one or more container slot locations or parking spot locations of the container terminal, or
• a combination thereof.

A method of operating one or more servers in a control system for one or more terminal tractors operable within a container terminal with one or more containers therein,

• the control system comprising:
• one or more onboard tractor sensors for the one or more terminal tractors operable within the container terminal, the one or more onboard tractor sensors configured to generate sensor data of at least one container of the one or more containers, wherein the one or more onboard tractor sensors comprises one or more image sensors configured to generate container image data of the one or more containers;
• one or more geolocation devices configured to generate one or more geolocation values for the one or more terminal tractors;
• one or more wireless transceivers;
• and
• one or more controllers coupled to the one or more onboard tractor sensors, the one or more geolocation devices, and the one or more wireless transceivers, the one or more controllers configured to transmit the container image data and the one or more geolocation values for the one or more terminal tractors to the one or more servers via the one or more wireless transceivers;
• the method comprising:
• operating the one or more servers in communication with the one or more wireless transceivers to:
• receive the container image data and the one or more geolocation values for the one or more terminal tractors from the one or more wireless transceivers;
• perform machine learning on the container 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 container image data;
• or
• a second machine learning model comprising a neural network trained to scan the text sequences in the container image data and predict a sequence of missing characters in the container image data;
• or
• a combination thereof;
• and
• generate a database associated with the container image sensor data, the database comprising, for each container, at least one of a container type value, a container logo image, a vehicle classification value, or a container slot location or parking spot location, or a combination of two or more thereof,
• wherein the method further comprises operating the one or more servers to perform machine learning on the container image data including executing a machine learning model comprising a neural network trained to predict a container slot location or parking spot location of the one or more containers of the plurality of containers,
• wherein the method further comprises operating the one or more servers to perform machine learning on the container image data including executing a machine learning model comprising a neural network trained to determine at least one of:
• an occupancy status of one or more container slot locations or parking spot locations of the container terminal, or
• one or more occupancy details of the one or more container slot locations or parking spot locations of the container terminal, or
• a combination thereof.