Systems and methods for detecting tanks in railway environments

A device comprising one or more processors and a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:

• training, via a training module, an image detection tool to identify a tank within an image using a machine learning model;
• capturing images of railway environment, via a camera attached to a train car, while the train car is moving along a railroad track;
• identifying, via the image detection tool, a tank within an image of a railway environment;
• analyzing, via the image detection tool, the tank to determine one or more characteristics associated with the tank;
• classifying, by the image detection tool, the tank into a first tank classification associated with the tank containing a hazardous material, based on the one or more characteristics;
• comparing, via the image detection tool, a distance between the tank containing the hazardous material and a railroad track to a predetermined threshold distance;
• determining, via the image detection tool, that the tank containing the hazardous material presents a hazard to the railway environment based on:
• classifying the tank into the first tank classification, and
• the comparison of the distance between the tank containing the hazardous material and the railroad track and the predetermined threshold distance;
• and
• generating, by the image detection tool, an alert in response to determining that the tank containing the hazardous material presents the hazard to the railway environment.

One or more non-transitory computer-readable storage media embodying instructions that, when executed by a processor, cause the processor to perform operations comprising:

• training, via a training module, an image detection tool to identify a tank within an image using a machine learning model;
• capturing images of railway environment, via a camera attached to a train car, while the train car is moving along a railroad track;
• identifying, via the image detection tool, a tank within an image of a railway environment;
• analyzing, via the image detection tool, the tank to determine one or more characteristics associated with the tank;
• classifying, by the image detection tool, the tank into a first tank classification associated with the tank containing a hazardous material, based on the one or more characteristics;
• comparing, via the image detection tool, a distance between the tank containing the hazardous material and a railroad track to a predetermined threshold distance;
• determining, via the image detection tool, that the tank containing the hazardous material presents a hazard to the railway environment based on:
• classifying the tank into the first tank classification, and
• the comparison of the distance between the tank containing the hazardous material and the railroad track and the predetermined threshold distance;
• and
• generating, by the image detection tool, an alert in response to determining that the tank containing the hazardous material presents the hazard to the railway environment.