Use of artificial intelligence to detect defects in trains and method to use

The use of artificial intelligence to detect anomalies in moving trains, which is comprised of

• a portal,
• wherein the portal has defined sides and a defined top,
• wherein the portal is a structure that surrounds the tracks,
• wherein a train passes through the portal,
• a plurality of cameras,
• wherein the plurality of cameras is mounted to the portal and/or to the surface below the train,
• wherein the plurality of cameras capture high resolution images,
• a means of illumination,
• wherein the means of illumination is mounted to the portal and/or to the surface below the train,
• a speed detection device,
• wherein the speed detection device is linked to the plurality of cameras,
• wherein the speed detection device determines the shutter speed of the plurality of cameras,
• an identification tag,
• wherein the identification tag is attached to the railcar,
• wherein the identification tag contains the information about a specific railcar,
• a storage device,
• wherein the storage device houses the captured images,
• wherein the storage device houses information about the railcars,
• a plurality of models of railroad cars,
• wherein models of railroad cars are uploaded to the storage device,
• algorithms,
• wherein algorithms are developed to detect areas of concern,
• said algorithms are incorporated into the storage device,
• a human in the loop step,
• wherein a human in the loop validation is provided,
• wherein the human in the loop validates detection images that can be used to augment existing training sets,
• wherein the augmented training sets improve the machine learning models,
• wherein results of areas of concern can be transmitted to a remote location,
• wherein the results are transmitted in near real time.