| CPC B61L 25/021 (2013.01) [B61L 25/04 (2013.01); B61L 2207/02 (2013.01)] | 8 Claims |
|
1. 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.
|