Predictive material handling equipment jam prevention

A computer-implemented method comprising:

• generating an input to a machine learning model, the input including a first image and a second image showing at least a portion of a material handling equipment, wherein the machine learning model is trained using training data that comprises another image and indicates, in the other image, a bounding box around an object that is being handled;
• determining an output of the machine learning model based at least in part on the input, the output including a prediction that a jam in the material handling equipment is to occur;
• determining, based at least in part on the prediction, that a jam prevention action is to be performed;
• and
• causing the jam prevention action to be performed such that the jam is prevented.

One or more computer-readable storage media storing instructions that, upon execution by one or more processors, cause the one or more processors to perform operations comprising:

• generating an input to a machine learning model, the input including a first image and a second image showing at least a portion of a material handling equipment, wherein the machine learning model is trained using training data that comprises another image and indicates, in the other image, a bounding box around an object that is being handled;
• determining an output of the machine learning model based at least in part on the input, the output including a prediction that a jam in the material handling equipment is to occur;
• determining, based at least in part on the prediction, that a jam prevention action is to be performed;
• and
• causing the jam prevention action to be performed such that the jam is prevented.