System and method for classifying material

A system for classifying materials, the system comprising:

• at least one hodoscope comprising at least one first (2D sensitive) detector unit and at least one second (2D sensitive) detector unit, wherein the first detector unit and the second detector unit are spaced apart by a predetermined first distance to configure a volume of interest (VOI) between the first detector unit and the second detector unit, wherein the VOI is configured to receive therein samples of materials within the VOI;
• and
• a processor communicably coupled to the at least one hodoscope, wherein the processor is configured to:
• reconstruct the VOI using a plurality of spatial resolution units,
• track high energy particles passing through the VOI by identifying spatial resolution units interacting with the high energy particles, wherein each of the identified spatial resolution units represent one or more features associated with the samples of materials received in the VOI,
• create a dataset using the one or more features associated with each of the samples of materials, wherein the dataset of each of the samples of materials include a unique data-signature, and
• train a machine learning model using the dataset of each of the samples of materials for classifying the materials.