Invention Grant
- Patent Title: Classification of dangerous goods via machine learning
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Application No.: US16413058Application Date: 2019-05-15
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Publication No.: US11663635B2Publication Date: 2023-05-30
- Inventor: Julian Stoettinger , Volker Loch , Rolf Mahr , Rohit Kumar Gupta , Johannes Hoehne
- Applicant: SAP SE
- Applicant Address: DE Walldorf
- Assignee: SAP SE
- Current Assignee: SAP SE
- Current Assignee Address: DE Walldorf
- Agency: Buckley, Maschoff & Talwalkar LLC
- Main IPC: G06N5/046
- IPC: G06N5/046 ; G06N20/00 ; G06F18/2431 ; G06Q30/0282 ; G06F16/28

Abstract:
Provided is a system and method that can identify whether an item is a dangerous good. The system can determine whether a product belongs in any of a number of different classes of dangerous goods from among a plurality of different regulations based on a machine learning algorithm which performs a text-based classification. In one example, the method may include receiving an identification of an object, retrieving a plurality of descriptive attributes of the object from a data store and converting the plurality of descriptive attributes into an input string, predicting whether the object is a dangerous object via execution of a text-based machine learning algorithm that receives the input string as an input, and outputting information about the prediction of the object for display via a user interface.
Information query