Invention Grant
- Patent Title: Container fill level indication system using a machine learning algorithm
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Application No.: US15723993Application Date: 2017-10-03
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Publication No.: US10745263B2Publication Date: 2020-08-18
- Inventor: Kent Eldon Crouse , Jason Young , Clay Hopf
- Applicant: SONICU, LLC
- Applicant Address: US IN Greenfield
- Assignee: Sonicu, LLC
- Current Assignee: Sonicu, LLC
- Current Assignee Address: US IN Greenfield
- Agency: Frost Brown Todd LLC
- Agent Dennis S. Schell
- Main IPC: B67D1/04
- IPC: B67D1/04 ; G01F23/296 ; F17C1/12 ; F17C7/04 ; G06N3/08 ; G06N20/00 ; G01M3/32 ; F17C13/00 ; F17C13/02 ; F17C1/00 ; G01F22/00 ; G06Q10/08 ; G01F23/00 ; F17C1/04 ; B67D1/00

Abstract:
A liquid container refill management system including a machine learning algorithm and method of training the same, the system and method making use of noninvasive tank-in-tank measuring techniques. The system can comprise of a container fill level indicator. The container fill level indicator can be capable of detecting a vibration response signal on the outer surface of a container, wherein the system is capable of transmitting the response signal to a remote data processor for processing using a trained machine learning algorithm. The trained machine learning algorithm can be trained by the process of selecting model inputs and outputs to define an internal structure of the machine learning algorithm, applying a collection of input and output data samples to train the machine learning algorithm, and verifying the accuracy of the machine learning algorithm by applying input data samples and comparing received output values with expected output values.
Public/Granted literature
- US20180044159A1 CONTAINER FILL LEVEL INDICATION SYSTEM USING A MACHINE LEARNING ALGORITHM Public/Granted day:2018-02-15
Information query
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