COUNTERFEIT PHARMACEUTICAL AND BIOLOGIC PRODUCT DETECTION USING PROGRESSIVE DATA ANALYSIS AND MACHINE LEARNING

COUNTERFEIT PHARMACEUTICAL AND BIOLOGIC PRODUCT DETECTION USING PROGRESSIVE DATA ANALYSIS AND MACHINE LEARNING

Techniques are provided for detecting counterfeit products. Measurements and images corresponding to a product are obtained, wherein at least a portion of the measurements or images are obtained from a mobile/IoT/IoB device. The measurements and images are provided to a trained machine learning mode...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Dillenberger, Donna N Eng, Dhinesh Kumar, Ashwin, Routray, Ramani R, BALAGURUSAMY, VENKAT K, Hillsberg, Bruce Light, Dudman, Mark
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:Techniques are provided for detecting counterfeit products. Measurements and images corresponding to a product are obtained, wherein at least a portion of the measurements or images are obtained from a mobile/IoT/IoB device. The measurements and images are provided to a trained machine learning model to progressively analyze the measurements and images. Based on the progressive analysis, a determination/prediction is made with an associated confidence score as to whether the product is real or counterfeit.