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1.
公开(公告)号:US20190272908A1
公开(公告)日:2019-09-05
申请号:US16289665
申请日:2019-03-01
申请人: Tommy Lee Hill
发明人: Tommy Lee Hill
摘要: The present invention relates to a system and method for detecting counterfeit, fraudulent and even defectives pharmaceutical and doctor prescription. The system aids the patients to prevent from the potentially deadly Adverse Drug Event (ADE) and Adverse Drug Reaction (ADR) through pill identification, preparation including dose detection and administrative needs by errors due to handwritten prescriptions, instructions, incorrect or fraudulent labeling.
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2.
公开(公告)号:US20190172041A1
公开(公告)日:2019-06-06
申请号:US16267672
申请日:2019-02-05
申请人: Tommy Lee Hill
发明人: Tommy Lee Hill
摘要: The present invention relates to a self-operating networked kiosk device for providing an easy return, exchange and purchasing experience in a retail store environment. The kiosk device includes a vision module communicably coupled to the computing device and at least one sensor, such that the vision module captures a raw data related to the said item via the at least one sensor, an object and character recognition (OCR) module configured to identify a primary data from the raw data based on at least one predefined parameter, wherein the AI module is configured to identifying at least one first block having a first fingerprint data related to the item, the first block stored on a networked distributed ledger and creating a second block including the first fingerprint data and the second fingerprint data on the networked distributed ledger.
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公开(公告)号:US20190188732A1
公开(公告)日:2019-06-20
申请号:US16278724
申请日:2019-02-19
申请人: Tommy Lee Hill
发明人: Tommy Lee Hill
CPC分类号: G06Q30/0185 , G06K9/00664 , G06K2209/01 , G06N5/043
摘要: The present invention relates to a system and a method for ensuring for ensuring the credibility of an item among a plurality of change in custody of the item in a supply chain management. The system and method is adapted to detect counterfeit, fraudulent and even defectives items among a plurality of change in custody of the item in a supply chain management. The system has self-evolving and self-learning capabilities. The system includes a vision module captures a raw data related to the said item via the at least one sensor based on the at least one action, an object recognition and optical character recognition (OCR) module configured to identify a primary data from the raw data based on at least one predefined parameter and generate a fingerprint data. The AI module is adapted to store the fingerprint data at every change in custody of the item.
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