{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11250376","patent":{"patent_number":"US-11250376","title":"Product correlation analysis using deep learning","assignee":null,"inventors":[],"filing_date":"2019-07-23T00:00:00.000Z","publication_date":"2022-02-15T00:00:00.000Z","cpc_codes":["G06Q","G06N","G06N","G06T","G06T","G06T","G06V","G06V","G06V","G06V","H04N","G06T","G06T","G06T","G06T","G06T"],"num_claims":54,"abstract":"Systems and techniques are provided for tracking inventory events in an area of real space. A plurality of sensors produce respective sequences of frames in corresponding fields of view in the real space. The field of view of each sensor overlaps with the field of view of at least one other sensor. The processing system uses the sequences of frames produced by sensors in the plurality of sensors to identify gestures by detected subjects in the area of real space and produce inventory events. The inventory events include a subject identifier identifying a detected subject, a gesture type of the identified gesture by the detected subject, an item identifier identifying an inventory item linked to the gesture by the detected subject, a location of the gesture represented by positions in three dimensions of the area of real space and a timestamp."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Product correlation analysis using deep learning","description":"Systems and techniques are provided for tracking inventory events in an area of real space. A plurality of sensors produce respective sequences of frames in corresponding fields of view in the real sp","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11250376","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11250376","citation_suggestion":"Patentable. \"Product correlation analysis using deep learning\" (US-11250376). https://patentable.app/patents/US-11250376","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11250376","json":"https://patentable.app/api/llm-context/US-11250376","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T20:06:06.898Z"}