{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11507779","patent":{"patent_number":"US-11507779","title":"Two-stage deep learning framework for detecting the condition of rail car coupler systems","assignee":null,"inventors":[],"filing_date":"2020-07-24T00:00:00.000Z","publication_date":"2022-11-22T00:00:00.000Z","cpc_codes":["G06F","G06N","G06F","G06N","G06N","G06V","G06V","G06N"],"num_claims":18,"abstract":"Systems, devices, media, and methods are presented for training a predictive model to detect objects in digital images, such as detecting whether a cotter key is present or absent in a digital photograph of a rail car coupler. The training system includes curating a plurality of training datasets, each including a number of raw images, together with a number of adjusted, augmented, and duplicate images. The predictive model includes a localization algorithm and an ensemble of models for classification. The localization algorithm is a deep convolutional neural network (CNN) which identifies a region of interest. One of more of the deep CNN classification models generates a plurality of candidate regions associated with each region of interest, thereby generating a large number of additional regions useful for training. In use, the trained predictive model is part of a detection and notification system that processes new images from the field and broadcasts a notice when an anomaly is detected."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Two-stage deep learning framework for detecting the condition of rail car coupler systems","description":"Systems, devices, media, and methods are presented for training a predictive model to detect objects in digital images, such as detecting whether a cotter key is present or absent in a digital photogr","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11507779","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-11507779","citation_suggestion":"Patentable. \"Two-stage deep learning framework for detecting the condition of rail car coupler systems\" (US-11507779). https://patentable.app/patents/US-11507779","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11507779","json":"https://patentable.app/api/llm-context/US-11507779","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T19:51:36.814Z"}