{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11501572","patent":{"patent_number":"US-11501572","title":"Object behavior anomaly detection using neural networks","assignee":null,"inventors":[],"filing_date":"2019-03-25T00:00:00.000Z","publication_date":"2022-11-15T00:00:00.000Z","cpc_codes":["G06V","G06F","G06F","G06T","G06T","G06T","G06T","G06V","G06V","G06V","G06V","G06V","G06V","G06V","G06V","G06V","H04N","G06T","G06T","G06T","G06T","G06T","G06T","G06V","G06V"],"num_claims":20,"abstract":"In various examples, a set of object trajectories may be determined based at least in part on sensor data representative of a field of view of a sensor. The set of object trajectories may be applied to a long short-term memory (LSTM) network to train the LSTM network. An expected object trajectory for an object in the field of view of the sensor may be computed by the LSTM network based at least in part an observed object trajectory. By comparing the observed object trajectory to the expected object trajectory, a determination may be made that the observed object trajectory is indicative of an anomaly."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Object behavior anomaly detection using neural networks","description":"In various examples, a set of object trajectories may be determined based at least in part on sensor data representative of a field of view of a sensor. The set of object trajectories may be applied t","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11501572","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-11501572","citation_suggestion":"Patentable. \"Object behavior anomaly detection using neural networks\" (US-11501572). https://patentable.app/patents/US-11501572","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11501572","json":"https://patentable.app/api/llm-context/US-11501572","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T03:23:29.276Z"}