{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10503966","patent":{"patent_number":"US-10503966","title":"Binocular pedestrian detection system having dual-stream deep learning neural network and the methods of using the same","assignee":null,"inventors":[],"filing_date":"2018-10-11T00:00:00.000Z","publication_date":"2019-12-10T00:00:00.000Z","cpc_codes":["G06T","G06F","G06F","G06F","G06F","G06N","G06N","G06N","G06N","G06N","G06T","G06V","G06V","G06V","G06V","G06V","G06V","G06V","G06V","G06V","H04N","H04N","H04N","G06T","G06T","G06T","G06T","G06T","H04N"],"num_claims":20,"abstract":"Aspects of present disclosure relates to a binocular pedestrian detection system (BPDS). BPDS includes: a binocular camera to capture certain binocular images of pedestrians passing through a predetermined area, an image/video processing ASIC to process binocular images captured, and a binocular pedestrian detection system controller having a processor, a network interface, and a memory storing computer executable instructions. When executed by processor, computer executable instructions cause processor to perform: capturing, by binocular camera, binocular images of pedestrians, binocularly rectifying binocular images, calculating disparity maps of binocular images rectified, training a dual-stream deep learning neural network, and detecting pedestrians passing through predetermined area using dual-stream deep learning neural network trained. Dual-stream deep learning neural network includes a neural network for extracting disparity features from disparity maps of binocular images, and a neural network for learning and fusing features from rectified left images and disparity maps of binocular images."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Binocular pedestrian detection system having dual-stream deep learning neural network and the methods of using the same","description":"Aspects of present disclosure relates to a binocular pedestrian detection system (BPDS). BPDS includes: a binocular camera to capture certain binocular images of pedestrians passing through a predeter","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10503966","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-10503966","citation_suggestion":"Patentable. \"Binocular pedestrian detection system having dual-stream deep learning neural network and the methods of using the same\" (US-10503966). https://patentable.app/patents/US-10503966","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10503966","json":"https://patentable.app/api/llm-context/US-10503966","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T18:52:55.034Z"}