SYSTEM AND METHOD FOR DRONE AND OBJECT CLASSIFICATION
A method and system device provides a unique object identification process by obtaining information from one or more of radar signals, infrared signals, optical signals, audio signals, and other signals. The method includes continuously receiving object data at the device, applying by a machine lear...
Gespeichert in:
| Hauptverfasser: | , , , , , , , |
|---|---|
| Format: | Patent |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | Mackie, James David Robertson, Adam Eugene Argyle, Matthew Elliott Davis, Bryan Alan Thimm, David Preece, David Oldroyd, Mitchell Kay Valimaki, Mikko |
| description | A method and system device provides a unique object identification process by obtaining information from one or more of radar signals, infrared signals, optical signals, audio signals, and other signals. The method includes continuously receiving object data at the device, applying by a machine learning system, a set of parameters to process the object identification and confidence level, and outputting or updating the object identification, confidence level, and actionable recommendations. The radar data includes a Doppler signature having a wrapped signal due to a sampling rate of the radar system. The Doppler signature is used to train the machine learning system to identify drone types. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2020103499A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2020103499A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2020103499A13</originalsourceid><addsrcrecordid>eNrjZDANjgwOcfVVcPRzUfB1DfHwd1Fw8w9ScAny93MFC_o7ebk6hyg4-zgGB3u6eTo7hnj6-_EwsKYl5hSn8kJpbgZlN9cQZw_d1IL8-NTigsTk1LzUkvjQYCMDIwNDA2MTS0tHQ2PiVAEAcEEoWg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>SYSTEM AND METHOD FOR DRONE AND OBJECT CLASSIFICATION</title><source>esp@cenet</source><creator>Mackie, James David ; Robertson, Adam Eugene ; Argyle, Matthew Elliott ; Davis, Bryan Alan ; Thimm, David ; Preece, David ; Oldroyd, Mitchell Kay ; Valimaki, Mikko</creator><creatorcontrib>Mackie, James David ; Robertson, Adam Eugene ; Argyle, Matthew Elliott ; Davis, Bryan Alan ; Thimm, David ; Preece, David ; Oldroyd, Mitchell Kay ; Valimaki, Mikko</creatorcontrib><description>A method and system device provides a unique object identification process by obtaining information from one or more of radar signals, infrared signals, optical signals, audio signals, and other signals. The method includes continuously receiving object data at the device, applying by a machine learning system, a set of parameters to process the object identification and confidence level, and outputting or updating the object identification, confidence level, and actionable recommendations. The radar data includes a Doppler signature having a wrapped signal due to a sampling rate of the radar system. The Doppler signature is used to train the machine learning system to identify drone types.</description><language>eng</language><subject>ANALOGOUS ARRANGEMENTS USING OTHER WAVES ; CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES ; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES ; MEASURING ; PHYSICS ; RADIO DIRECTION-FINDING ; RADIO NAVIGATION ; TESTING</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200402&DB=EPODOC&CC=US&NR=2020103499A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200402&DB=EPODOC&CC=US&NR=2020103499A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Mackie, James David</creatorcontrib><creatorcontrib>Robertson, Adam Eugene</creatorcontrib><creatorcontrib>Argyle, Matthew Elliott</creatorcontrib><creatorcontrib>Davis, Bryan Alan</creatorcontrib><creatorcontrib>Thimm, David</creatorcontrib><creatorcontrib>Preece, David</creatorcontrib><creatorcontrib>Oldroyd, Mitchell Kay</creatorcontrib><creatorcontrib>Valimaki, Mikko</creatorcontrib><title>SYSTEM AND METHOD FOR DRONE AND OBJECT CLASSIFICATION</title><description>A method and system device provides a unique object identification process by obtaining information from one or more of radar signals, infrared signals, optical signals, audio signals, and other signals. The method includes continuously receiving object data at the device, applying by a machine learning system, a set of parameters to process the object identification and confidence level, and outputting or updating the object identification, confidence level, and actionable recommendations. The radar data includes a Doppler signature having a wrapped signal due to a sampling rate of the radar system. The Doppler signature is used to train the machine learning system to identify drone types.</description><subject>ANALOGOUS ARRANGEMENTS USING OTHER WAVES</subject><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES</subject><subject>LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>RADIO DIRECTION-FINDING</subject><subject>RADIO NAVIGATION</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDANjgwOcfVVcPRzUfB1DfHwd1Fw8w9ScAny93MFC_o7ebk6hyg4-zgGB3u6eTo7hnj6-_EwsKYl5hSn8kJpbgZlN9cQZw_d1IL8-NTigsTk1LzUkvjQYCMDIwNDA2MTS0tHQ2PiVAEAcEEoWg</recordid><startdate>20200402</startdate><enddate>20200402</enddate><creator>Mackie, James David</creator><creator>Robertson, Adam Eugene</creator><creator>Argyle, Matthew Elliott</creator><creator>Davis, Bryan Alan</creator><creator>Thimm, David</creator><creator>Preece, David</creator><creator>Oldroyd, Mitchell Kay</creator><creator>Valimaki, Mikko</creator><scope>EVB</scope></search><sort><creationdate>20200402</creationdate><title>SYSTEM AND METHOD FOR DRONE AND OBJECT CLASSIFICATION</title><author>Mackie, James David ; Robertson, Adam Eugene ; Argyle, Matthew Elliott ; Davis, Bryan Alan ; Thimm, David ; Preece, David ; Oldroyd, Mitchell Kay ; Valimaki, Mikko</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2020103499A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2020</creationdate><topic>ANALOGOUS ARRANGEMENTS USING OTHER WAVES</topic><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES</topic><topic>LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>RADIO DIRECTION-FINDING</topic><topic>RADIO NAVIGATION</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>Mackie, James David</creatorcontrib><creatorcontrib>Robertson, Adam Eugene</creatorcontrib><creatorcontrib>Argyle, Matthew Elliott</creatorcontrib><creatorcontrib>Davis, Bryan Alan</creatorcontrib><creatorcontrib>Thimm, David</creatorcontrib><creatorcontrib>Preece, David</creatorcontrib><creatorcontrib>Oldroyd, Mitchell Kay</creatorcontrib><creatorcontrib>Valimaki, Mikko</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mackie, James David</au><au>Robertson, Adam Eugene</au><au>Argyle, Matthew Elliott</au><au>Davis, Bryan Alan</au><au>Thimm, David</au><au>Preece, David</au><au>Oldroyd, Mitchell Kay</au><au>Valimaki, Mikko</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>SYSTEM AND METHOD FOR DRONE AND OBJECT CLASSIFICATION</title><date>2020-04-02</date><risdate>2020</risdate><abstract>A method and system device provides a unique object identification process by obtaining information from one or more of radar signals, infrared signals, optical signals, audio signals, and other signals. The method includes continuously receiving object data at the device, applying by a machine learning system, a set of parameters to process the object identification and confidence level, and outputting or updating the object identification, confidence level, and actionable recommendations. The radar data includes a Doppler signature having a wrapped signal due to a sampling rate of the radar system. The Doppler signature is used to train the machine learning system to identify drone types.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_US2020103499A1 |
| source | esp@cenet |
| subjects | ANALOGOUS ARRANGEMENTS USING OTHER WAVES CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PHYSICS RADIO DIRECTION-FINDING RADIO NAVIGATION TESTING |
| title | SYSTEM AND METHOD FOR DRONE AND OBJECT CLASSIFICATION |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T19%3A11%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Mackie,%20James%20David&rft.date=2020-04-02&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2020103499A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |