{"id":7477,"date":"2022-03-31T08:15:13","date_gmt":"2022-03-31T08:15:13","guid":{"rendered":"https:\/\/www.beaconzone.co.uk\/blog\/?p=7477"},"modified":"2022-03-31T08:20:32","modified_gmt":"2022-03-31T08:20:32","slug":"processing-ibeacon-rssi-ai-using-machine-learning","status":"publish","type":"post","link":"https:\/\/www.beaconzone.co.uk\/blog\/processing-ibeacon-rssi-ai-using-machine-learning\/","title":{"rendered":"Processing iBeacon RSSI Using AI Machine Learning"},"content":{"rendered":"\n<p>There&#8217;s new research from China on <a href=\"https:\/\/www.researchgate.net\/publication\/359510589_Regional_Double-Layer_High-Precision_Indoor_Positioning_System_Based_on_iBeacon_Network\" target=\"_blank\" rel=\"noreferrer noopener\">Regional Double-Layer, High-Precision Indoor Positioning System Based on iBeacon Network<\/a>.<\/p>\n\n\n\n<p>The project used extended Gaussian filtering to delete and filter significant abnormal data values caused by multipath radio noise indoors. A deep neural network was also used to fingerprint data.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"625\" height=\"406\" src=\"https:\/\/www.beaconzone.co.uk\/blog\/wp-content\/uploads\/2022\/03\/ibeaconindoorpositioningsystem.png\" alt=\"\" class=\"wp-image-7478\" srcset=\"https:\/\/www.beaconzone.co.uk\/blog\/wp-content\/uploads\/2022\/03\/ibeaconindoorpositioningsystem.png 625w, https:\/\/www.beaconzone.co.uk\/blog\/wp-content\/uploads\/2022\/03\/ibeaconindoorpositioningsystem-300x195.png 300w\" sizes=\"(max-width: 709px) 85vw, (max-width: 909px) 67vw, (max-width: 984px) 61vw, (max-width: 1362px) 45vw, 600px\" \/><\/figure><\/div>\n\n\n\n<p>The system resulted in a maximum error positional error of only 1.02m.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>There&#8217;s new research from China on Regional Double-Layer, High-Precision Indoor Positioning System Based on iBeacon Network. The project used extended Gaussian filtering to delete and filter significant abnormal data values caused by multipath radio noise indoors. A deep neural network was also used to fingerprint data. The system resulted in a maximum error positional error &hellip; <a href=\"https:\/\/www.beaconzone.co.uk\/blog\/processing-ibeacon-rssi-ai-using-machine-learning\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Processing iBeacon RSSI Using AI Machine Learning&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[173,32],"tags":[],"_links":{"self":[{"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/posts\/7477"}],"collection":[{"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/comments?post=7477"}],"version-history":[{"count":2,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/posts\/7477\/revisions"}],"predecessor-version":[{"id":7480,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/posts\/7477\/revisions\/7480"}],"wp:attachment":[{"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/media?parent=7477"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/categories?post=7477"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/tags?post=7477"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}