{"id":25375,"date":"2023-04-18T00:21:40","date_gmt":"2023-04-18T00:21:40","guid":{"rendered":"https:\/\/saj.pachecostudios.com?p=25375"},"modified":"2023-04-18T00:22:18","modified_gmt":"2023-04-18T00:22:18","slug":"msp-airport-noise-classification-system-receives-u-s-patent","status":"publish","type":"post","link":"https:\/\/stateaviationjournal.com\/index.php\/news\/airports\/msp-airport-noise-classification-system-receives-u-s-patent\/%20","title":{"rendered":"MSP Airport Noise Classification System Receives U.S. Patent"},"content":{"rendered":"\n

The Metropolitan Airports Commission (MAC) has earned a U.S. patent for new sound imaging classification technology developed to support the Minneapolis-St. Paul International Airport (MSP) noise program<\/a>.<\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

Using machine learning, the Airport Noise Classification\nMethod and System identifies sounds captured via nearly 40 sound-monitoring\ndevices located around MSP and under common flight paths. The program\nclassifies which sound events are aircraft, filtering out other noises common\nin an urban environment such as motor vehicles, lawnmowers, fireworks or\nweather events.<\/p>\n\n\n\n

 \u201cMAC employees are\ncommitted to continuous improvement and innovation, and this project highlights\nour team\u2019s drive to advance decades-long efforts of working with community\nstakeholders, airport users, the Federal Aviation Administration (FAA) and\nother government entities to address noise issues,\u201d said Brian Ryks, CEO of the\nMAC, which owns and operates MSP. \u201cThis is the MAC\u2019s first-ever patent and uses\ntechnology that will continue to strengthen our data collection in\nneighborhoods around the airport.\u201d<\/p>\n\n\n\n

The MAC received U.S. Patent No 11,593,610 for the system\nearlier this year.<\/p>\n\n\n\n

The backbone<\/a> of the classification system is existing technology that converts an audio file of a sound event into a picture. For instance, the sound image of Boeing 737 will have a very different image compared to a neighborhood tornado siren. The system then relies on a convolutional neural network\u2014which is trained to conduct image recognition\u2014to learn from an archive of known aircraft sound images and classify future data as aircraft or non-aircraft events.<\/p>\n\n\n\n

\u201cThe technology helps solve a key question in the noise\nmonitoring arena: \u2018we have a sound, do we have an airplane?\u2019\u201d said Brad Juffer,\nthe assistant director of terminal operations for the MAC and a co-inventor of\nthe project. \u201cNo human or staff can efficiently decipher the thousands of\ninbound sound events that come through our system daily. With this\nclassification system, we gain more reliable data to better understand overall\ntrends impacting our airport neighbors.\u201d<\/p>\n\n\n\n

\u201cIt\u2019s exceptional for airport operators to develop new\ninventions, so the U.S. patent is quite an accomplishment,\u201d said Evan Wilson,\ndeputy general counsel for the MAC, who led the team through a four-year patent\nprocess. \u201cThe technology will continue to be an important asset for MSP\u2019s\ncommunity relations efforts as the MAC also determines how the application\ncould assist the broader airport industry.\u201d<\/p>\n\n\n\n

The MAC is currently in the process of registering the\npatent in Canada.<\/p>\n\n\n\n

The Airport Noise Classification Method and System patent\ncredits four inventors including the MAC\u2019s Brad Juffer and Matt Baker, a GIS\nsolution architect. They collaborated on the project with Derek Anderson, a\nformer acoustics and data analysis coordinator for the MAC, and consultant\nNicholas Heller, a University of Minnesota doctoral candidate in computer\nscience and engineering.<\/p>\n","protected":false},"excerpt":{"rendered":"

The Metropolitan Airports Commission (MAC) has earned a U.S. patent for new sound imaging classification technology developed to support the Minneapolis-St. Paul International Airport (MSP) noise program. Using machine learning, the Airport Noise Classification Method and System identifies sounds captured via nearly 40 sound-monitoring devices located around MSP and under common flight paths. The program […]<\/p>\n","protected":false},"author":3,"featured_media":25377,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[33,46],"tags":[],"class_list":["post-25375","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-airports","category-minnesota"],"jetpack_featured_media_url":"https:\/\/stateaviationjournal.com\/wp-content\/uploads\/MSP-Announcement-edit-2.jpg","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/stateaviationjournal.com\/index.php\/wp-json\/wp\/v2\/posts\/25375","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stateaviationjournal.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stateaviationjournal.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stateaviationjournal.com\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/stateaviationjournal.com\/index.php\/wp-json\/wp\/v2\/comments?post=25375"}],"version-history":[{"count":2,"href":"https:\/\/stateaviationjournal.com\/index.php\/wp-json\/wp\/v2\/posts\/25375\/revisions"}],"predecessor-version":[{"id":25380,"href":"https:\/\/stateaviationjournal.com\/index.php\/wp-json\/wp\/v2\/posts\/25375\/revisions\/25380"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/stateaviationjournal.com\/index.php\/wp-json\/wp\/v2\/media\/25377"}],"wp:attachment":[{"href":"https:\/\/stateaviationjournal.com\/index.php\/wp-json\/wp\/v2\/media?parent=25375"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stateaviationjournal.com\/index.php\/wp-json\/wp\/v2\/categories?post=25375"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stateaviationjournal.com\/index.php\/wp-json\/wp\/v2\/tags?post=25375"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}