{"id":393,"date":"2017-09-29T13:53:03","date_gmt":"2017-09-29T05:53:03","guid":{"rendered":"https:\/\/www.cognav.net\/?p=393"},"modified":"2017-09-29T13:53:38","modified_gmt":"2017-09-29T05:53:38","slug":"dynamic-vision-sensor-dvs","status":"publish","type":"post","link":"https:\/\/braininspirednavigation.com\/?p=393","title":{"rendered":"Dynamic Vision Sensor (DVS)"},"content":{"rendered":"<p>\n\tFrom&nbsp;<a href=\"https:\/\/inilabs.com\/products\/dynamic-vision-sensors\/\">inilabs.com<\/a>\n<\/p>\n<h2>\n\tDVS Overview<br \/>\n<\/h2>\n<p style=\"text-align: justify;\">\n\t<img loading=\"lazy\" decoding=\"async\" alt=\"Dvs128AndEdvsWithCreditCard\" height=\"171\" sizes=\"(max-width: 300px) 100vw, 300px\" src=\"https:\/\/inilabs.com\/wp-content\/uploads\/2015\/08\/dvs128andedvswithcreditcard-300x171.jpg\" srcset=\"https:\/\/inilabs.com\/wp-content\/uploads\/2015\/08\/dvs128andedvswithcreditcard-300x171.jpg 300w, https:\/\/inilabs.com\/wp-content\/uploads\/2015\/08\/dvs128andedvswithcreditcard-1024x582.jpg 1024w, https:\/\/inilabs.com\/wp-content\/uploads\/2015\/08\/dvs128andedvswithcreditcard-220x126.jpg 220w, https:\/\/inilabs.com\/wp-content\/uploads\/2015\/08\/dvs128andedvswithcreditcard-460x260.jpg 460w, https:\/\/inilabs.com\/wp-content\/uploads\/2015\/08\/dvs128andedvswithcreditcard.jpg 1200w\" width=\"300\" \/>Conventional vision sensors see the world as a series of frames. Successive frames contain enormous amounts of redundant information, wasting memory access, RAM, disk space, energy, computational power and time. In addition, each frame imposes the same exposure time on every pixel, making it difficult to deal with scenes containing very dark and very bright regions.\n<\/p>\n<p style=\"text-align: justify;\">\n\tThe Dynamic Vision Sensor (DVS) solves these problems by using patented technology that works like your own retina. Instead of wastefully sending entire images at fixed frame rates, only the local pixel-level changes caused by movement in a scene are transmitted &ndash;&nbsp;<em>at the time they occur<\/em>. The result is a stream of events at microsecond time resolution, equivalent to or better than conventional high-speed vision sensors running at thousands of frames per second. Power, data storage and computational requirements are also drastically reduced, and sensor dynamic range is increased by orders of magnitude due to the local processing.\n<\/p>\n<p style=\"text-align: justify;\">\n\t<a href=\"https:\/\/www.youtube.com\/watch?v=LauQ6LWTkxM&amp;feature=youtu.be\">Video:&nbsp;Event-based, 6-DOF Pose Tracking for High-Speed Maneuvers using a Dynamic Vision Sensor<\/a>\n<\/p>\n<h2 id=\"application\" style=\"text-align: justify;\">\n\tApplication Areas<br \/>\n<\/h2>\n<ul>\n<li style=\"text-align: justify;\">\n\t\tSurveillance and ambient sensing\n\t<\/li>\n<li style=\"text-align: justify;\">\n\t\tFast Robotics: mobile (e.g.&nbsp;<a href=\"https:\/\/www.youtube.com\/watch?v=LauQ6LWTkxM\" rel=\"noopener\" target=\"_blank\">Quadcopter<\/a>, video from University of Zurich Robotics and Perception group), fixed (e.g.&nbsp;<a href=\"http:\/\/siliconretina.ini.uzh.ch\/wiki\/doku.php?id=robogoalie\" rel=\"noopener\" target=\"_blank\" title=\"robogoalie\">RoboGoalie<\/a>, video from University of Zurich INI Sensors group)\n\t<\/li>\n<li style=\"text-align: justify;\">\n\t\tFactory automation\n\t<\/li>\n<li style=\"text-align: justify;\">\n\t\tMicroscopy\n\t<\/li>\n<li style=\"text-align: justify;\">\n\t\tMotion analysis, e.g. human or animal motion\n\t<\/li>\n<li style=\"text-align: justify;\">\n\t\tHydrodynamics\n\t<\/li>\n<li style=\"text-align: justify;\">\n\t\tSleep research and chronobiology\n\t<\/li>\n<li style=\"text-align: justify;\">\n\t\tFluorescent imaging\n\t<\/li>\n<li style=\"text-align: justify;\">\n\t\tParticle Tracking\n\t<\/li>\n<\/ul>\n<p style=\"text-align: justify;\">\n\t&nbsp;\n<\/p>\n<p style=\"text-align: justify;\">\n\tMore info on<a href=\"https:\/\/inilabs.com\/products\/dynamic-vision-sensors\/\"> the iniLabs website<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>From&nbsp;inilabs.com DVS Overview Conventional vision sensors see the world as a series of frames. Successive frames contain enormous amounts of redundant information, wasting memory access, RAM, disk space, energy, computational power and time. In addition, each frame imposes the same exposure time on every pixel, making it difficult to deal with scenes containing very dark [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[126,96],"tags":[140,141,142,85,143],"_links":{"self":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/393"}],"collection":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=393"}],"version-history":[{"count":2,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/393\/revisions"}],"predecessor-version":[{"id":395,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/393\/revisions\/395"}],"wp:attachment":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=393"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=393"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=393"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}