{"id":450,"date":"2017-12-19T04:54:41","date_gmt":"2017-12-19T04:54:41","guid":{"rendered":"http:\/\/bskog.com\/ai\/?p=450"},"modified":"2017-12-19T04:57:29","modified_gmt":"2017-12-19T04:57:29","slug":"image-recognition-ai-raspberry-pi-3-using-mobilenets-neural-compute-stick","status":"publish","type":"post","link":"http:\/\/bskog.com\/ai\/2017\/12\/19\/image-recognition-ai-raspberry-pi-3-using-mobilenets-neural-compute-stick\/","title":{"rendered":"Image recognition and AI on a Raspberry Pi 3 using MobileNets and Neural Compute Stick"},"content":{"rendered":"<p>If you are building a robot\u00a0driven by Raspberry Pi and want to use image recognition and object detection you may want to look into <a href=\"https:\/\/research.googleblog.com\/2017\/06\/mobilenets-open-source-models-for.html\">Googles\u00a0Mobile Nets platform<\/a>\u00a0which lets you do use\u00a0a several\u00a0<i>mobile-first<\/i>\u00a0computer vision models for\u00a0<a href=\"https:\/\/www.tensorflow.org\/\">TensorFlow<\/a>, combined with an\u00a0<a href=\"https:\/\/software.intel.com\/en-us\/articles\/mobilenets-on-intel-movidius-neural-compute-stick-and-raspberry-pi-3\">Intel Movidius Neural Compute Stick<\/a> on a Rasrberry PI 3.\u00a0 The MobileNets platform is designed to be run on resource conservative devices while maintaining accuracy and the latter will give you an order of magnitude more compute power than running the detection on the raspberrys\u00a0CPU.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>If you are building a robot\u00a0driven by Raspberry Pi and want to use image recognition and object detection you may want to look into Googles\u00a0Mobile Nets platform\u00a0which lets you do use\u00a0a several\u00a0mobile-first\u00a0computer vision models for\u00a0TensorFlow, combined with an\u00a0Intel Movidius Neural Compute Stick on a Rasrberry PI 3.\u00a0 The MobileNets platform is designed to be run &hellip; <\/p>\n<p class=\"link-more\"><a href=\"http:\/\/bskog.com\/ai\/2017\/12\/19\/image-recognition-ai-raspberry-pi-3-using-mobilenets-neural-compute-stick\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Image recognition and AI on a Raspberry Pi 3 using MobileNets and Neural Compute Stick&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4,8,44,35],"tags":[],"class_list":["post-450","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","category-computer-vision","category-robotics","category-tensorflow"],"_links":{"self":[{"href":"http:\/\/bskog.com\/ai\/wp-json\/wp\/v2\/posts\/450","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/bskog.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/bskog.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/bskog.com\/ai\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/bskog.com\/ai\/wp-json\/wp\/v2\/comments?post=450"}],"version-history":[{"count":2,"href":"http:\/\/bskog.com\/ai\/wp-json\/wp\/v2\/posts\/450\/revisions"}],"predecessor-version":[{"id":452,"href":"http:\/\/bskog.com\/ai\/wp-json\/wp\/v2\/posts\/450\/revisions\/452"}],"wp:attachment":[{"href":"http:\/\/bskog.com\/ai\/wp-json\/wp\/v2\/media?parent=450"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/bskog.com\/ai\/wp-json\/wp\/v2\/categories?post=450"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/bskog.com\/ai\/wp-json\/wp\/v2\/tags?post=450"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}