{"id":7593,"date":"2023-12-19T11:24:36","date_gmt":"2023-12-19T09:24:36","guid":{"rendered":"https:\/\/www.acconeer.com\/?post_type=innovation_lab&#038;p=7593"},"modified":"2024-06-06T12:48:21","modified_gmt":"2024-06-06T10:48:21","slug":"hand-detection","status":"publish","type":"innovation_lab","link":"https:\/\/acconeer.com\/sv\/innovation_lab\/hand-detection\/","title":{"rendered":"Hand motion detection"},"content":{"rendered":"\n<p>In this Innovation Lab post, you will learn how to implement a hand motion detection algorithm \u2014 applied in a faucet application \u2014 using the A121 Pulsed Coherent Radar sensor. The system provides a low power solution with continuous hand motion monitoring, enabling improved hygiene though a touchless interface and reduced water consumption. Thanks to the high accuracy, the sensor reliably detects the presence of hands even when the water is running or if the sensor is covered in dirt or soap. The benefits of using the A121 sensor are low power consumption, high precision, small size, and high robustness.<\/p>\n\n\n\n<p>More information about the algorithm can be found on<a href=\"https:\/\/docs.acconeer.com\/en\/latest\/exploration_tool\/algo\/a121\/examples\/hand_motion_detection.html\" target=\"_blank\" rel=\"noopener\"> the Acconeer document site<\/a>.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Radar-controlled Automatic Faucet\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/rA-7VKGEZmE?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>This faucet application can be implemented using the Exploration Tool and the application written in C.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">FOR THE EXPLORATION TOOL<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">HARDWARE<\/h3>\n\n\n\n<p>One XE121 Evaluation Board and one XC120 Connector Board are necessary for this implementation.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\r\n \t<li>XE121 Evaluation Board can be purchased from <a href=\"https:\/\/www.digikey.com\/en\/products\/detail\/acconeer-ab\/XE121\/16582348\" target=\"_blank\" rel=\"noopener\">DigiKey<\/a><\/li>\r\n \t<li>XC120 Connector Board can be purchased from <a href=\"https:\/\/www.digikey.com\/en\/products\/detail\/acconeer-ab\/XC120\/16582340\" target=\"_blank\" rel=\"noopener\">DigiKey<\/a><\/li>\r\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">SOFTWARE<\/h3>\n\n\n\n<p>To get started with the Evaluation kit and the Exploration tool, go to <a href=\"https:\/\/docs.acconeer.com\/en\/latest\/exploration_tool\/installation_and_setup.html\" target=\"_blank\" rel=\"noopener\">the Acconeer documentation<\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">EXPLORATION TOOL<\/h3>\n\n\n\n<p>In Exploration Tool, click \u201cHand motion detection\u201d on the left-side menu, and then click \u201cStart measurement\u201d on the right-side menu to start.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1920\" height=\"1018\" src=\"https:\/\/acconeer.com\/wp-content\/uploads\/2023\/12\/2312132.png\" alt=\"\" class=\"wp-image-7599\" srcset=\"\/wp-content\/uploads\/2023\/12\/2312132.png 1920w, \/wp-content\/uploads\/2023\/12\/2312132-512x271.png 512w, \/wp-content\/uploads\/2023\/12\/2312132-1024x543.png 1024w, \/wp-content\/uploads\/2023\/12\/2312132-768x407.png 768w, \/wp-content\/uploads\/2023\/12\/2312132-1536x814.png 1536w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">FOR THE APPLICATION IN C<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">HARDWARE<\/h3>\n\n\n\n<p><a href=\"https:\/\/www.digikey.com\/en\/products\/detail\/acconeer-ab\/XM125\/17883267\" target=\"_blank\" rel=\"noopener\">The Entry+ Module XM125<\/a> and <a href=\"https:\/\/www.digikey.com\/en\/products\/detail\/acconeer-ab\/XM126\/21735750\" target=\"_blank\" rel=\"noopener\">the XM126 IoT Module<\/a> can be purchased from DigiKey.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">SOFTWARE<\/h3>\n\n\n\n<p>The applications written in C can be downloaded on the Developer site.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\r\n \t<li><a href=\"https:\/\/developer.acconeer.com\/home\/a121-docs-software\/xm125-xe125\/\" target=\"_blank\" rel=\"noopener\">XM125<\/a><\/li>\r\n \t<li><a href=\"https:\/\/developer.acconeer.com\/home\/a121-docs-software\/xm126\/\" target=\"_blank\" rel=\"noopener\">XM126<\/a><\/li>\r\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">TRY IT ON YOUR OWN AND GET IN TOUCH<\/h3>\n\n\n\n<p>If you try this, or work on something else, we\u2019d love to hear about your project! Please get in touch with us on <a href=\"mailto:innovation@acconeer.com\">innovation@acconeer.com<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this Innovation Lab post, you will learn how to implement a hand detection algorithm \u2014 applied in a faucet application \u2014 using the A121 Pulsed Coherent Radar sensor.<\/p>\n","protected":false},"featured_media":7631,"template":"","class_list":["post-7593","innovation_lab","type-innovation_lab","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Hand motion detection - Acconeer<\/title>\n<meta name=\"description\" content=\"In this Innovation Lab post, a hand detection algorithm is applied in a faucet application.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/acconeer.com\/sv\/innovation_lab\/hand-detection\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Hand motion detection - 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