{"id":2407,"date":"2022-08-29T16:46:02","date_gmt":"2022-08-29T14:46:02","guid":{"rendered":"https:\/\/www.acconeer.com\/?post_type=innovation_lab&#038;p=2407"},"modified":"2022-08-30T17:18:23","modified_gmt":"2022-08-30T15:18:23","slug":"radar-based-presence-detection-for-smart-homes","status":"publish","type":"innovation_lab","link":"https:\/\/acconeer.com\/sv\/innovation_lab\/radar-based-presence-detection-for-smart-homes\/","title":{"rendered":"Radar-based presence detection for smart homes"},"content":{"rendered":"\n<p>The software for the A111 radar sensor contains support for Smart Home implementations, which means that you can build a device that detects presence of persons in your home and triggers actions based on this. Perhaps you want to turn on the light automatically when you enter a room? Or get a notification when someone walks up on your driveway? At Acconeer we use it in our office to detect and display if a meeting room is occupied or empty. Follow the steps below to make your own implementation.<\/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-based presence detection for smart homes\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/Jh9ZiQ0msT0?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<h2 class=\"wp-block-heading\">HARDWARE SETUP<\/h2>\n\n\n\n<p>To implement this proof of concept, we used the following hardware:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\r\n \t<li>XM122 + XA122 + regular coin-cell battery. Find out more and how to buy them on the <a href=\"https:\/\/acconeer.com\/products\/\">product page<\/a>.<\/li>\r\n \t<li>Raspberry Pi version 3 or later with BLE support<\/li>\r\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">SOFTWARE<\/h2>\n\n\n\n<p>The software for this application is included in the XM122 SDK, and it is easy to get it up and running with a few simple steps.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">XM122<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\r\n \t<li>Download the XM122 SDK from <a href=\"https:\/\/developer.acconeer.com\/\">https:\/\/developer.acconeer.com\/<\/a><\/li>\r\n \t<li>Install the application called ble_monitor_presence on your XM122<\/li>\r\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">HOME ASSISTANT<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\r\n \t<li>Install Home Assistant on the Raspberry Pi as described <a href=\"https:\/\/www.home-assistant.io\/installation\/\">here<\/a><\/li>\r\n \t<li>In Home Assistant install the Passive BLE monitor integration as described <a href=\"https:\/\/custom-components.github.io\/ble_monitor\/Installation\">here<\/a><\/li>\r\n<\/ul>\n\n\n\n<p>Now the XM122 should be discovered as a motion sensor by Home Assistant.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">IMPLEMENTATION TIPS<\/h2>\n\n\n\n<p>Depending on the distance you want to detect people or moving objects you will need to change the settings in the ble_monitor_presence. What the settings should be depends a lot on the specific environment and use case, it is recommended to try this out using exploration tool. Once you know your settings you should update the c code for the app.<\/p>\n\n\n\n<p>Keep in mind that the battery life will vary depending on your measurement frequency, since more frequent measurements of course consume more power. In our example we use a 0,2m \u2013 3,2m default range and measure two times per second.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">TRY IT ON YOUR OWN AND GET IN TOUCH<\/h2>\n\n\n\n<p>To build your own version of the smart home presence setup, make sure you have all the <a href=\"https:\/\/acconeer.com\/products\/\">hardware<\/a> you need according to above. Combined with a PC running our Exploration Tool you can play around with this and many other use cases. To get started, head over to our <a href=\"https:\/\/developer.acconeer.com\/\">Developer site<\/a> where you find software downloads, getting started guides and more.<\/p>\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>The software for the A111 radar sensor contains support for Smart Home implementations. See how we use it for presence detection in a meeting room, and learn how to make your own implementation.<\/p>\n","protected":false},"featured_media":2442,"template":"","class_list":["post-2407","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>Radar-based presence detection for smart homes - Acconeer<\/title>\n<meta name=\"description\" content=\"The software for the A111 radar sensor contains support for Smart Home implementations. 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