{"id":674034,"date":"2024-11-28T06:00:21","date_gmt":"2024-11-28T11:00:21","guid":{"rendered":"https:\/\/www.capgemini.com\/ca-en\/?p=674034&#038;preview=true&#038;preview_id=674034"},"modified":"2025-04-03T08:33:05","modified_gmt":"2025-04-03T12:33:05","slug":"edge-ai-that-packs-a-punch","status":"publish","type":"post","link":"https:\/\/www.capgemini.com\/ca-en\/insights\/expert-perspectives\/edge-ai-that-packs-a-punch\/","title":{"rendered":"Edge AI that packs a punch"},"content":{"rendered":"\n<header class=\"wp-block-cg-blocks-hero-blogs header-hero-blogs\"><div class=\"container\"><div class=\"hero-blogs\"><div class=\"hero-blogs-content-wrapper\"><div class=\"row\"><div class=\"col-12\"><div class=\"header-title\"><h1>Edge AI that packs a punch<\/h1><\/div><\/div><\/div><\/div><div class=\"hero-blogs-bottom\"><div class=\"header-author\"><div class=\"author-img\"><img decoding=\"async\" src=\"https:\/\/www.capgemini.com\/ca-en\/wp-content\/uploads\/sites\/17\/2024\/11\/David-Hughes.jpg?w=200&amp;quality=10\" alt=\"\" loading=\"lazy\"\/><\/div><div class=\"author-name-date\"><h5 class=\"author-name\">David Hughes<\/h5><h5 class=\"blog-date\">4 Jan 2024<\/h5><\/div><\/div><div class=\"brand-image\"><img decoding=\"async\" loading=\"lazy\" src=\"\/wp-content\/themes\/capgemini2020\/assets\/images\/capgemini-engineering-white.svg\" alt=\"capgemini-engineering\"\/><\/div><\/div><\/div><\/div><\/header>\n\n\n\n<section class=\"wp-block-cg-blocks-intro-para undefined section section--intro\"><div class=\"intro-para\"><div class=\"container\"><div class=\"row\"><div class=\"col-12 col-md-1\"><nav class=\"article-social\"><ul class=\"social-nav\"><li class=\"ip-order-fb\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https:\/\/www.capgemini.com\/ca-en\/insights\/expert-perspectives\/edge-ai-that-packs-a-punch\/\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-fb\"><\/i><span class=\"sr-only\">Facebook<\/span><\/a><\/li><li class=\"ip-order-li\"><a href=\"https:\/\/www.linkedin.com\/sharing\/share-offsite\/?url=https:\/\/www.capgemini.com\/ca-en\/insights\/expert-perspectives\/edge-ai-that-packs-a-punch\/\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><span class=\"sr-only\">Linkedin<\/span><\/a><\/li><\/ul><\/nav><\/div><div class=\"col-12 col-md-11 col-lg-10\"><h2 class=\"intro-para-title\">How we used boxing techniques to demo a promising new deep learning technology<\/h2><\/div><\/div><\/div><\/div><\/section>\n\n\n\n<section class=\"wp-block-cg-blocks-group undefined section section--article-content\"><div class=\"article-main-content\"><div class=\"container\"><div class=\"row\"><div class=\"col-12 col-md-11 col-lg-10 offset-md-1 offset-lg-1\"><div class=\"article-text article-quote-text\">\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column has-pale-cyan-blue-background-color has-background is-layout-flow wp-block-column-is-layout-flow\">\n<p>\u201cI fight for perfection&#8221;<\/p>\n\n\n\n<p class=\"is-style-cg-core-paragraph\">&#8211; Mike Tyson<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column has-pale-cyan-blue-background-color has-background is-layout-flow wp-block-column-is-layout-flow\">\n<p><em>&#8220;Do you achieve it?&#8221;<\/em><\/p>\n\n\n\n<p class=\"is-style-cg-core-paragraph\">&#8211; Charlie Rose<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column has-pale-cyan-blue-background-color has-background is-layout-flow wp-block-column-is-layout-flow\">\n<p><em>&#8220;Nah! No one does, but we aim for it\u2026\u201d<\/em> <\/p>\n\n\n\n<p class=\"is-style-cg-core-paragraph\">&#8211; Mike Tyson<\/p>\n<\/div>\n<\/div>\n<\/blockquote>\n\n\n\n<p>Put simply, deep learning is a type of machine learning that aims to mimic the way the human brain works to recognize patterns and make decisions. Deep learning on mobile and edge devices, like smart wearables with limited computational resources, can be challenging. However, running machine learning models on edge devices and keeping the data local has advantages for data privacy, sustainability and latency.<\/p>\n\n\n\n<p>With one of our staff a keen boxer, we took on the challenge of working out what types of punches were being thrown with the constraints of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A need for real-time feedback<\/li>\n\n\n\n<li>Minimal hardware<\/li>\n\n\n\n<li>Low powered devices<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-how-does-it-work\">How does it work?<\/h2>\n\n\n\n<p>Capgemini developed an end-to-end demonstrator, where data was collected using a custom iPhone and Apple Watch application, allowing sensor readings to be automatically labeled. A hybrid deep learning model was built to accurately classify each punch type. The model was converted to an optimal form to run efficiently on low powered edge devices.<\/p>\n\n\n\n<p>The demo streams raw sensor data from the watch to display on a screen, along with the punch classifications, as close to real time as the network connectivity allows. In this case, we&#8217;re using a single Apple Watch on the left wrist to generate sensor data (specifically accelerometer, gyroscope and orientation data). This data is sent to an AI model that determines which types of punches are being thrown by either hand.<\/p>\n\n\n\n<p>When we demonstrate this to the attendees at various events, the reaction is often &#8220;Wait &#8211; how is that even possible?!&#8221;. Indeed, how <em>do<\/em> you know what the right hand is doing with a watch strapped to the left wrist? While it\u2019s certainly easier to track the lefts, boxing is a whole-body sport \u2013 there are small but characteristic movements that happen in response to throwing a punch. These movements are what the ML model detects, and uses to classify the type of punch.<\/p>\n\n\n\n<p>In a world where seemingly everything is smart and sensors are everywhere, this may seem like an artificial constraint, but often you can\u2019t put sensors right where you want them &#8211; for example, due a harsh industrial environment or because they would be too cumbersome or intrusive for the wearer.<\/p>\n\n\n\n<p>To run on low powered edge devices and give near real time results, the machine learning model had to be as lightweight and efficient as possible. Through a careful selection of model architecture and the type of optimization techniques discussed in <a href=\"https:\/\/www.capgemini.com\/insights\/expert-perspectives\/edging-out-the-cloud\/\" target=\"_blank\" rel=\"noreferrer noopener\">this blog post on model optimization<\/a>, we produced an AI model that could interface in real time on a low end smartphone.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-applications\">Applications<\/h2>\n\n\n\n<p>Our technology has potential applications across many domains. For example, you could extend this application to give feedback to a novice boxer and help them avoid common mistakes &#8211; the minimal hardware would make this a very portable solution. For patient monitoring, perhaps when managing chronic illness, ensuring privacy is crucial and minimizing the number of sensors could help ensure compliance and guarantee that solutions are minimally invasive and cost effective.<\/p>\n\n\n\n<p>In industrial settings, being able to classify in real time close to where data is being generated allows for rapid intervention. It can also help to reduce the cost and associated carbon emissions from the transfer of large volumes of data.<\/p>\n\n\n\n<p>In disconnected applications, like drone operation in remote locations, this approach can be used to improve autonomy, for example allowing these drones to locate a safe place to land in an emergency, through on-board real-time video analysis.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-conclusion\">Conclusion<\/h2>\n\n\n\n<p>Capgemini is exploring the applications of this technology in sports equipment, but we believe that this is just the beginning; this technology certainly isn\u2019t limited to the complex movements of the \u2018sweet science\u2019. Whether based on incoming sensor, video or other data, being able to analyze inputs in real time on low powered devices has a crucial part to play in unleashing the potential of intelligent products and services.<\/p>\n\n\n\n<p>Want to see in action? <a href=\"https:\/\/www.linkedin.com\/feed\/update\/urn:li:activity:7087401914274836480\/\" target=\"_blank\" rel=\"noreferrer noopener\">Watch our boxing demo video<\/a><\/p>\n\n\n\n<p>Interested in finding out more? Take a look at our <a href=\"https:\/\/www.capgemini.com\/services\/intelligent-industry\/intelligent-products-services\/\" target=\"_blank\" rel=\"noreferrer noopener\">Intelligent Products and Services offer<\/a> and <a href=\"https:\/\/www.linkedin.com\/in\/david-hughes-aab618282\/\" target=\"_blank\" rel=\"noreferrer noopener\">follow David on LinkedIn<\/a>.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/section>\n\n\n\n<section class=\"wp-block-cg-blocks-wrapper-people-slider section section--expert-slider wrapper-people-slider undefined\"><div class=\"container\"><div class=\"content-title\"><h3 data-maxlength=\"34\">Author<\/h3><\/div><\/div><div class=\"slider slider-boxed\"><div class=\"container\"><div class=\"slider-window\"><div class=\"slider-list\">\n\t\t<div class=\"slide\">\n\t\t\t<div class=\"box\">\n\t\t\t\t<div class=\"row\">\n\t\t\t\t\t<div class=\"col-md-6 col-lg-4 box-img-wrapper\">\n\t\t\t\t\t\t<img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.capgemini.com\/ca-en\/wp-content\/uploads\/sites\/17\/2024\/11\/David-Hughes.jpg\" alt=\"David Hughes\"\/>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"col-md-6 col-lg-8 box-inner\">\n\t\t\t\t\t\t<div class=\"row title-social-media-header\">\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 mbl-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t\t<a class=\"subnav-button--form\" href=\"javascript:void(0)\" aria-label=\"contact us\" data-bs-toggle=\"modal\" data-bs-target=\"#WPB5d60ad1b_da2d_42c7_9472_53661dd0adb5\" data-bs-expert-title=\"1\">\n\t\t\t\t\t\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"ico-form\"><\/i>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" title=\"Opens in a new window\" href=\"https:\/\/www.linkedin.com\/in\/david-hughes-aab618282\/\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 box-container\">\n\t\t\t\t\t\t\t\t<div class=\"box-title\">\n\t\t\t\t\t\t\t\t\t<h3 class=\"people-profile-title\">David Hughes<\/h3>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span>Head of Technical Presales, Capgemini Engineering Hybrid Intelligence<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 social-box-container dkt-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t\t<a class=\"subnav-button--form\" href=\"javascript:void(0)\" aria-label=\"contact us\" data-bs-toggle=\"modal\" data-bs-target=\"#WPB5d60ad1b_da2d_42c7_9472_53661dd0adb5\" data-bs-expert-title=\"David Hughes\">\n\t\t\t\t\t\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"ico-form\"><\/i>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" title=\"Opens in a new window\" href=\"https:\/\/www.linkedin.com\/in\/david-hughes-aab618282\/\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"people-info\">David has been working to help R&#038;D organizations appropriately adopt emerging approaches to data and AI since 2004. 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