{"id":2364,"date":"2026-09-24T10:43:00","date_gmt":"2026-09-24T09:43:00","guid":{"rendered":"https:\/\/dsdevices.com\/eu\/?page_id=2364"},"modified":"2026-09-24T11:44:11","modified_gmt":"2026-09-24T10:44:11","slug":"edge-ai","status":"publish","type":"page","link":"https:\/\/dsdevices.com\/eu\/edge-ai\/","title":{"rendered":"Edge AI"},"content":{"rendered":"\n<p><strong>Local Edge AI. Open Integration. Built for Real-World Deployment.<\/strong><\/p>\n\n\n\n<p><strong>DSDevices Edge AI Service<\/strong> is a forthcoming open-source platform designed to make computer vision simple to deploy on DSDevices hardware.<\/p>\n\n\n\n<p>Using a standard USB camera, supported DSDevices players can process visual data locally and make detection results available through a simple REST API for use by CMS platforms, integrators and third-party applications.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Local computer-vision processing<\/li>\n\n\n\n<li>Open REST API<\/li>\n\n\n\n<li>Open-source GitHub release<\/li>\n\n\n\n<li>Support for DSDA1 and DSDX5<\/li>\n\n\n\n<li>CPU-based inference on current hardware<\/li>\n\n\n\n<li>Future NPU-accelerated support<\/li>\n\n\n\n<li>Custom AI development and integration services<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>Simple Local Architecture<\/strong><\/p>\n\n\n\n<p>The first release is being developed for the <strong><a href=\"https:\/\/dsdevices.com\/eu\/product\/dsda1\/\">DSDA1<\/a><\/strong> and <strong><a href=\"https:\/\/dsdevices.com\/eu\/product\/dsdx5\">DSDX5<\/a><\/strong>, using CPU-based inference on the current generation of devices.<\/p>\n\n\n\n<p><strong>USB Camera \u2192 DSDA1 \/ DSDX5 \u2192 DSDevices Edge AI Service \u2192 REST API \u2192 CMS \/ Third-Party App<\/strong><\/p>\n\n\n\n<p>Processing takes place locally on the device, reducing reliance on cloud-based AI services and giving developers a straightforward way to integrate computer-vision data into their own applications.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/dsdevices.com\/wp-content\/uploads\/2026\/09\/Edge-AI-683x1024.png\" alt=\"\" class=\"wp-image-2337\"\/><\/figure>\n<\/div>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>Designed for Easy Integration<\/strong><\/p>\n\n\n\n<p>DSDevices Edge AI Service will expose a simple REST API designed for use by CMS providers, integrators and developers.<\/p>\n\n\n\n<p>Initial endpoints will include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><code><strong>\/api\/status<\/strong><\/code> \u2013 service and processing status<\/li>\n\n\n\n<li><code><strong>\/api\/detections<\/strong><\/code> \u2013 structured object-detection results<\/li>\n\n\n\n<li><code><strong>\/api\/snapshot<\/strong><\/code> \u2013 current camera snapshot<\/li>\n\n\n\n<li><code><strong>\/api\/csv<\/strong><\/code> \u2013 detection data in CSV format<\/li>\n<\/ul>\n\n\n\n<p>Third-party applications can consume this output without needing to manage the underlying AI inference engine.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>Open Source on GitHub<\/strong><\/p>\n\n\n\n<p>The project is planned for release on <strong>GitHub under the AGPL-3.0 licence<\/strong>, giving developers access to the source code and a practical reference implementation for building their own integrations.<\/p>\n\n\n\n<p>The initial release will use <strong>YOLO-based object detection<\/strong>, while the DSDevices REST API will provide the integration layer.<\/p>\n\n\n\n<p>This approach is intended to allow future AI models and processing methods to be introduced without changing how third-party applications connect.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>Built for CMS Providers, Integrators and Developers<\/strong><\/p>\n\n\n\n<p>DSDevices Edge AI Service is being developed to support a broad range of computer-vision applications.<\/p>\n\n\n\n<p>Potential use cases include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Object and people detection<\/li>\n\n\n\n<li>Occupancy and footfall monitoring<\/li>\n\n\n\n<li>Retail and display monitoring<\/li>\n\n\n\n<li>Event-based content triggering<\/li>\n\n\n\n<li>Operational monitoring<\/li>\n\n\n\n<li>Custom computer-vision workflows<\/li>\n<\/ul>\n\n\n\n<p>CMS providers can integrate detection data directly into their platforms, while integrators and developers can build their own applications around the same open API.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>Custom AI Development Services<\/strong><\/p>\n\n\n\n<p>Alongside the open-source platform, DSDevices will offer commercial development and integration services for customers requiring tailored solutions.<\/p>\n\n\n\n<p>These services may include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Custom model development and training<\/li>\n\n\n\n<li>Dataset preparation and annotation<\/li>\n\n\n\n<li>Model optimisation<\/li>\n\n\n\n<li>CPU and NPU deployment optimisation<\/li>\n\n\n\n<li>API and application integration<\/li>\n\n\n\n<li>Deployment engineering<\/li>\n\n\n\n<li>Ongoing model and technical support<\/li>\n<\/ul>\n\n\n\n<p>Customers will be able to start with the open platform and move to a customised AI solution where required.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>Existing Hardware. New Possibilities.<\/strong><\/p>\n\n\n\n<p>The first release of DSDevices Edge AI Service is being developed for the existing <strong>DSDA1<\/strong> and <strong>DSDX5<\/strong> platforms using CPU-based processing.<\/p>\n\n\n\n<p>Future DSDevices hardware will extend this capability with <strong>NPU acceleration<\/strong>, supporting higher-performance edge AI workloads and more demanding applications.<\/p>\n\n\n\n<p>This allows the Edge AI Service to develop alongside the DSDevices hardware platform while maintaining a consistent integration layer for third-party applications.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>Coming Soon<\/strong><\/p>\n\n\n\n<p>DSDevices Edge AI Service is currently in development.<\/p>\n\n\n\n<p>Further information, developer documentation and the GitHub repository will be published as the project moves towards release.<\/p>\n\n\n\n<p><strong>Interested in integrating Edge AI with your CMS or application?<\/strong><\/p>\n\n\n\n<p><a href=\"https:\/\/dsdevices.com\/eu\/contact\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Talk to Our Team<\/strong><\/a><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Local Edge AI. Open Integration. Built for Real-World Deployment. DSDevices Edge AI Service is a forthcoming open-source platform designed to make computer vision simple&#8230;<\/p>\n","protected":false},"author":524,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/fullwidth.php","meta":{"_monsterinsights_skip_tracking":false,"footnotes":""},"class_list":["post-2364","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/dsdevices.com\/eu\/wp-json\/wp\/v2\/pages\/2364","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dsdevices.com\/eu\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dsdevices.com\/eu\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dsdevices.com\/eu\/wp-json\/wp\/v2\/users\/524"}],"replies":[{"embeddable":true,"href":"https:\/\/dsdevices.com\/eu\/wp-json\/wp\/v2\/comments?post=2364"}],"version-history":[{"count":3,"href":"https:\/\/dsdevices.com\/eu\/wp-json\/wp\/v2\/pages\/2364\/revisions"}],"predecessor-version":[{"id":2369,"href":"https:\/\/dsdevices.com\/eu\/wp-json\/wp\/v2\/pages\/2364\/revisions\/2369"}],"wp:attachment":[{"href":"https:\/\/dsdevices.com\/eu\/wp-json\/wp\/v2\/media?parent=2364"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}