{"id":23381,"date":"2024-05-20T09:04:34","date_gmt":"2024-05-20T16:04:34","guid":{"rendered":"https:\/\/embeddedvisionsummit.com\/2024\/?p=23381"},"modified":"2024-05-20T09:04:35","modified_gmt":"2024-05-20T16:04:35","slug":"avnet-unveils-the-qualcomm-powered-qcs6490-vision-ai-development-kit","status":"publish","type":"post","link":"https:\/\/embeddedvisionsummit.com\/2024\/2024\/05\/20\/avnet-unveils-the-qualcomm-powered-qcs6490-vision-ai-development-kit\/","title":{"rendered":"Avnet Unveils the Qualcomm-Powered QCS6490 Vision-AI Development Kit"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\" id=\"h-powerful-yet-energy-efficient-kit-bundles-a-smarc-2-1-1-compliant-som-plus-compact-carrier-board-for-demanding-edge-ai-tasks\">Powerful yet energy-efficient kit bundles a SMARC 2.1.1-compliant SOM plus compact carrier board for demanding edge AI tasks.<\/h2>\n\n\n\n<p><a href=\"https:\/\/www.hackster.io\/ghalfacree\"><\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"899\" height=\"506\" src=\"https:\/\/embeddedvisionsummit.com\/2024\/wp-content\/uploads\/sites\/14\/2024\/05\/image.jpeg\" alt=\"\" class=\"wp-image-23383\" \/><\/figure>\n\n\n\n<p>Avnet has announced a new development kit at the Embedded Vision Summit 2024, built around a SMARC-standard system-on-module (SOM) featuring the Qualcomm QCS6490 SoC: the Avnet QCS6490 Vision-AI Development Kit.<\/p>\n\n\n\n<p>Designed, as the name suggests, for projects involving energy-efficient yet high-performance on-device computer vision and artificial intelligence (AI), the Qualcomm QCS6490 at the heart of the board boasts four high-performance Arm Cortex-A78 cores running at up to 2.7GHz alongside four lower-power Cortex-A55 cores running at up to 1.9GHz. There&#8217;s an Adreno 643 graphics processor running at up to 812MHz, along with a Qualcomm AI Engine neural processing unit (NPU).<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/hackster.imgix.net\/uploads\/attachments\/1713486\/image_vnAbA9gPKN.png?auto=compress%2Cformat&amp;w=740&amp;h=555&amp;fit=max\" alt=\"Avnet is looking to power your next edge AI computer vision project with its new QCS6490 Vision-AI Development Kit. (&#x1f4f7;: Avnet)\" \/><\/figure>\n\n\n\n<p>Avnet is looking to power your next edge AI computer vision project with its new QCS6490 Vision-AI Development Kit. (&#x1f4f7;: Avnet)<\/p>\n\n\n\n<p>It&#8217;s this latter component that delivers on the development kit&#8217;s promise of energy-efficient on-device AI: based on Qualcomm&#8217;s sixth-generation NPU architecture, it delivers 13 tera-operations per second (TOPS) of compute on top of that available from the CPU and GPU. For further acceleration in computer vision tasks there&#8217;s an Adreno 633 vision processor capable of encoding and decoding video at up 4k30 and 4k60 respectively and a Spectra 570L image signal processor (ISP) capable of running up to five cameras at once.<\/p>\n\n\n\n<p>To this, Avnet has added 8GB of high-speed LPDDR5 memory and 64GB of UFS flash storage on a system-on-module adhering to the SMARC 2.1.1 standard \u2014 designed to slot into a bundled carrier board that breaks out two USB 3.1, two USB 2.0, and one USB Type-C On-The-Go (OTG) ports, a gigabit Ethernet port, mini-DisplayPort and MIPI Display Serial Interface (DSI) video outputs, one four-lane and one two-lane MIPI Camera Serial Interface (CSI) inputs alongside two four-lane connectors on the module itself, a four-pin CAN bus header, 40-pin general-purpose input\/output (GPIO) header adhering to the Raspberry Pi pinout, and two user-definable buttons and an RGB LED.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/hackster.imgix.net\/uploads\/attachments\/1714648\/qualcomm_avnet_schematic_W7LWdzaKVD.png?auto=compress%2Cformat&amp;w=740&amp;h=555&amp;fit=max\" alt=\"\" \/><\/figure>\n\n\n\n<p>For additional storage, the carrier board includes an M.2 M-key slot for Non-Volatile Memory Express (NVMe) boards, while a second M.2 E-key slot allows for the addition of an optional IEEE 802.11ax Wi-Fi 6E and Bluetooth 5.4 radio module. Finally, there&#8217;s an audio subsystem with two onboard PDM microphones, and an audio codec, plus analog and digital audio connectors. A second gigabit Ethernet port is present on the SMARC SOM, too, but not exposed on the bundled carrier board.<\/p>\n\n\n\n<p>The QCS6490 SMARC and its carrier board are made available as a development kit, which includes a USB type-C Power Delivery (PD) power supply and 12 MP Sony IMX577-based CSI camera module. Optional accessories include additional cameras, Wi-Fi \/ Bluetooth M.2 modules, NVMe SSDs, and a seven-inch DSI touchscreen display. For software, the kit will ship with a Yocto Linux board support package (BSP) and pre-written AI and multi-camera demos; support for Windows 11 IoT Enterprise has been promised for the second half of the year.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/hackster.imgix.net\/uploads\/attachments\/1713487\/image_1GGLK7I0l5.png?auto=compress%2Cformat&amp;w=740&amp;h=555&amp;fit=max\" alt=\"The carrier includes two M.2 slots, one M-key for NVMe storage and one E-key for optional Wi-Fi and Bluetooth connectivity. (&#x1f4f7;: Avnet)\" \/><\/figure>\n\n\n\n<p>The carrier includes two M.2 slots, one M-key for NVMe storage and one E-key for optional Wi-Fi and Bluetooth connectivity. (&#x1f4f7;: Avnet)<\/p>\n\n\n\n<p>The new development kit is being demonstrated at the Avnet booth (#404) during the Embedded Vision Summit, alongside&nbsp;<a href=\"https:\/\/www.avnet.com\/wps\/portal\/us\/products\/c\/embedded-vision-summit\/\">other live demos<\/a>&nbsp;including an AI-powered smart parking lot monitor system built with Avnet&#8217;s RZBoard V2L, edge AI sensor fusion with custom machine learning models from MACSO and Avnet&#8217;s IoTConnect platform, and a preview of an upcoming development kit based around the AMD Versal Edge AI system-on-chip.<\/p>\n\n\n\n<p>More information on the new QCS6490 Vision-AI Development Kit is available\u00a0<a href=\"http:\/\/avnet.me\/qcs6490-vision-dk\">on the Avnet website<\/a>; pricing had yet to be announced at the time of writing.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Powerful yet energy-efficient kit bundles a SMARC 2.1.1-compliant SOM plus compact carrier board for demanding edge AI tasks. Avnet has announced a new development kit at the Embedded Vision Summit 2024, built around a SMARC-standard system-on-module (SOM) featuring the Qualcomm [&hellip;]<\/p>\n","protected":false},"author":13,"featured_media":23383,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[1163],"tags":[],"class_list":["post-23381","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-2024-press-release"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Avnet Unveils the Qualcomm-Powered QCS6490 Vision-AI Development Kit - 2024 Summit<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/embeddedvisionsummit.com\/2024\/2024\/05\/20\/avnet-unveils-the-qualcomm-powered-qcs6490-vision-ai-development-kit\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Avnet Unveils the Qualcomm-Powered QCS6490 Vision-AI Development Kit - 2024 Summit\" \/>\n<meta property=\"og:description\" content=\"Powerful yet energy-efficient kit bundles a SMARC 2.1.1-compliant SOM plus compact carrier board for demanding edge AI tasks. 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