Avnet Launches QCS6490 Vision-AI Development Kit
05/16/2024
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The Kit enables high-performance edge AI development for custom embedded products

PHOENIX - The QCS6490 Vision-AI Development Kit from Avnet (Nasdaq: AVT) enables engineering teams to rapidly prototype hardware, application software and AI enablement for multi-camera, high-performance, Edge AI-enabled custom embedded products.

Engineered in a compact form-factor, the kit facilitates design with the recently announced energy efficientMSC SM2S-QCS6490 SMARC compute modulebased on theQualcomm® QCS6490 processor.

The QCS6490 processor uses energy-efficient 6nm process technology, with 8 high-performance (A78 and A55) processor cores, a high throughput Spectra-570L triple ISP image processor, Qualcomm® Adreno 633 VPU supporting 4K30/4K60 encode/decode, Adreno 643 GPU, 6th Gen Qualcomm® AI engine (12 TOPS) and a versatile range of peripheral interface options.

"In close collaboration withQualcomm Technologies, Inc.,Avnet created the Vision-AI Development Kit to help developers quickly evaluate our production-ready SMARC compute module based on the QCS6490 processor." said Jim Beneke, vice president of Advanced Applications Group, Avnet. "The development kit is ideal for prototyping advanced, multi-camera vision-based systems and its dedicated AI engine helps enable edge-based generative AI using emerging LLM models that have been optimized for Qualcomm® IoT processors."

"Qualcomm Technologies is pleased to collaborate with Avnet on the launch of the Vision AI development kit. This kit enables developers to harness the power of the Qualcomm QCS6490 processor, with impressive compute and AI capabilities, to build cutting-edge Edge AI solutions," said Sebastiano Di Filippo, Senior Director, Business Development, Qualcomm Europe, Inc. "We believe that this technology will unlock significant opportunities for the IoT industry, and we are excited to see what developers will create with this kit."

The Vision-AI Development Kit includes:

  • Support for up to four MIPI CSI cameras
  • Support for concurrent Mini DisplayPort and MIPI DSI displays
  • An audio subsystem with two onboard microphones, audio codec, digital and analog I/O
  • 1-Gbit Ethernet plus optional Wi-Fi 6E networking
  • Two USB3.1 and three USB2.0 interfaces
  • Two CAN interfaces
  • Pi HAT-compatible 40-pin expansion
  • Two M.2 expansion interfaces for storage, acceleration and wireless options

In addition, the supplied Yocto Linux BSP uses the new Qualcomm® Linux® software stack (with 6.6.x upstream LTS kernel) and QIM Product SDK to facilitate faster software development.

The development kit will be featured at the Avnet booth at the Embedded Vision Summit in Santa Clara, Calif. May 21-23, 2024. The kit can be pre-ordered with delivery in Q3 2024. For more information visit: http://avnet.me/qcs6490-vision-dk

About Avnet

As a leading global technology distributor and solutions provider, Avnet has served customers' evolving needs for more than a century. We support customers at each stage of a product's lifecycle, from idea to design and from prototype to production. Our unique position at the center of the technology value chain enables us to accelerate the design and supply stages of product development so customers can realize revenue faster. Decade after decade, Avnet helps its customers and suppliers around the world realize the transformative possibilities of technology. Learn more about Avnet at www.avnet.com.

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*Trademarks and brands are the property of their respective owners.

Qualcomm and Adreno are trademarks or registered trademarks of Qualcomm incorporated. Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Qualcomm patented technologies are licensed by Qualcomm Incorporated.

Avnet Media Contacts

Jeanne Forbis

Avnet

Jeanne.forbis@avnet.com

480-643-7499

Lauren Levinson

Brodeur Partners, for Avnet

llevinson@brodeur.com

202-899-4639

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Avnet Inc. published this content on 16 May 2024 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 16 May 2024 13:03:01 UTC.