Avnet AI Vision Development Kit features Qualcomm QCS6490 SoC, dual camera, GbE, and USB-C PD

Just last month at Embedded World 2024, Qualcomm announced its RB3 Gen 2 Platform based on the QCS6490 processor with Cortex-A78 and A55 processing cores and 12 TOPS of AI power. Building on this, Avnet has recently launched the Avnet AI Vision Development Kit, also based on the QCS6490 SoC. The kit includes a dual camera setup, Gigabit Ethernet connectivity, USB-C Power Delivery, and a host of other features for applications like inventory and asset monitoring, drone/UAV/other mobile vision-AI edge compute applications, and multi-camera security systems with recognition.

Previously we have written about similar AI dev kits including Allwinner V853 100ASK-V853-Pro, Sipeed Maix-III devkit, RZBoard V2L, and many other AI vision development boards feel free to check those out if you are interested in the topic.

QCS6490 Vision AI Development Kit

Avnet AI Vision Development Kit specifications

  • SM2S-QCS6490 SMARC Compute Module:
    • CPU – 4x Arm Cortex-A78 (up to 2.7 GHz), 4x Arm Cortex-A55 (up to 1.9 GHz)
    • GPU – Adreno 643 (up to 812 MHz)
    • DSP/NPU – 6th gen Qualcomm AI Engine (13 TOPS)
    • ISP – Spectra 570L (supports up to 5 concurrent cameras)
    • VPU – Adreno 633, video encoding/decoding up to 4K30 / 4K60
    • Memory – 8GB LPDDR5 SDRAM, 64GB UFS Flash Memory
    • USB – 2x USB 3.1 (2L), 3x USB 2.0 interfaces
    • PCIe – 2x PCIe Gen3 (1L), 1x PCIe Gen3 (2L) interface
    • Display – 1x DisplayPort 1.4 (2L) interface, 1x MIPI-DSI (4L), 1x eDP (4L)
    • Camera – 2x MIPI-CSI (4L) 22-pin connectors, 2x MIPI-CSI (4L, 2L) via SMARC edge connector
    • Networking – 2x 1 Gigabit Ethernet interfaces
    • Wireless – Wi-Fi 6 / BT 5 (SMARC module assembly option)
    • Security – TPM module (SMARC module assembly option), HW Key manager, ECC, Secure boot, Crypto
    • Interfaces – UART, SPI, I2C, I2S, GPIO
    • Dimension – 82 x 50 mm
  • Vision-AI IO Board:
    • SOM connect – SMARC 2.1.1 edge connector (314-pin)
    • Expansion – M.2 key-M slot (NVMe storage accessory option), M.2 key-E slot (Wi-Fi 6E/BT 5.4 accessory option)
    • Networking – Gigabit Ethernet RJ45 connector
    • USB – 2x USB 3.1, 2x USB 2.0, 1x USB-C OTG
    • Display – 1x miniDP, 1x MIPI-DSI display connectors
    • Camera – 1x 4L and 1x 2L MIPI-CSI 22-pin connectors
    • Audio – 2x PDM Mics, Audio Codec, Stereo HP jack
    • Additional I/O – 2x button switches, RGB User LED, 40-pin Pi-HAT header, 4-pin CAN header, 10-pin Test IO header
    • Power – 2-pin RTC battery header, DC Power supply via USB-C PD (9V / 3A)
    • Operating Temperature: -40°C to +85°C
    • Dimensions – 100mm x 79mm

The kit comes with a SMARC 2.1.1 edge connector, meaning the dev board itself can be equipped with other compatible SOMs such as the MSC SM2S-QCS5430, the MSC SM2S-ASL, and others.

QCS6490 Vision AI Development Kit Top and Bottom
QCS6490 AI Vision Development Kit Top and Bottom

The product will ship with the AES-SM2S-QCS6490-DK-G Vision-AI Carrier IO Board, equipped with the SM2S-QCS6490 SMARC compute module. It also includes a high-resolution 12MP MIPI CSI IMX577 camera for capturing detailed images and videos. The company is providing A USB-C PD power supply (9V) in the box for power.

In terms of software, the module will support Windows 11 IoT,  Yocto Linux BSP with Qualcomm Linux software stack (with 6.6.x upstream LTS kernel) and QIM Product SDK, and the company also mentions that they will offer support for Android and Ubuntu Linux upon request only.

While Avnet has not yet disclosed the pricing details for the MSC SM2S-QCS6490 AI Vision Development Kit, it is expected to ship in Q4, 2024. You can find more information about the product on the company’s products page.

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One Reply to “Avnet AI Vision Development Kit features Qualcomm QCS6490 SoC, dual camera, GbE, and USB-C PD”

  1. I am not happy with my Avnet MaaxBoard. There is hardware problems in SD card regulators because of this i cannot get normal speeds from SD card.
    Best regards.

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