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VVDN-QCS6490 Edge AI Box
VVDN has designed and developed an AI Edge Box based on the Qualcomm® Snapdragon™ SoC QCS6490, optimized for high-quality, real-time video analytics and data analysis on the edge. The edge box includes a power-efficient, compact QCS6490 SOM, which supports advanced edge AI analytics. It has rich I/O interfaces including Ethernet, HDMI, PCIe ,USB 3.1 Type-C, USB 2.0, and more. This edge box is targeted for use cases including smart retail, security & surveillance, factory, smart cities, and industrial.
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VVDN QCS8250 Development Kit
QCS 8250 development kit latest offering from VVDN is a powerful compact solution for edge computing applications. The QCS 8250 development kit comprises of SOM (based on Qualcomm®’s QCS8250 IoT Octa-core SoC) and Carrier Board designed and developed by VVDN. The SOM provides multiple standard interfaces such as UART, I2C, SPI, configurable GPIOs, CAN, USB 3.1. It can support multiple cameras with six 4-lane MIPI CSI and two 4-lane MIPI DSI
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VVDN QCS610/410 Development Kit
VVDN QCS610/QCS410 development kit is a compact and powerful solution for advanced visual intelligence applications. The development kit is a combination of the powerful Qualcomm® QCS610 / QCS410 SoC and carrier board developed by VVDN.
The development kit provides a platform for the full evaluation of the Qualcomm® QCS610/QCS410 SoC with a built-in Neural Processing Engine for on-device edge AI capabilities.
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VVDN QCS610 SOM
VVDN QCS610 system on module is a compact and powerful solution based on Qualcomm® QCS610 SoC, Qualcomm® Kryo™ 460 CPU, and Qualcomm® Adreno™ GPU 612 for advanced visual intelligence applications. The Module offers multiple connectivity options with integrated Wi-Fi IEEE802.11 b/a/n/ac 2.4/5Ghz via Qualcomm® WCN 3980 and Bluetooth 5.0. The system is intended for connecting camera intelligence applications such as 180-degree dual-camera stitching, advanced tracking algorithms, video conferencing, etc.
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VVDN QCS410 SOM
VVDN QCS410 system on module is a compact and powerful solution based on Qualcomm® QCS410 SoC, Qualcomm® Kryo™ 460 CPU, and Qualcomm® Adreno™ GPU 612 for advanced visual intelligence applications. The Module offers multiple connectivity options with integrated Wi-Fi IEEE802.11 b/a/n/ac 2.4/5Ghz via Qualcomm® WCN 3980 and Bluetooth 5.0. The system is intended for connecting camera intelligence applications such as 180-degree dual-camera stitching, advanced tracking algorithms, video conferencing, etc.
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VVDN QCM2290/ QCS2290 SOM
VVDN QCM2290/QCS220 SOM, designed and developed by VVDN is based on Qualcomm® Snapdragon™ QCM2290/QCS2290 platform.
The system on module (SoM) comes with an Android 12-based operating system and supports rich I/O interfaces including MIPI-CSI, MIPI-DSI, USB, SD card, GPIO, JTAG, to connect LCD panels, and camera modules, for the development of vision intelligent IoT applications.
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VVDN-QCS6490 SOM (B2B)
VVDN is designing, and developing SOM based on Qualcomm® Snapdragon™ SoC QCS6490. The SOM supports rich interfaces for connectivity including Wi-Fi 6 (802.11ax) & Bluetooth 5.2 and other rich peripherals including 5X4 lane MIPI CSI for cameras, 4 lane MIPI DSI for display, USB3.1 ,USB 2.0 etc.
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VVDN QCS6490 SOM (LGA)
VVDN has designed and developed SOM based on the Qualcomm® Snapdragon™ SoC QCS6490. The SOM supports a wide range of interfaces, including camera support with up to 4K30 encoding & up to 4K60 decoding capabilities. It also offers extensive peripherals connectivity, such as 4x4 lane MIPI CSI for cameras, 4x4 lane MIPI DSI for displays, USB 3.1 Type C,USB 2.0 and more.
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VVDN QCM6490 SOM
VVDN has designed and developed QCM6490 SOM based on the Qualcomm® Snapdragon™ SoC QCM6490. The SOM supports rich interfaces for connectivity including global 5G mmW/Sub-6 GHz, Wi-Fi 6E (802.11ax), Bluetooth 5.2 and other rich peripherals including Four 4 lane MIPI CSI for cameras, One 4 lane MIPI DSI for display, USB 3.1, USB 2.0 etc. The SOM provides rich hardware interfaces and software SDKs for building quick prototype development and validating functions easily.
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