Friday, April 26, 2024

SMART Wireless Computing Enables High-Performance AI Edge Camera Applications With New Micro SoM Powered by Qualcomm

SMART Wireless Computing, Inc., an SGH company and leading provider of edge computing embedded solutions, announced the Inforce 68A1 system-on-module (SoM), a powerful new tool based on one of the latest and most advanced IoT solutions from Qualcomm Technologies, Inc., the Qualcomm® QCS8250 system-on-chip (SoC), which is designed to provide high performance for compute-intensive network edge Internet of Things (IoT) camera applications. The Inforce 68A1 SoM combines support for multiple high-resolution 8K or 4K cameras with complex artificial intelligence (AI) inferencing at the edge to enable smart camera systems, high-performance conferencing/collaboration devices, connected healthcare, and intelligent retail devices.

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The Inforce 68A1 SoM provides exceptionally high-resolution video capabilities, including processing 4K60 Ultra HD content for multiple cameras and displays concurrently, plus high bandwidth connectivity via 802.11ax DBS Wi-Fi 6E and Bluetooth 5 for connected camera networks. The module makes use of Qualcomm Technologies’ high-performance Qualcomm® Hexagon™ DSP and Qualcomm AI Engine to efficiently run heterogeneous deep learning workloads and neural networks for high-performance, on-device AI inferencing used in video analytics and to improve the user experience.

Never before has reliable video conferencing been more in demand, with companies across the globe embracing AI technology to simplify audio-visual collaboration as remote working becomes more widely adopted. By integrating the Inforce 68A1 SoM into enterprise video conferencing solutions, businesses can deliver content, connect and interact effortlessly, from anywhere, for a flawless video experience.

As retailers look to keep up with changing landscapes, the introduction of AI video content analysis solutions presents an entirely new level of data processing which leads to a deeper understanding of consumer attitudes, preferences, and buying habits. By integrating the Inforce 68A1 SoM into retail camera systems and self-checkout technology, retailers can improve merchandising and enhance customer behavior and engagement while providing a seamless, low-contact shopping experience.

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