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    What is AI Smart Module and What Does It Mean for the AIoT Industry

    アップロード日: 2022-08-03

    As the AIoT (Artificial Intelligence of Things) gradually representing the next wave of IoT, AI has been used to turn data into actions, potentially transforming industries and society. In our previous blog, we’ve talked about smart module and its empowerment for different business sectors. This article will explore AI smart module, and its impact on the AIoT industry.

    What is AI Smart Module

    As defined by its name, AI smart module can be seen as a subset of smart module. Smart module integrates a comprehensive set of wireless technologies such as 4G/5G communication capability. Nevertheless, with the increasing refinement of the AIoT industry, how to provide a customized, lightweight solution has become a problem of enterprises and developers.

    AI smart module is dedicated to meeting the need for compute-intensive scenarios, which can configure different communication standards according to different requirement. It is not to weaken its capability, but to provide more effective and better-fitting products according to the needs of different scenarios. AI smart module can support highly efficient AI performance for applications such as video collaboration, HD livestreaming, cloud gaming, edge computing, AR/VR, etc., along with powerful image processing capabilities.


    What AI Smart Module Brings to the Industry

    • Powerful edge computing

    Edge AI is the deployment of AI computation in devices near the edge of the network, close to where the data is located. By 2025, the projection for IoT-connected devices globally is 42 billion, according to research, which has fueled the explosion of big data. AI application at the edge is more flexible than centrally in a cloud computing facility, achieving real-time response, increasing privacy and operational efficiency, as well as improving risk management.

    • Superior image processing and camera support

    AI image processing combines advanced algorithm with machine learning and computer vision to process large volumes of pictures easily and quickly. With superior image signal processor (ISP) and graphical processing unit (GPU), AI-based image processing can identify objects, improve image quality, count, measure and analyze objects in images and videos automatically, and enable adjustment using predefined algorithm.

    The implementation of AI for image processing opens a wide range of opportunities in the fields such as vehicle detection, law enforcement, video collaboration, telemedicine, smart retail, and so on.

    Take smart retail as an example. For offline shopping centers and other commercial places, collecting and analyzing big data such as visitor flows can be helpful for enterprises and organizations. By integrating AI smart modules in IPC, retailers can have access to complex consumer data insights, so as to create business critical market strategy that helps them navigating the challenges of the retail sector.


    How Fibocom AI Smart Module Can Help

    Equipped with the Qualcomm QCS8250 IoT solution, Fibocom’s cutting-edge AI smart module SCA825-W integrates an octa-core Kryo™ 585 CPU, Adreno™ 650 GPU, dedicated NPU 230 (Neural Processing Unit), as well as Hexagon™ DSP for machine learning. The module can deliver a computing power of up to 15 TOPS, enabling complex AI computing performance with exceptional features. Featuring a powerful Spectra ™ 480 ISP (image signal processor) Adreno 995 DPU and Adreno 665 VPU, the module also supports up to seven concurrent cameras, triple 4K display and video encode at up to 4K resolution at 120 fps, 8K at 30 fps (frames per second), offering superior image capturing, processing and displaying capabilities.

    AIoT technology is gradually being integrated into our everyday lives. Fibocom’s smart module portfolio with different functions is to satisfy different application requirements, ranging from AI, 5G, 4G Premium, 4G Medium and 4G Entry, which are ideal for both industrial and consumer applications requiring high data rates and multimedia functions.


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