Introducing DSGW-380, an AI-Powered Edge Computer for IIoT with 5G and WiFi 6 Technology

2023-10-18 Dusun News
AI-Powered Edge Computer,AI Edge Gateway Computer,gateway,DSGW-380

In the ever-evolving landscape of industrial automation, the demand for faster data processing, local operations, and multifaceted IIoT scenarios continues to surge. To meet these dynamic requirements, cutting-edge industrial gateways are now equipped with embedded multi-core processors, dedicated artificial intelligence chipsets, and robust multimedia processing capabilities. Dusun IoT, at the forefront of technological innovation, introduced a groundbreaking addition to this landscape in September: an AI-powered IIoT edge gateway computer driven by the formidable RK3588 chipset. Read to know more about it!


The landscape of IIoT gateways has experienced a remarkable surge in recent years, witnessing a significant uptick in growth, with the market share of IIoT gateways surging from 38% in 2021 to 2022. This surge has also triggered a compelling trend: the integration of high-performance processors and AI chipsets into IoT gateways, thus ushering in a new era of edge IoT gateways.


These cutting-edge gateway computers boast the capability to execute local data processing and advanced analytics, effectively curtailing the need to transmit vast data volumes to the cloud. This reduction not only leads to substantial cost savings but also augments the overall performance of IoT applications. Simultaneously, this trend has galvanized engineers to harness the formidable potential of more potent storage, computation, and in certain instances, AI chips for machine learning (ML) inference.


In response to this burgeoning demand, Dusun IoT has set its sights on the burgeoning edge computing AI market, introducing the DSGW-380 AI Edge Gateway Computer. This state-of-the-art device boasts a built-in Neural Processing Unit (NPU) endowed with a staggering 6Tops of AI computing power. It seamlessly accommodates mainstream deep learning frameworks, furnishing edge AI with a robust computational backbone, thereby enabling edge nodes to deliver intelligent services such as real-time scene awareness, instantaneous decision-making, and autonomous collaborative capabilities.

Fig.1

Rockchip's Flagship SoC to Elevate Edge Computing Excellence

The RK3588, Rockchip's crowning achievement unveiled at the close of 2021, represents the pinnacle of their innovation. Crafted with precision, it harnesses the cutting-edge 8nm Fin-FET process, boasting an integrated octa-core CPU configuration. The robust large cores hum at a clock speed of 2.4GHz, while the nimble small cores dance at a frequency of 1.8GHz. A Neural Processing Unit (NPU) delivers an astonishing 6 TOPS of computational might. This high-end processor is a revelation of high computing power, exceptional energy efficiency, superlative multimedia analysis capabilities, and a wealth of data interfaces, seamlessly bridging the realms of performance and versatility.

Fig.2

Origin: rock-chips.comRock-Solid Performance with Industrial-grade RK3588 SoC


The DSGW-380 edge AI gateway computer stands as a formidable force in the realm of industrial automation, and its strength lies in the remarkable RK3588 System-on-Chip (SoC) at its core. This powerhouse of a processor boasts a Quad-core Arm Cortex A76, coupled with a Quad-core Arm Cortex A55, enhanced by a NEON coprocessor, a dedicated MCU for low-power control, plus an ample 8GB of 64-bit LPDDR4 RAM and 128GB eMMC.


These features enable the DSGW-380 AI gateway open doors to a multitude of possibilities. It thrives in complex scenes, excels in the analysis of intricate video streams, and effortlessly tackles a range of demanding applications.


Enhanced Intelligence and Computing Efficiency at IIoT Edge by 6TOPs NPU

The 6TOPs NPU integrated into the RK3588 stands as a formidable AI powerhouse, capable of seamlessly supporting a wide array of precision options, including INT4, INT8, INT16, and FP16 mixed operations. This remarkable versatility extends to its robust compatibility with popular network model frameworks like TensorFlow, MXNet, PyTorch, and Caffe, supporting various deep learning framework software.


In an era marked by the ever-increasing intricacy of IIoT data and computational challenges, the RK3588 empowers the DSGW-380 to effectively implement artificial intelligence within an edge computing environment. This prowess enables the DSGW-380 to adeptly address the diverse application requirements prevalent in various industrial scenarios like predictive maintenance, energy management, and human-robot-machine collaboration, further solidifying its position as a cutting-edge solution for the demands of the modern industrial landscape.


Multi-media Processor Tailor-made for Advanced Multimedia Applications

The RK3588 is equipped with a multitude of robust embedded hardware engines, delivering outstanding multimedia capabilities. Among its impressive features is an 8K 10-bit video decoder that supports formats such as H.265, H.264, AV1, VP9, and AVS2, all at an astounding 8K@60fps. This ensures the seamless playback of 8K videos, delivering a visually captivating experience with vivid and intricate details.


Furthermore, the RK3588 boasts a Mali-610 MP4 GPU, specifically designed to accommodate intricate machine learning (ML) tasks by supporting the latest APIs like Vulkan and OpenCL. This GPU not only ensures that graphics run seamlessly on the device but also paves the way for a wide range of complex use cases in the realm of ML. In addition to the GPU, this versatile system-on-chip features a dedicated 2D graphics engine, an image enhancement processor, and a JPEG decoder.


These components work in unison to maximize image display performance, resulting in vivid and captivating visuals. They work together to empower the DSGW-380 edge computer with a smooth and immersive multi-media operating experience, elevating the device’s overall performance and user satisfaction.


Rich Interfaces to Facilitate Data Integration in Industrial Automation 

The DSGW-380 is strategically tailored for industrial automation applications, boasting an extensive array of peripheral interfaces meticulously designed to accommodate the diverse data requirements of a multitude of devices, eliminating the necessity for supplementary chips. Its interface repertoire encompasses 2 x I/O (Input/Output) ports, ensuring versatile connectivity for various sensors and control devices. Additionally, it features a 1 RS485 interface, facilitating robust communication in industrial settings. For legacy device integration, it provides 1 RS232 interface, while 1 CAN interface caters to automotive and manufacturing communication protocols. Furthermore, the DSGW-380 offers 2 HDMI ports supporting dual displays, underlining its exceptional scalability and suitability for multimedia-rich industrial applications.

Fig.3

The DSGW-380 is positioned as a competitive option for industrial automation because of this extensive interface ensemble, which fosters seamless data integration and adaptation to various industrial needs, further enhancing the scalability of industry customization in a significant way.


Upgraded Speed and Connectivity for Industrial Automation

The DSGW-380 IIoT edge computer represents a leap forward in speed and connectivity, catering to the demands of industrial automation. Its high-speed interfaces are engineered for maximum efficiency, enabling seamless integration of multiple communication methods and optimizing network transmission.


Among its cutting-edge features, the DSGW-380 offers Wi-Fi 6, ensuring lightning-fast wireless connectivity. It boasts two Gigabit Ethernet ports (2 RJ45 ports), guaranteeing robust and reliable wired connections. Additionally, the inclusion of 5G technology, complete with a SIM card slot, catapults this edge computer into the realm of high-speed mobile communication.


Fig.4


Complementing these advancements are two USB 3.0 ports, providing users with a flexible array of options to select and match for a wide range of practical applications. The DSGW-380's prowess in speed and connectivity empowers industrial automation to operate at the forefront of efficiency and adaptability.

Table.1

Multiple OSs for Versatile Industrial Automation Solution

The DSGW-380 boasts impressive compatibility with a range of operating systems, offering robust support for Linux and the ROS (Robot Operating System). This compatibility ensures not only the stability and reliability of system operations but also the long-term resilience of user applications. It establishes a secure and dependable ecosystem, ideal for product research and production endeavors.


Distinguished by its versatility, the DSGW-380’s capacity to run various operating systems, coupled with its exceptional performance, reliability, and scalability, positions it as a versatile multifunctional device. It seamlessly transitions into roles such as an industrial embedded PC, a 5G IoT gateway, a WiFi 6 gateway, and more. This adaptability underscores its status as a multifaceted solution, ready to meet diverse industrial needs with unwavering performance and dependability.

Fig.5

While the DSGW-380 is compatible with a variety of operating systems, we prioritize user convenience by pre-installing Debian 11. This ensures a smooth and hassle-free out-of-the-box experience. However, it's important to note that Dusun IoT remains committed to providing comprehensive support for other operating system installations. This commitment reflects our dedication to flexibility, allowing users to tailor their systems to their specific requirements, all while benefiting from the stability and reliability of the DSGW-380 hardware platform.


Robust Design for Industrial Resilience

The DSGW-380's combination of durability, adaptability, and temperature tolerance positions it as an indispensable asset in the most challenging of industrial applications.


DSGW-380 is meticulously engineered with a rugged aluminum alloy structure, fortified by an active fan cooling system. This robust design not only ensures efficient heat dissipation but also enhances the device’s durability in demanding environments. Moreover, the DSGW-380 exhibits an impressive working temperature range of -25℃ to 75℃, exemplifying its resilience in the face of extreme conditions. This remarkable capacity to withstand severe working environments makes it a dependable choice across a wide spectrum of industrial scenarios.


Fig.6

crafting excellence with uncompromising quality

Additionally, its versatility also shines through with support for both flat and wall-mounting configurations, enabling flexible installation to suit diverse industrial setups.


DSGW-380 AI Edge Gateway's Versatile Applications in Industrial and Robotic Automation

The DSGW-380 AI Edge Gateway Computer, leveraging the formidable RK3588 chipset, fast speed, multiple OS compatibility, as well as rugged industrial design, emerges as a versatile edge computer solution tailored to a spectrum of cutting-edge industrial applications. Its adaptability spans domains like smart manufacturing, where it enhances operational efficiency and productivity. In the realm of robotic automation, the DSGW-380 seamlessly integrates, optimizing robot control and coordination. Yet, its prowess extends beyond these domains.



Within the industrial landscape, the DSGW-380 thrives in multifaceted scenarios. It excels in multi-screen splicing, creating immersive visual environments. In the era of edge computing, it has become a reliable workhorse, processing data and enabling real-time decision-making, all while operating flawlessly under the harshest temperature conditions.


Final Words

In essence, the DSGW-380 AI Edge Gateway Computer facilitates data collection, local processing, and rapid on-site judgment. It not only elevates the efficiency of industrial processes but also empowers professionals to make informed decisions swiftly, bridging the gap between data acquisition and actionable insights. It emerges as a cornerstone of innovation, fueling progress across a multitude of dynamic and demanding scenarios.

Fig.8

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