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Connected intelligent edge IoT and robotics solutions

IoT

The world’s first integrated 5G IoT processors can support four different operating systems to create new business opportunities for industry.

Qualcomm Technologies has upgraded the high-tier SOC Qualcomm QCS6490 and Qualcomm QCM6490 processors, used for a wide range of IoT applications, to support four major different operating systems. An industry first, the Qualcomm QCS6490/Qualcomm QCM6490 can now run Linux, Ubuntu, and Microsoft Windows IoT Enterprise, in addition to Android.

These new innovations will empower manufacturers participating in the rapidly expanding world of devices at the connected intelligent edge.

The new Qualcomm processors offer advanced features such as 5G support for global connectivity and geolocation for a broad range of solutions, including connected camera devices such as dashcams, edge boxes, industrial automation equipment (IPC, PLC), autonomous mobile robotics, and more.

The need for connected, intelligent, and autonomous devices is growing rapidly, and it is expected to hit $116 billion by 2030 according to Precedence Research. Businesses attempting to compete in this fast-moving economy need a reliable source of control and connectivity technology for their IoT and robotic devices.

“Enabling the next generation of 5G connectivity and premium edge-AI starts with ensuring accessibility and performance across the ecosystem,” said Dev Singh, VP, business development and head of building, enterprise & industrial automation at Qualcomm Technologies.

The new processors are Qualcomm Technologies’ first software-defined IoT solutions. Combining performance, premium connectivity, and support for multiple OS options, the platforms can scale across a wide footprint of IoT devices and deployment configurations for a visual environment. OEMs including builders of industrial handheld devices, retail equipment, mid-tier robots and connected cameras, AI edge boxes, and more will have the flexibility to choose between premium, pre-set, or customised feature packs today, and then upgrade them in the future to support their own needs or to provide customer upgrades.

The Qualcomm QCM5430/Qualcomm QCS5430 processors are designed to support up to five vision sensors inputs, and video encoding at up to 4K30. It is ready to support machine vision requirements with low-power and advanced edge-AI processing. When necessary, the edge AI can switch to cloud processing for handling multiple camera connections, optimizing between response time and power efficiency, as the manufacturer or user requires. All Qualcomm QCM5430/Qualcomm QCS5430 processor devices are designed to support enterprise-grade on-device security.

“Our collaboration with Qualcomm Technologies is designed to help companies easily build, deploy, and operate a diverse range of Windows IoT-based cloud-connected edge devices in key industries including industrial, retail, and healthcare. Windows IoT brings enterprise-grade security, device management tools, and long-term servicing to ensure secure and reliable operations,” said Kam VedBrat, partner director of PM, Azure at Microsoft.

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