Qualcomm's New Lineup Expands Intelligent Edge Systems

Qualcomm Technologies, Inc. has introduced its lineup of integrated 5G IoT processors designed to support four major operating systems. Particularly, expanding to two new robotics platforms and an accelerator program for IoT ecosystem partners. These new innovations will empower manufacturers participating in the rapidly expanding world of devices at the connected intelligent edge.

The need for connected, intelligent, and autonomous devices is growing rapidly. Hence, the market is likely to hit US$116 billion by 2030, said Qualcomm quoting 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.

For that reason, Qualcomm Technologies, which has shipped over 350 million dedicated IoT chipsets, is providing manufacturers with the platforms needed to address this expanding segment.

Dev Singh, Vice President, Business Development and Head of Building, Enterprise & Industrial Automation, Qualcomm Technologies, Inc. said the company wants to fuel innovation and create new business opportunities. Thus, enabling the next generation of 5G connectivity and premium edge AI.

First Integrated 5G IoT Processors

Qualcomm Technologies has upgraded the high-tier SOC Qualcomm QCS6490 and Qualcomm QCM6490 processors, used for a wide range of IoT applications. Particularly, 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.

The Qualcomm QCS6490/Qualcomm QCM6490 processors offer advanced features such as 5G support for global connectivity and geolocation for a broad range of solutions. These include connected camera devices such as dashcams, edge boxes, industrial automation equipment (IPC, PLC), autonomous mobile robotics, and more.

The new Qualcomm QCM5430 processor and Qualcomm QCS5430 processor 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.  

Particularly, 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 customized feature packs. In addition, they can upgrade in the future to support their own needs or to provide customer upgrades.

The Qualcomm QCM5430/Qualcomm QCS5430 processors can 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.

Furthermore, all Qualcomm QCM5430/Qualcomm QCS5430 processor devices can support enterprise-grade on-device security.

Diverse Functions, Features

Both pre-set platform packages – Qualcomm QCM5430/Qualcomm QCS5430 Feature Pack 1 and Qualcomm QCM5430/Qualcomm QCS5430 Feature Pack 2 – include premium connectivity. Moreover, the Wi-Fi support includes 802.11ax (Wi-Fi 6E) with transmit speeds up to 3.6Gbps and other enhancements for reduced latency, increased responsiveness, and seamless handoffs in dense mesh environments such as hospitals and warehouses.

The connectivity suite on the Qualcomm QCM5430 processor variant also includes a 5G modem that supports mmWave connectivity for ultra-fast data and highly precise geolocation.

The packages’ wired connectivity options start with a single USB 3.1 port and 1 PCIe port and can be configured for up to two PCIe and a 4K60 display port, as well as other options.

Meanwhile, the upgraded Feature Pack 2 ramps up the options with increased CPU performance and interface support.

Furthermore, customers can also choose from a variety of scalable and upgradable options as part of the Qualcomm QCM5430/Qualcomm QCS5430 Custom Feature Pack, including support up to 4K 60fps video and up to Triple ISP camera.

Qualcomm® Robotics RB1, RB2 Platforms

Robotics innovators can create the next generation of high-performance everyday robotics and IoT products with the new Qualcomm Robotics RB1 platform and Qualcomm Robotics RB2 platform. Most importantly, the new Qualcomm® QRB2210 processor and Qualcomm® QRB4210 processor power both platforms.

The Qualcomm Robotics RB1 and Qualcomm Robotics RB2 platforms feature general compute and AI-focused performance and communications technologies. They come with built-in support for machine vision support for up to three cameras. Hence, providing on-board intelligence to meld this data with innovative high-performance sensors from TDK Corporation for applications such as autonomous navigation.

The Qualcomm Robotics RB2’s feature set extends on the Qualcomm Robotics RB1, with upgraded compute and GPU power with a dedicated AI accelerator that offers double the processing capability of the Qualcomm Robotics RB1. This gives it the capability to perform advanced, real-time, on-device AI and machine learning, detection, classification, and environmental engagement.

Moreover, it can support cameras with up to 25MP of resolution and has upgraded security features including a secure DSP and UI. The Qualcomm Robotics RB2 also offers support for additional peripheral standards such as UFS2.1, GPIO, UART, and more. The platforms support current and emerging connectivity standards, including wired connections (USB 3.1 type-C for interconnects, and EMMC v 5.1 and SD3.0 for storage) and wireless connectivity through Wi-Fi, LTE, and 5G.