Qualcomm launches new 5G IoT processors, robotics platforms and accelerator program
At Embedded World 2023, Qualcomm Technologies demonstrated new technologies and products to power connected IoT and edge devices. The technology serves various applications in industrial automation, healthcare, autonomous robotics and retail.
The products range from 5G IoT processors and robotics to IoT platforms and an IoT accelerator program that fuses different technologies.
“Qualcomm Technologies is committed to fueling innovation, creating new business opportunities, enabling the next generation of 5G connectivity and premium edge AI — and that starts with ensuring accessibility and performance across the ecosystem,” says Dev Singh, the VP of business development and head of building, enterprise and industrial automation at Qualcomm.
Recommended reading: Qualcomm, Prophesee team up to increase camera performance in mobile devices
Qualcomm unveils two new 5G processors for developing IoT applications
Qualcomm introduced two integrated 5G IoT processors, QCS6490 and QCM6490, to support Linux, Ubuntu, Android and Microsoft Windows IoT Enterprise operating systems. According to the company, it helps customers build and develop IoT applications for use in the retail, healthcare and other 5G-connected industries. Qualcomm’s SoC processors are equipped with geolocation capabilities, allowing them to pinpoint a device’s precise location and inform the central server when it moves outside a predefined area.
“Windows IoT brings enterprise-grade security, device management tools, and long-term servicing to ensure secure and reliable operations,” says Kam VedBrat, the partner director of PM, Azure at Microsoft.
In addition, Qualcomm Technologies unveiled two software-defined IoT solutions, the QCM5430 and QCS5430 processors, which support multiple operating systems. The company says these processor devices support up to five vision sensor inputs and enable video encoding at up to 4K at 30 frames per second. The company says these devices are ideal for machine vision applications that require lower power consumption and advanced AI capabilities.
According to Qualcomm, the QCM5430 and QCS5430 processors allow operators to choose between premium, preset and customized feature packs. Customers can upgrade the device in the future to support its changing needs. The preset packages come with Wi-Fi IEEE802.11ax, which supports a transmission speed of up to 3.6Gbps.
Recommended reading: Qualcomm Technologies demonstrates generative AI on Android phone
Qualcomm introduces RB1 and RB2 robotics platforms with AI capabilities
The Qualcomm Robotics RB1 platform uses the company’s QRB2210 processor to develop high-performance mobile robots. According to the company, the RB1 platform is an entry-level robotics platform that combines heterogeneous computing and AI capabilities. Within this device lies an Arm Cortex-A53 processor core and the Qualcomm Adreno 702 GPU for graphics.
The Qualcomm Robotics RB2, on the other hand, is a high-end device with powerful AI capabilities featuring a quad-core Qualcomm Kryo 260 CPU and the Adreno 610 GPU. Interestingly, it has an on-device AI processor that supports most AI frameworks, including TensorFlow.
Upon joining forces with NASA Jet Propulsion Labs (JPL), Qualcomm Technologies leveraged its existing robotics capabilities to develop technologies for the Mars helicopter, Ingenuity. This collaboration paved the way for the company to expand its robotics ecosystem by introducing three platforms: the Qualcomm Robotics RB3, RG5 and RG6.
Qualcomm launches IoT accelerator program to support digital transformation
Qualcomm’s IoT Accelerator Program is designed to support embedded hardware designers, software vendors and system integrators in their digital transformation journey. The company says the program facilitates the development of robust technology and an IoT ecosystem.
According to Singh, “Our latest innovations, including the new robotics platforms and upgraded IoT processors, alongside the new Qualcomm IoT Accelerator Program, are designed to deliver greater support, expertise, and access to robust technologies to an even broader range of builders and developers who play an important role in scaling intelligent edge devices.”
Edge computing for the energy industry
Article Topics
5G | Industry 4.0 | IoT | Qualcomm | robotics
Comments