Qualcomm expands its IoT product portfolio for robotics and industrial applications
Qualcomm Technologies has launched two new processors, QCS8550 and QCM8550, for robotics solutions.
These processors are designed for autonomous robotics applications and provide advanced wireless connectivity and powerful computing capabilities for handling heavy workloads. They can specifically process graphics and videos.
Qualcomm QCS8550 and QCM8550 can perform efficiently under demanding enterprise workloads. The company claims that the system-on-chip incorporates a Kyro central processing unit that delivers 1.5 times the compute power than its previous generation. The hardware system comes with the 8th generation Qualcomm AI engine, which enables on-device AI processing, especially in the autonomous vehicle ecosystem.
“Our new solutions bring together the industry’s leading technologies across edge AI processing, innovative power efficiency, crystal-clear video, 5G connectivity and more to fuel the next generation of resilient, high-performing IoT applications,” says Dev Singh, the VP of business development and head of building, enterprise & industrial automation at Qualcomm Technologies Inc.
Several industrial handheld devices are used for process control in various applications, including retail, transportation and logistics. Qualcomm says its QCS4490 and QCM4490 processors bring efficient on-device processing with support for Wi-Fi 6E. The company thinks the hardware platform, which has multi-gigabit speeds of up to 3.6 Gbps, can benefit low-latency applications.
“With Qualcomm Technologies’ IoT component, our customers benefit from extended sales availability, additional operating system releases, a premium escalation support model and unique enterprise features,” says Julie Johnson, the VP and general manager of mobile computing at Zebra Technologies.
The Qualcomm QCS4490 and QCM4490 processors let users leverage Wi-Fi 6 multi-user, multiple-input, multiple-output architecture (MU-MIMO). Manufacturers of IoT devices have understood the significance of MU-MIMO. This technology helps reduce network congestion, minimizing wait time for a signal and speeding up network communication.
Remote workers working on a mission-critical enterprise application require always-on internet connectivity to communicate with stakeholders. MU-MIMO can improve data rates for the employee’s device and the overall Wi-Fi network.
Qualcomm unveiled two new 5G processors, QCS6490 and QCM6490, at Embedded World 2023. These processors come with geolocation capabilities. Additionally, the company released Robotics RB1 and RB2 platforms that use heterogeneous computing and AI capabilities to power high-performance mobile robots.
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Article Topics
chip | IIoT | Industry 4.0 | IoT | Qualcomm | robotics | wireless
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