PolarFire® FPGA and SoC solution stacks for smart robotics and medical imaging have been introduced by Microchip Technology in response to the pressing issues of shortening product development cycles and simplifying complex development procedures. The smart embedded vision, industrial edge, and intelligent edge communications stacks that Microchip already offers are expanded with these new releases.
Designing these kinds of power and thermally constrained applications has never been more difficult than it is now with the growth of the Internet of Things, industrial automation, smart robotics, and medical imaging solutions to the intelligent edge.
The solution stacks includes integrated hardware for high-speed Ethernet protocols, a variety of ready-to-use sensor and camera interfaces, and firmware and IP cores for A-assisted 4K60 computer vision.
Perception and coordination tasks in robots are made easier by real-time ROS-2 compatible cores. The stacks provide sophisticated operating system support, asymmetric processing frequently used in industrial automation, and time-sensitive industrial networking protocols for OPC/UA.
Software design kits, such as the SmartHLS IDE, VectorBlox Accelerator SDK, and the Libero SoC Design Suite, which has been certified for applications requiring IEC61503 SIL 3 functional safety, enable a high degree of customization and support a variety of development environments focused around C/C++, RTL, and well-known machine learning frameworks.
The solution stacks combine the most secure and power-efficient mid-range PolarFire FPGAs and PolarFire SoC FPGAs available in the market, along with a wide range of hardware and software options and cyber security safeguards that give system designers the flexibility to experiment with robotics and medical imaging applications.
One example of Microchip’s innovative solution stacks can be found in its recently announced PolarFire FPGA Ethernet Sensor Bridge that works with the NVIDIA® Holoscan sensor processing platform.
With its ability to bridge real-time sensor data to NVIDIA Holoscan and the NVIDIA IGX and NVIDIA Jetson platforms for edge AI and robotics, the Sensor Bridge unlocks new edge-to-cloud applications, enables AI/ML inferencing and facilitates the adoption of AI in medical, industrial and automotive markets.
Key Comments
“Our customers have an urgent requirement to drive significant innovation in secure, functionally safe, AI-assisted industrial automation and portable medical imaging that delivers unprecedented compute horsepower in the smallest of physical footprints which are thermally stressed, and that are very vulnerable to cyber-security threats,” said Shakeel Peera, vice president of marketing and strategy for Microchip’s FPGA business unit. “To that end, we are now providing all developers in these segments the ability to utilize power-efficient hardware and customizable solution stacks with an end goal of rapidly deploying intelligent medical imaging and autonomous robots.”
Pricing and Availability
For additional information contact a Microchip sales representative, authorized worldwide distributor or visit Microchip’s Purchasing and Client Services website, www.microchipdirect.com.
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