Microchip unveils stack solutions for medical imaging

With the release of its solution stacks, Microchip seeks to address the critical challenges of accelerating product development cycles and easing complicated development processes.

The solution stacks include firmware and IP cores for AI-assisted 4K60 computer vision, a diverse set of ready-to-use sensor and camera interfaces and integrated hardware for high-speed Ethernet protocols. Real-time ROS-2 compatible cores facilitate robotics tasks for perception and coordinate transformation. The stacks offer time-sensitive industrial networking protocols for OPC/UA, rich operating systems support and asymmetric processing commonly used in industrial automation.

Software design kits allow for a high-level of customisation and support diverse development environments centered around C/C++, RTL and popular machine learning frameworks, which includes the SmartHLS IDE, VectorBlox Accelerator SDK and the and Libero SoC Design Suite which has been certified for applications needing IEC61503 SIL 3 functional safety. The solution stacks bring togetherpower-efficient and secure mid-range PolarFire FPGAs and PolarFire SoC FPGAs, a combination of hardware and software solutions with cyber security protections that enable system designers to have the freedom to innovate in medical imaging and robotics applications.

“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 developers in these segments the ability to utilise power-efficient hardware and customisable solution stacks with an end goal of rapidly deploying intelligent medical imaging and autonomous robots.”

An 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.