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Functional Safety

ROS 2

Multi-Axis Motion Control

4K60 Machine Vision

Secure Manufacturing

Power Efficiency

Real-Time Linux With AMP

Auto-Grade Silicon

Time Sensitive Networks

AI/ML

Secure Boot

OPC UA

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New technology brings new ways for a system containing electronics or programmable electronics to fail.  We are committed to providing FPGAs that you can successfully use in safety-critical designs. 

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Functional Safety

Safety-critical systems, system control and security applications require the flexibility of Linux and the determinism of real-time systems. PolarFire® SoC FPGAs feature a multi-core Linux-capable processor with a coherent memory subsystem, enabling a blend of real-time systems and Linux OS in a single CPU cluster. This enables high performance and hard real-time capabilities. 

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Real-Time Linux   With AMP

Acceleration Robotics and Microchip collaborated to launch Robot Operating System (ROS) 2 for Microchip's PolarFire® SoC FPGA Icicle Kit. The release includes a portfolio of ROS 2 API-compatible IP cores for common robotic tasks like perception and coordinate transformations.

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ROS 2

We offer a comprehensive range of automotive-qualified FPGAs and SoC FPGAs. Our low-power, instant-on and high-reliability AEC-Q100-qualified FPGAs are used in various applications such as inverter control and DC-DC conversion in electric/hybrid vehicles and Smart Embedded Vision (SEV) in Advanced Driver-Assistance Systems (ADAS).

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Auto-Grade Silicon

Our FPGAs provide a versatile motor control IP suite and reference designs for high-performance, efficient power electronics in multi-axis and high-RPM motor control applications. FPGA-based solutions ensure deterministic and consistent performance with fixed timing based on clock frequency and Time Division Multiplexing (TDM) for precise multi-axis control. 

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Multi-Axis Motion Control

Time-Sensitive Networking (TSN) enables prioritized and deterministic data transmission to support the seamless flow of critical information within the robot, enabling precise and timely actions. 

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Time Sensitive Networking

PolarFire® SoC and PolarFire FPGA Smart Embedded Vision (SEV) solutions include video, imaging and Machine Learning (ML) IP and tools for accelerating designs that require high performance in low-power, small form factors.

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4K60 Machine Vision

The VectorBlox™ accelerator Software Development Kit (SDK) offers a power-efficient Convolutional Neural Network (CNN)-based Artificial Intelligence/Machine Learning (AI/ML) inference with PolarFire® FPGAs.

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AI/ML

Our FPGAs feature patented Differential Power Analysis (DPA) countermeasures from Rambus and NIST-certified cryptographic algorithms for accuracy and interoperability. Cryptographically controlled manufacturing enables tamper-proof shipping, offering a secure programmable hardware platform for your designs.

Secure Manufacturing

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The secure boot process on Microchip FPGA devices is a security feature that ensures that only authenticated and trusted software is loaded and executed on the device. The process involves verifying the digital signature of the bootloader and firmware before allowing them to run on the device.

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Secure Boot

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Power Efficiency

OPC Unified Architecture (OPC UA) is a cross-platform, open-source IEC 62541 standard for machine-to-machine communication. PolarFire® SoCs can demonstrate OPC UA in client and server configurations to serve industrial edge use cases.

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OPC Unified Architecture

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