Smart Embedded Vision

Microchip's PolarFire® FPGAs offer 30% to 50% lower total power than other mid-range FPGAs. As computing workloads move to the edge and offer five to ten times lower static power, these devices are ideal for computing-intensive edge devices including those deployed in thermally and power-constrained environments. The PolarFire FPGA smart embedded vision solutions include video, imaging, and machine learning (ML) IP, and tools for accelerating designs that require high performance in low-power, small form factors across the industrial, medical, broadcast, automotive, aerospace, and defense markets.

Build an ultra-low-power and extremely small-form-factor artificial intelligence (AI)/ML application on the award-winning PolarFire FPGAs using the CoreVectorBlox neural network IP and the VectorBlox™ accelerator software development kit (SDK). The CoreVectorBlox IP is a flexible neural network accelerator that uses an overlay approach, where a single instantiation can run different networks without needing to be resynthesized.

The PolarFire SoC smart embedded vision development platform is a full-featured RISC-V® SoC FPGA kit that is part of Microchip's diverse portfolio of secure, reliable, and power-efficient vision solutions.