Microchip Technology, via its Microsemi subsidiary, announced its Smart Embedded Vision initiative that provides solutions for designing intelligent machine vision systems with Microchip’s low-power PolarFire field programmable gate arrays (FPGAs).
With this announcement, Microchip extends its high-resolution, smart embedded-vision FPGA offerings with new enhanced high-speed imaging interfaces, an intellectual property (IP) bundle for image processing and an expanded partner ecosystem.
As compute-intensive, vision-based systems are increasingly integrated at the network edge, FPGAs are quickly becoming a preferred flexible platform for next-generation designs. In addition to requiring high-bandwidth processing capabilities, these intelligent systems are deployed in small form factors with tight thermal and power constraints.
The Smart Embedded Vision initiative provides a suite of FPGA offerings that includes IP, hardware and tools for low-power, small-form-factor machine vision designs across the industrial, medical, broadcast, automotive, aerospace and defence markets.
The initiative introduces Kaya Instruments, which provides PolarFire FPGA IP cores for CoaXPress v2.0 and 10 GigE vision, to Microchip’s partner ecosystem. The ecosystem also includes Alma Technology, Bitec and South Africa’s very own artificial intelligence (AI) partner ASIC Design Services, which provides the Core Deep Learning (CDL) framework that enables a power-efficient convolutional neural network (CNN)-based imaging and video platform for embedded and edge computing applications.
In addition to new high-speed imaging IP cores and the PolarFire Imaging IP bundle, a new MIPI-CSI2-based machine learning camera reference design is available for smart embedded system implementations. Based on the PolarFire FPGA imaging and video kit that uses inference algorithms from ASIC Design Services, the reference design is free for customers to evaluate.
All Smart Embedded Vision solutions are supported by the Libero SoC Design Suite, Microchip’s comprehensive development tool.
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