Microchip Technology PolarFire® FPGA Video & Imaging Kit

Microchip Technology PolarFire® FPGA Video and Imaging Kit (MPF300-VIDEO-KIT-NS) offers a high-performance evaluation of 4K image processing and rendering using dual camera sensors and numerous display interfaces. The kit is purpose-built for effortless prototyping of popular imaging and video protocols, including MIPI® CSI-2 TX, MIPI CSI-2 RX, HDMI® 1.4 TX, HDMI 2.0, DSI, and HD/3G SDI.

With a 300K Logic Element (LE) PolarFire® FPGA with DDR4 and SPI-flash, the Microchip Technology PolarFire® FPGA Video and Imaging Kit is ideally suited for mid-bandwidth imaging and video applications. The PolarFire® device on-board optimizes Inputs/Outputs (I/Os), transceiver rates, Look-up Table (LUT4) architecture, memories, and DSPs for mid-density/mid-bandwidth ranges, to deliver a superior solution at much lower power and lower total cost of ownership.

Features

300K LE PolarFire® FPGA in an FCG1152 Package
Sony Dual Camera Sensor (IMX334) over Amphenol FCI connector (CSI-2 RX)
HPC FMC connector
4GB DDR4 x32
Power management unit for 1 or 1.05v PolarFire® FPGA core voltage
USB to UART interface

Embedded programming and debugging using SPI and JTAG
1x 1Gb SPI flash memory
HDMI 2.0 RX and TX
HDMI 1.4 TX
DSI connector
CSI-2 TX connector

Kit Contents

PolarFire® Video and Imaging Board with MPF300T-1FCG1152E Device (Non-Secure)
Dual Camera Sensor board (VIDEO-DC-DUALCAM)
HDMI cable
12V power pack/AC adapter

USB 2.0 A male to Mini-B
QuickStart card
Libero Gold Software License

Microchip University Webcast

Learn How to Implement Real-Time Video or Image Processing in Application

This webcast will provide a high-level understanding of Smart Embedded Vision (SEV) and how to apply video pipeline concepts to PolarFire® FPGA designs. The session will cover how to add a camera interface like MIPI and a display interface like the High-Definition Multimedia Interface (HDMI) to the video pipeline. It will also explain the basic image processing functions required to convert raw data from the camera into a visually enhanced video. This class is available on demand from Microchip University.