LIFCL-40-EVNG

Introducing the New CrossLink™ Solution - Bridging the Connectivity Gap Lattice Semiconductor has developed CrossLink™, the first programmable Application Specific Standard Product (pASSP™) interface bridge that supports leading protocols for mobile image sensors and displays. The CrossLink device combines the flexibility and fast time to market of an FPGA with the power and functional optimization of an ASSP to create a new product class called programmable ASSP (pASSP) that delivers the best of both worlds. As the first solution in this category, the CrossLink device is a low cost video interface bridge with the highest bandwidth, lowest power and smallest footprint. This makes it the optimal solution for applications that can range from virtual reality (VR) headsets, drones and DSLR cameras to smartphones, tablets and wearable devices. The key to the CrossLink device’s potential is its comprehensive feature set. This new device sets the bar in performance as the industry’s fastest MIPI D-PHY bridging solution supporting speeds up to 12 Gbps. To maximize designer flexibility this revolutionary new device supports a wide range of interfaces and protocols including MIPI D-PHY, MIPI CSI-2, MIPI DSI as well as a long list of legacy video interfaces and protocols such as CMOS , RGB, MIPI DPI, MIPI DBI, SubLVDS, SLVS, LVDS and OpenLDI. Rapid development and performance evaluation – Allows interfacing between CrossLink, Raspberry Pi and Raspberry Pi cameras. Demonstrate Camera Aggregation – Use reference design and CrossLink Soft IP to interface two Raspberry Pi image sensors to a Raspberry Pi processor board. Enable New Applications – Enable new capabilities with your Raspberry Pi board by connecting multiple image sensors to it with minimal latency. Features of the LIFMD-RPI-EVN KitLIF-MD6000 Raspberry Pi Boards for use with MD6000 Master Link Board and Raspberry Pi 2Contains one Raspberry Pi Camera Link Board and one Raspberry Pi AP Link BoardRaspberry Pi Camera Link Board has connectors to interface to two Raspberry Pi cameras