See Live Demos of PI’s Photonics / Fiber Alignment Technology at OFC in San Diego

New exhibits showcase the key to parallelism and high productivity for industry, such as device packaging and testing, in the PI booth, starting March 6, 2022.

March 6, 2022: Key industry players in optical networking will be at gathering in San Diego to share their research, new ideas, and experience the best their field has to offer. PI engineers are on-hand to answer questions and propose precision motion solutions relating to photonics automation.

The Award-Winning SiP Solution: FMPA

The FMPA Fast Multichannel Photonics Alignment Engine is an advanced alignment system based on a highly specialized digital motion controller with embedded advanced alignment and tracking functionality and a hybrid precision scanning and tracking mechanism combining the advantages of piezoelectric on servo-motorized drives. It addresses the market need for fast, parallel, nanoscale-accurate, multi-degree-of-freedom global optical alignment optimization required in key SiP production steps from planar test to packaging.

Time savings on the order of 90% and more are feasible compared to traditional photonics alignment systems. The FMPA systems are available for single and double sided alignments and can also be added to existing wafer probers. 

Linear Motor Driven Solutions

A flexible combination of PI´s industrial stages and new alignment-enabled controls from ACS addresses tough throughput and yield challenges for photonics production, as well as in photonics wafer probing, device packaging, chip testing, and even laser and optical equipment manufacturing. The combination of high speed, nanoscale performance, and industrial robustness reduces costs and improves yield while opening new possibilities for hyper-efficient systems architectures in large-format production processes. PI’s unique optimization functionality is firmware-based, offers parallel alignment across multiple inputs, outputs, and degrees-of-freedom, and can improve process throughput by a factor of 100 or more compared to legacy approaches.

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