Retrocausal technology adopted by the leading semi-trailer, the top earth-moving equipment, and the oldest farming equipment manufacturers.
Traditional machine vision solutions focus on high-volume production where a fixed product, such as an iPhone gets assembled in very large quantities. In contrast, our customers have product portfolios comprising of 10s of 1000s of product variations.
A key challenge for automated quality control in mass-customized production is the need for 1000s of "training images" for every product variation coming down the line. We eliminate this need by defining compositional product models where machine learning algorithms are trained on sub-assemblies and combined together for individual build orders extracted from the Manufacturing Execution System (MES).
We work with manufacturers to integrate our solution into existing MES systems, or provide custom barcode solution where our platform identifies each individual build order.
Our Pathfinder platform builds compositional models of a variable physical assembly task, given only a handful of recorded demonstrations of the task. Once such a model is built, Pathfinder can finely track the job status from live video, to guide a worker through the task, provide independent training, and perform analytics. Instead of requiring a team of specialized computer vision engineers to build custom interactive experiences that can track the steps a worker successfully performed which takes months, we enable such AI-driven feedback to be set up in hours by ordinary manufacturing engineers.
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