Bottleneck recognition analytics for manufacturing

The Challenge

Pacefactory’s AI project aims to optimize automotive manufacturing efficiency by integrating AI with video analytics to identify bottlenecks in production lines. This will accelerate production and address supply chain issues and improve manufacturing efficiency. The solution involves a bottleneck recognition AI model and a machine vision model to classify motion paths, combined with MES data for bottleneck analysis. This will enable targeted improvements in resource allocation, process streamlining, and training, enhancing overall production line performance.



Scale AI investment


Total investment


"The collaboration between Pacefactory and our esteemed partners exemplifies our commitment to driving innovation and excellence in the Canadian automotive industry."

— Sean Clare, co-founder, Pacefactory
Made possible through the
financial support of
Gouvernement du Québec
Gouvernement du Canada

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