Spotlights on Three Exhibitors from CVPR 2022

The team at Retrocausal built a computer vision platform that allows any manufacturer to rapidly set up an activity recognition pipeline to assist with manual assemblies. Using any standard camera pointed at an assembly station, the system can learn the assembly procedure and give real-time feedback. At Deci, they are tackling the problem of taking a Machine Learning model optimized for a single hardware platform and adapting it to work on a different hardware platform. When developing an ML model running on the edge, a time-consuming development cycle is made to optimize the model to run at peak capacity. However, over time hardware platforms get updated and companies need to make the decision of whether or not to update their hardware and dedicate engineering resources to manually tweak a multitude of settings.