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.
Deci allows companies to upload their models to the cloud, then automatically optimize them for running on a variety of different hardware platforms that they own in their facilities.
Dr. Eric Wengrowski co-founded StegAI after publishing a paper in CVPR 2019 on embedding “fingerprints” that are embedded in images and videos that are invisible to the human eye, but detectable by their software.
Their product modulates the pixels in an image in such a way that even after compressing, resizing, or printing out the images, their deep learning algorithms will still be able to detect the origin of the image.
This powerful tool is used by social media firms to protect against potential copyright infringement when users upload content to their platforms