In this recording we share how SpringML leverages Machine Learning to create social distancing compliance solutions leveraging Google Cloud Vision AI. Our frameworks allow for rapid detection from any video feed when people are not wearing personal protective equipment (PPE) or complying with social distancing guidelines.
In this report, we compare two technologies that have come out of Google for managing machine learning Pipelines. The first is Kubeflow, which has been in development since 2018 and was originated as a way of bringing the ideas of TFX (used only internally at Google at the time) to the public via open source tools and is in the process of changing as many developments as open source tools come and go. The second is TensorFlow Extended (TFX) itself. Google announced that it would be making TFX available to the public at the end of 2018.