As Augmented Reality (AR) technologies improve, we are starting to see use cases that stretch beyond marketing and simple visualizations. These include product visualization, remote assistance, enhanced learning, quality control and maintenance as will be discussed in this article
When machine learning techniques are used in “mission critical” applications, the acceptable margin of error becomes significantly lower.
Imagine that your model is driving a car, assisting a doctor or even just interacting directly with an (perhaps easily annoyed) end user. In these cases, you’ll want to ensure that you can be confident in the predictions your model makes before acting on them.