We continuously train our computer vision models through our learning engine to improve accuracy of our alerts. Our AI errs on the side of generating an alert when in doubt, rather than suppressing it. Based on our experience, on average 95% of the alerts are suppressed. Accuracy rate varies based on implementation.  We therefore offer a trial period for customers to ensure the accuracy level meets their expectations.