Whereas in the past, nearly 90% of alarm reports turned out to be false in a number of elderly facilities, locations using Kepler Vision with our solution expect the rate of alarm to fall from 3,000 to between just 60 and 80 per night. What’s more, the solution can scale data processing quickly and securely to potentially hundreds or thousands of sensors per institution. This solution has also helped increase the knowledge and experience of combining machine learning and artificial intelligence for mission-critical operations to software solutions developed for other care settings. It can also apply these learnings to other industries. For example, the vision-based human activity recognition software vision could monitor worker falls in heavy industry locations, where large machines and noise make it harder to report or detect injuries, or ensure that staff are wearing personal protective equipment.