In short, what happens is Verdafero's processing center, using machine-learning, establishes what is "normal" so when something goes awry, the high-level, high-speed processing computers know about it. An alert is then sent to a security integrator's Central Monitoring Station (CMS) who in turn will act according to a predetermined menu of priorities, much as they already do for commercial clients with respect to video verification and general burglar and access control functions.
For example, using Verdafero, management of the Hilton Concord, a hotel located in the suburban community of Concord in the East Bay of San Francisco, now has the ability to track, analyze and report on all of the hotel’s overhead utility expenses at the touch of a button.
"Analyzing large amounts of electric, gas, water, waste data and Carbon Footprint for a large hospitality property on a monthly basis can be very challenging. Individual utilities have inconsistent billing periods and operate on varying billing cycles further complicating the reporting process. Add into the equation different utility providers supplying the same resource, it becomes an even greater challenge" (https://bit.ly/33bP88Q).
Another example is the need to monitor the quality and quantity of electrical energy that feeds a high-priced machine in manufacturing. By using Verdafero's SaaS, it's possible to detect problems well ahead of an actual breakdown, thus saving the client money in additional costly repairs. This allows the client to determine when it's the best time to disrupt production for routine maintenance.
To learn more about Verdafero's Cloud-based analytical processing service, download "Monitoring Utilities and IoT," available here: