End User Benefits
End users of Brainlike sensing technology benefit most from reduced total operating costs, which are most influenced by the following factors:
Better incident detection
The purpose of a monitoring system is to trigger actions for preventing incidents that could cost money and endanger lives. Many studies (cited in our reference list) have shown that Brainlike sensing can significantly reduce costly incidents by providing clearer signals that they are about to happen.
Ample lead time
Warnings often show up only after costly incidents have already occurred. By contrast, Brainlike sensing provides more lead time by rapidly adapting to changing conditions — another Brainlike Advantage.
Lower false alarm rates
In order to recognize developing problems quickly, conventional monitoring systems must often be tuned to such high sensitivity levels that they generate many false alarms in the process. In fact, responding to false alarms can often cost more than not responding to valid alarms. Being able to identify costly incidents with fewer false alarms is yet another Brainlike Advantage.
Reduced staffing and training costs
Since responding to false alarms nearly always requires personnel intervention, being able to identify costly incidents while reducing false alarms translates directly into reduced staffing costs. Moreover, being able to display developing incidents with better clarity means reduced training costs. Brainlike sensing reduces substantial costs in applications that must run very efficiently on energy and bandwidth constrained remote sensors, upstream of telemetry. This is the most measurable Brainlike Advantage.
Brainlike makes sense
Operators, tactical advisors, and operational commanders must often decide whether to respond to a perceived threat, proceed as usual, or gather more information. Often, their decisions must be made from fuzzy, cluttered, and imprecise images that have been generated from outdated information. Brainlike sensing delivers clearer leading indicators of developing problems, by continuously learning from information as quickly as it arrives.
Huge overall savings
This link describes how return-on-investment analysis supports our claim that Brainlike sensing adds major value for many monitoring operations.
