Typical large operations receive raw data streams from tens of thousands of sensors. One must surmount several challenges to turn these raw streams into high-quality data:
Noise in individual sensors, rendering
data imperfect in unpredictable ways
Huge volume of data being generated, at a high rate
Sensor fusion, or how to consistently and coherently merge data from many sensors
Hidden variable discovery, i.e. recovering indirect or inferred information from sensed data
High quality data, once obtained, is used for decisions. Long term decisions fall in the domain of optimization. Decisions to be taken almost instantaneously fall under the purview of “control”. Taking and actuating optimal decisions every instant is challenging, requiring careful engineering and advanced mathematical algorithms.
THE RIGHT MIX OF TECHNIQUES
The field of sensing and control evolves rapidly, making it hard to devise optimal solutions. We help clients find the right mix of techniques from the kaleidoscope of options available. And we invent new ones when nothing suitable exists.