AiSight develops a solution utilizing artificial intelligence algorithms to determine the state of a machine in real-time, predict errors and dynamically regulate the machine parameters based on sensor data. The solution consists of both hardware and software components.
The hardware is an easy-to-install (AiSight Sensorkit) device that includes a variety of sensors and is optimized to allow Plug & Play installation within minutes without specialized expertise.
The AiSight software uses ma- chine learning models to value the condition of a machine, identify anomalies and determine causes of errors based on patterns and physical parameters in the sensor data. The key algorithm of this solution is “acoustic fingerprinting”, in which physical parameters are extracted from the sensor data in order to identify patterns.
The software is based on a self-learning approach: our algorithm that can quickly re-learn unknown anomalies and therefore requires far less training data.
Deep Tech, Software, Hardware, IoT, KI
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