Case Study: Canetia Analytics detects structural anomalies in real time with WhiteBox

Canetia Analytics detects structural anomalies in real time with WhiteBox

Canetia Analytics, a startup dedicated to increasing structural safety, faced the challenge of transforming vast amounts of vibration data from their specialized accelerometers into an intelligent real-time system for identifying structural irregularities. They partnered with WhiteBox to develop a solution.

WhiteBox created a comprehensive system that unifies IoT data into an analytical database. They developed deep learning models, specifically autoencoders using TensorFlow, to discern structural anomalies with great precision by evaluating signal discrepancies. The model excelled in identifying the size and location of anomalies and is now in a pilot testing phase in the Los Angeles subway, highlighting its commercial viability.

Canetia Analytics