3DSignals: Machine Ears Hear Defects Before They Happen

Feb 03 2017

3DSignals is an equipment predictive maintenance platform that harnesses the power of deep learning algorithms to determine, through acoustic monitoring, the status of production line machinery.

The system consists of wireless ultrasonic sensor modules, which are mounted near rotating equipment, which send acoustic data to the cloud where it is analyzed and reports are generated to be sent to the user in the form of notifications, alerts, or performance reports.

The real-time analysis of the acoustic data collected will allow facility managers to plan for downtime and increase operational efficiency significantly.

“3DSignals’ team brings unique expertise in deep learning around acoustics into the industrial IoT space, and they’ve been able to transform proprietary acoustic data into meaningful insights and clear and quick ROI for various traditional industries,” said Lotan Levkowitz, 3DSignals board member and Partner at Grove Ventures.

More Details


+ 3DSignals received a $3 million investment in late 2016 from Grove Ventures.

+ Users have access to real-time alerts and access to live sound streams and reports 24/7 on desktop or mobile from any remote location.

+ Once “trained” and familiar with the patterns of the machine it monitors, 3DSignals can predict specific problems with 98% accuracy.

Additional Coverage

- http://readwrite.com/2017/01/26/3dsignals-decipher-machine-maintenance-with-sound-analytics-il1/

- http://www.prweb.com/releases/2016/10/prweb13738128.htm

- http://spectrum.ieee.org/automaton/robotics/artificial-intelligence/deep-learning-ai-listens-to-machines-for-signs-of-trouble

3DSignals: Machine Ears Hear Defects Before They Happen cover image