Listen to your assets remotely 24/7:
Engineers have always been listening to machines, as it is a natural and often effective way to diagnose mechanical issues.
Facilitate quick root cause analysis with sound:
The ability to listen to all your machines simultaneously and focus on irregular behavior from anywhere will empower your maintenance team into surfacing production problems, addressing them and identifying their root causes quickly and effectively.
Anticipate developing failure with patented algorithms:
We created a Predictive Maintenance solution that leverages Deep Learning to analyze the sounds emanating from machines and alert when they are about to malfunction.
Reduce unplanned downtime and critical failure:
The Predisound platform collects sounds and data from industrial equipment, identi es anomalies, classi es patterns of equipment failure and predicts issues before they interrupt production.
Receive real time alerts when your machines are behaving outside of their expected norm:
The PredisoundTM platform assimilates and learns a wide array of dynamic parameters and phenomena that affect machine during their work phase. With high dependability, PredisoundTM will guarantee no missed events.
No contact. No intrusion:
An ultrasonic airborne sensor is placed near the machine. It does not touch any part and can be placed in dynamic or dirty environments. It continuously records all sounds that emanate from the machine. The directional sensor lters out all the background noise and focuses on the target process
Deep learning algorithms:
The sound is transmitted in real-time via secure connection to a cloud environment. A layer of deep learning algorithms analyses the audio signal, detecting anomalies and classifying them. The data can be accessed through a web app from any device, anytime and anywhere, and you can simply listen to your machine as if you were standing right next to it.