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Take advantage of unique AI sound detection technology for improving your process
Machines make thousands of different sounds and these sounds can vary in different situations and phases of the manufacturing process. Our technology can be used where particular states or trends manifest through sound.
Examples

Acoustic detection of product readiness

Acoustic detection of upcoming failures

Acoustic detection of mechanical faults
How does it work?
We attach an industrial IoT device to the machine or a selected part of it. The collected data are then AI processed and displayed in a simple dashboard. The end-to-end process coverage guarantees flawless technology utilization. From installation to data processing and guidance, we are in the heartbeat of the customer process. The in-depth process observation and knowledge enables you to benefit from not only initial improvement but continuous improvement as well.
1. Collect sounds and data

2. Convert to predictive models
3. Monitor. Optimize. Assess.

We deliver all-in-one solutions.
From installation to data evaluation.
1. Easy installation and configuration.

1. Easy installation and configuration.
Service can begin right after installation and configuration. Data collection and processing are done through a powerful industrial IoT device. Sensors capture the real-time sound of the machine and/or material.
First, the system must collect data on standard operation and calibrate the AI models, and then it can begin the monitoring service.
2. Remote Online Process Monitoring

2. Remote Online Process Monitoring
Gain insights into the monitored process anywhere, anytime. Enjoy an intuitive user interface to observe your process in real-time in an actionable level of detail. Machine learning will be used to predict product/process status, quality, and time-to-ready of the monitored processes.
3. Smart Notifications

3. Smart Notifications
Receive automatic notifications (e-mail/text message/portal info) in alignment with your process performance expectation and nominal measurement comparison (eg: information coming that the product is ready to move to the next process step).
4. Process Optimization

4. Process Optimization
Act in accordance with data provided (eg: stop the process, release the material, etc.). By incorporating learned AI, you can better plan, prioritize and save the time of your workforce and material/energy costs.
5. Digital Transformation of Process Monitoring

5. Digital Transformation of Process Monitoring
Our solution will continuously improve your process performance with always learning AI. The longer you use Neuron soundware monitoring, the more AI knows your process, and the better and more accurately it can communicate information and recommendations for your process engineers.