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Reduce high process monitoring costs.
Get rid of production waste
Your production line assembles hundreds of units daily. You need to test each each assembled unit for quality at the end of the line.
Then the quality control automation and replacement of human judging approach by IoT device and AI will save you both scrape parts and testing costs. Let us show you how.
Use AI and machine learning algorithms
for higher testing efficiency
Connect IoT hardware with a cloud to process information from all machines you have on a shop floor. Here is what you get in case of one of our customers:
Improved data consistency
Real-time failure detection
Energy and equipment cost savings
5 steps for confident online
condition based maintenance
Neuron soundware provides you with all necessary equipment and knowledge to start real-time remote monitoring within hours from nEdge IoT device delivery.
The automated data collection allows you to manage your maintenance based on valid and accurate data and thus optimize your maintenance processes.
Easy setup allows for the service to start in a few days.
24/7 data collection, immediate results in nGuard platform.
Continuous algorithm improvement.
Smart alerts allow you to focus your efforts.
Full OEE and utilization data.
Ready to start output testing
process optimisation with AI?
Follow our customers’ experience
with your plant
„This Neuron system is a vital tool that will be very helpful in the future for Maxion“
“The cost savings of using the predictive analytics and alert detection alone will more than pay for the cost of the service not to mention the costly rental fees and downtime that is accrued when compressors go down. Mieszko and his Team provide a great service and product that is well appreciated by the Maxion Team.”
Industrial Control Specialist
Iterative approach to deliver
the best solution for your needs
Our Acoustic Academy methodology is designed for cooperation for medium and long-term custom service development.
At the beginning we set up the initial meeting to agree the first goals and milestones.
To make data driven decisions we provide you all machine data processed to easy to read information from any device
Identify bottlenecks through machine health fleet management
All machines at one management dashboard. Uptime and downtime over all assets to help you improve production efficency.
Transparent machine history at one look
Investigate whether the machines were working according to the plan. Check the detected alerts.
The monitoring of complex machines with multiple components requires the installation of several sensors. Use sensor level drill-down view to understand component level health.
The most recent use cases
of product readiness
Production efficiency increased by 11% thanks to switching from a defined cycle to a ready-product-driven cycle will result in an average saving of 1–2 hour.
AI employed in wire production
The tools used for a metal wire production get wore and teared. AI technology helps to detect blunting tools and saves a significant amount of material that would become scrap otherwise.
Car rim end of line testing project helps to detect faulty products. Remote sound monitoring delivers an alert when a defective product appears on the line.