Welcome to Neuron Soundware’s Case Studies Hub, where you can explore our case studies and success stories. Dive into inspiring narratives showcasing how our AI-driven sound analysis technology is revolutionizing industries. Discover real-world transformations and the remarkable power of sound analysys in our case studies and success stories.
In the past operators tested the quality of the window regulators via listening. This meant the testing approach was dependent on the human factor and listening by ear. The manufacturer decided to replace this manual and demanding method by automatic system delivered by Neuron Soundware.
A leading manufacturer of automotive subassemblies required a rapid end-of-line automatic test bench to ensure the quality of the entire product.
An IoT sensor-equipped nGuard solution monitors both the gas engine itself and the generator. Alerts are sent to the plant operators to either turn the engine off or schedule maintenance – based on suggestions from our diagnosticians.
High-speed drawing of copper coated material risks damage to a critical die, leading to costly production wastage. NSW's innovative solution ensures real-time monitoring, preventing deviations and enhancing efficiency.
A customer faced challenges in achieving consistent granular specifications during 18-hour milling cycles, resulting in quality issues and wastage. The NSW AI and Machine Learning solution was implemented to monitor the milling process, optimizing particle size and reducing production time by 2 hours per batch. This led to an 11% efficiency boost, reduced wastage, and enhanced supplier credibility.
A collaboration with NeuronSW involves utilizing IoT for tracking acoustic emissions from bearings, mechanical seals, and reactor shells. NeuronSW manages hardware installation, data acquisition, ML algorithm training, and service deployment. The project aims to enhance reactor agitator monitoring, benefiting from NeuronSW’s expertise in acoustics, software, and hardware development.
Addressing additive manufacturing challenges, the NSW solution offers real-time monitoring of 3D printers using acoustic signatures, images, and physical data. This innovation detects material faults during printing, curbing wastage, enhancing quality, and boosting efficiency. Benefits include material savings, reduced post-production testing, heightened productivity, profitability, and supplier reputation.
