Reliable detection of noise anomalies
Use AI-powered acoustic testing to detect defects early, reduce scrap, and standardize inspection processes—powered by STACKIT in a secure cloud environment.
Measurable benefits: Less scrap, greater stability, lower testing costs
Use AI-based noise analysis to identify defects as early as the development, pilot production, and end-of-line inspection stages. This allows you to measurably reduce scrap, rework, and warranty costs.
- Earlier defect detection: Reduce scrap and rework rates by identifying anomalies as early as the initial stages of the value chain
- Higher process stability: Achieve consistent quality assessments and improve the repeatability and reproducibility of tests.
- Fewer complaints: Improve product quality and customer satisfaction through acoustically and functionally stable products with lower return rates.
- Reduced testing effort: Replace manual audit loops with automated, 24/7 monitoring—even during single-shift operations.
- Cost savings on destructive testing: Reduce expensive material testing by intelligently correlating measurement data and optimizing test protocols.
Solution: AI-powered acoustic testing with SOUNCE on STACKIT
Rely on SOUNCE, an AI-powered solution for the automated capture, analysis, and evaluation of noise, vibrations, and process data—seamlessly operated on STACKIT. Sensors, deep learning models, and a cloud-based platform form an end-to-end testing process from data capture to objective evaluation.
SOUNCE integrates flexibly into development, in-line, and end-of-line test benches and uses cloud-based AI services for continuous retraining, scalability, and uniform testing criteria. Typical applications include the acoustic evaluation of components and systems, materials testing, process monitoring, and mechanical function tests—for standardized, data-driven quality assurance.
Competitive Advantage: Standardized Quality, Smart Scaling, Data Sovereignty
Strengthen your market position with objective, reproducible acoustic evaluation and scalable testing processes. Leverage the combination of a specialized AI solution and a sovereign cloud to future-proof your quality strategy.
Objective quality decisions
Replace subjective noise assessments with AI-based, transparent criteria and establish company-wide standards.
Rapid scalability
Use SOUNCE’s microservices architecture to quickly integrate new product lines, components, or testing processes.
24/7 Quality Assurance
Continuously monitor critical processes—regardless of shift schedules and staff availability.
Contribution to the Smart Factory
Establish proactive, automated, and intelligent quality assurance as a central component of your Smart Factory roadmap.
Seamless data management
Benefit from European data sovereignty, compliance, and control over your sensitive production and quality data on STACKIT.
Foundation: SOUNCE on the STACKIT Cloud
Build your acoustic and vibration analysis on a scalable architecture where the AI-powered all-in-one solution SOUNCE automatically captures, analyzes, and evaluates noise, vibration, and process data—operating on STACKIT’s sovereign cloud infrastructure.
Industrial Sensing
Capture noise and vibrations directly from machines and test benches and automatically transfer this data to the analysis platform.
Cloud-Based AI Services
Leverage cloud-based deep learning models for acoustic anomaly detection, continuous retraining, and centralized model management.
Scalable compute and storage resources
STACKIT provides you with the computing power and storage you need, tailored to your requirements—from pilot projects to global rollouts.
Flexible Integration
Integrate SOUNCE with existing test benches, MES, and quality systems via APIs, and use web-based interfaces for evaluation and documentation.
Microservices Architecture
Expand your solution incrementally to include additional inspection processes, locations, or product lines without monolithic overhauls.
Frequently Asked Questions (FAQ)
What are the prerequisites for getting started?
You need a basic network infrastructure at relevant test sites and the ability to install and connect sensors. The AI-powered solution runs in the STACKIT Cloud, so no extensive local IT investments are required.
How does the solution integrate into existing systems?
SOUNCE integrates via interfaces into existing test benches, MES, and quality systems, and supplements existing testing processes with AI-based acoustic analysis. Results and key metrics can be integrated into your established reporting and monitoring landscapes.
When will the first benefits become apparent?
You will typically see initial results after a short time, once sufficient data has been collected and the AI models have been trained. Reduced scrap, less rework, and more stable quality metrics often become apparent quickly, particularly in sensitive acoustic and vibration applications.