SubsidieMeestersNeuron Soundware: detecting machine failures early combining sound, AI and IoT technologies
NSW is an AI-driven diagnostic technology that detects machine faults early through acoustic analysis, enhancing industrial sustainability with 99.6% accuracy and minimizing downtime.
Projectdetails
Introduction
NSW is an AI-based acoustic and vibration diagnostic technology for early detection of broken machines and process monitoring, providing unparalleled insight into the operation of mechanical systems.
Disruption in Machine Diagnosis
Combined with its large-scale applicability and ease of use, it disrupts the way machines are diagnosed, facilitating industrial sustainability and catering to the needs of Industry 4.0.
Technology Overview
Our technology acts as an auditory cortex, understanding audio signals and detecting salient problems, delivering highly reliable results with 99.6% accuracy.
Integrated Hardware and Software
NSW's integrated hardware with embedded edge software and cloud-based software platform automatically detects machine faults before other methods, preventing costly downtime and unnecessary maintenance.
Proprietary Audio Dataset
Our detection process utilizes our proprietary audio dataset, which contains terabytes of data and is continuously expanded with each new anomaly, improving the accuracy of the algorithms, the faults addressed, and the types of machines.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 2.500.000 |
| Totale projectbegroting | € 3.655.813 |
Tijdlijn
| Startdatum | 1-2-2023 |
| Einddatum | 31-12-2025 |
| Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- NEURONSW SEpenvoerder
Land(en)
Vergelijkbare projecten binnen EIC Accelerator
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|---|---|---|---|---|
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"The NIMBLE System: A novel non-invasive and non-ionizing medical device for the continous monitoring of patients with implanted cardiovascular stents"""NIMBLE Diagnostics is developing a microwave-based device for non-invasive stent monitoring, aiming to shift from reactive to proactive care and improve patient outcomes. | EIC Accelerator | € 2.306.500 | 2024 | Details |
Autonomous robotics and digital TWIN to improve water network performancesThe project develops a robotic inspection system for water utilities, enabling autonomous pipeline assessments to enhance water quality and sustainability through a subscription-based RaaS model. | EIC Accelerator | € 2.478.210 | 2024 | Details |
Toopi Regen: Unleash the power of urine to finally scale a real closed loop and regenerative farming systemToopi Organics aims to revolutionize agriculture by up-cycling human urine into sustainable biostimulants, reducing reliance on mineral fertilizers while enhancing soil health and farmer profitability. | EIC Accelerator | € 2.396.457 | 2024 | Details |
A new cardioprotective drug for acute treatment of myocardial infarction
ResoTher aims to validate RTP-026, an immunomodulating therapy, to reduce heart damage and HF risk post-myocardial infarction through Phase II clinical studies.
"The NIMBLE System: A novel non-invasive and non-ionizing medical device for the continous monitoring of patients with implanted cardiovascular stents"""
NIMBLE Diagnostics is developing a microwave-based device for non-invasive stent monitoring, aiming to shift from reactive to proactive care and improve patient outcomes.
Autonomous robotics and digital TWIN to improve water network performances
The project develops a robotic inspection system for water utilities, enabling autonomous pipeline assessments to enhance water quality and sustainability through a subscription-based RaaS model.
Toopi Regen: Unleash the power of urine to finally scale a real closed loop and regenerative farming system
Toopi Organics aims to revolutionize agriculture by up-cycling human urine into sustainable biostimulants, reducing reliance on mineral fertilizers while enhancing soil health and farmer profitability.
Vergelijkbare projecten uit andere regelingen
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Hybrid and Interpretable Deep neural audio machinesHI-Audio aims to develop hybrid deep learning models that integrate interpretable signal processing with neural architectures for enhanced audio analysis and synthesis applications. | ERC ADG | € 2.482.317 | 2022 | Details |
Natural Auditory SCEnes in Humans and Machines: Establishing the Neural Computations of Everyday HearingThe NASCE project aims to understand auditory scene analysis by developing the Semantic Segmentation Hypothesis, integrating neuroscience and AI to enhance comprehension and applications in machine hearing. | ERC SyG | € 8.622.811 | 2025 | Details |
RESONIKSHet project gebruikt Machine Learning en AI voor snelle, operatorloze akoestische kwaliteitsinspecties, wat de doorlooptijd en kwaliteit verbetert en de reputatie en omzet van bedrijven verhoogt. | MIT R&D Samenwerking | € 188.300 | 2023 | Details |
Haalbaarheidsonderzoek naar een automatische rapportagemodule geluidsbelevingSA onderzoekt de economische en technische haalbaarheid van een nieuwe automatische rapportagemodule voor geluidsvisualisatie, met als doel toonaangevend te worden in soundscape technologie. | MIT Haalbaarheid | € 20.000 | 2023 | Details |
Hybrid and Interpretable Deep neural audio machines
HI-Audio aims to develop hybrid deep learning models that integrate interpretable signal processing with neural architectures for enhanced audio analysis and synthesis applications.
Natural Auditory SCEnes in Humans and Machines: Establishing the Neural Computations of Everyday Hearing
The NASCE project aims to understand auditory scene analysis by developing the Semantic Segmentation Hypothesis, integrating neuroscience and AI to enhance comprehension and applications in machine hearing.
RESONIKS
Het project gebruikt Machine Learning en AI voor snelle, operatorloze akoestische kwaliteitsinspecties, wat de doorlooptijd en kwaliteit verbetert en de reputatie en omzet van bedrijven verhoogt.
Haalbaarheidsonderzoek naar een automatische rapportagemodule geluidsbeleving
SA onderzoekt de economische en technische haalbaarheid van een nieuwe automatische rapportagemodule voor geluidsvisualisatie, met als doel toonaangevend te worden in soundscape technologie.