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"SBIR Phase II: A Manufacturing Monitoring System Using Sound Spectrograms and Artificial Intelligence" is currently closed and not accepting applications.
SBIR Phase II: A Manufacturing Monitoring System Using Sound Spectrograms and Artificial Intelligence is sponsored by National Science Foundation (NSF). This Small Business Innovation Research (SBIR) Phase II project aims to develop a sound-based AI sensing technology for machine condition monitoring in the manufacturing sector.
It merges Industrial IoT (IIoT) with advanced AI to provide real-time health and status updates for industrial machinery, enhancing quality and productivity. The project focuses on creating a "machine speech" recognition system to decode internal machine sounds for predictive maintenance and improved operational understanding.
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Or search similar grants →According to the current listing, eligibility includes: U.S.-based small businesses with fewer than 500 employees, at least 50% U.S. citizen/permanent-resident ownership, performing all work in the U.S., with a Principal Investigator committing at least 20 hours/week. Confirm the full requirements in the official notice before applying.
The current listing shows up to $1,250,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was May 31, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
SBIR Phase II: A Manufacturing Monitoring System Using Sound Spectrograms and Artificial Intelligence is funded by National Science Foundation (NSF). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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