The University of Southern Mississippi

Buyer seeks five low-power relocatable Maritime Domain Awareness systems with acoustic, machine learning, and AI capabilities. Systems must support detection, classification, and localization programs. Buyer requires low-cost, autonomous sensors deployable from various platforms without recovery expectation. Systems should provide situational awareness in maritime conflicts and integrate with other unmanned systems.

• 10/9/2024 - Proposal Due Date

• Proven record of developing broadband hydrophones and ML/DCL software for UUVs, USVs, and buoys
• References for similar systems operated successfully within the last 2 years

• Conduct system tradeoffs studies for power over data interfaces and design
• Perform processor selection, testing, and benchmarking
• Optimize firmware to provide detection, classification, and localization (DCL)
• Develop dashboard for customization of alerting and analysis of hydrophone data
• Create Application Programming Interface for sensor fusion and analytics using ML and AI
• Provide interface surface box with cellular modem connection for each system
• Conduct data collection and ocean testing to demonstrate DCL performance
• Deliver final design and performance report
• Provide training on operation, software, maintenance, troubleshooting, and integration
• Supply complete system, DCL software packages, and product documentation