BLUEIQ transforms undersea sounds into actionable intelligence using low-power, edge-AI acoustic sensing technology. Their OpenEar Acoustic AI Sensor provides real-time, autonomous monitoring for defense, offshore energy, and maritime security applications. This technology enhances underwater domain awareness, supports biodiversity protection, and detects underwater radiated noise.
Funding
Funding not disclosed
Founders
Product
Problem
Shipping vessels pose a significant threat to marine mammals through collisions, also known as vessel strikes. Additionally, anthropogenic noise from maritime activities disrupts marine ecosystems and can compromise port security. Traditional hydroacoustic monitoring systems are often bulky, expensive, and require significant power, limiting their deployment and effectiveness.
Solution
BLUEiQ develops compact, low-power, software-defined hydrophones that leverage on-the-edge machine learning for real-time passive acoustic monitoring. These hydrophones enable the detection and identification of marine mammals, allowing for proactive measures to prevent vessel strikes. By continuously monitoring underwater soundscapes, BLUEiQ's technology also helps to reduce anthropogenic noise pollution, contributing to biodiversity protection. Furthermore, the system enhances port security by detecting unusual underwater acoustic signatures.
Target Audience
BLUEiQ's primary customers include marine biologists, environmental agencies, port authorities, and shipping companies seeking to mitigate the impact of maritime activities on marine ecosystems and enhance port security.
Features
- Low Size, Weight, and Power-Cost (SWaP-C) design for easy deployment on various platforms
- Software-defined architecture for flexible configuration and algorithm updates
- On-the-edge machine learning for real-time acoustic event detection and classification
- Passive acoustic monitoring capabilities for marine mammal detection and anthropogenic noise assessment
- Data logging and transmission capabilities for remote monitoring and analysis
- Customizable alert thresholds for triggering notifications based on detected events