Acoustics

What is Passive Acoustic Monitoring

At mobyo.ai, we provide cutting-edge Passive Acoustic Monitoring (PAM)

Passive Acoustic Monitoring is a non-invasive, cost-effective method for studying marine ecosystems. Using underwater microphones (hydrophones), PAM allows scientists and operators to detect marine species, monitor ocean noise levels, and make informed decisions—without disrupting underwater life.

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PAM for Species Detection

Identifying Marine Life Through Sound

PAM helps researchers identify marine animals like whales, dolphins, and fish by capturing their vocalizations in their natural habitat. This allows for long-term biodiversity monitoring, tracking migrations, and protecting endangered species, all while respecting the delicate marine environment.

Biodiversity Monitoring

Migration Tracking

Species Protection

Tools & Data Behind PAM

Hydrophones

The core of PAM is the hydrophone—an underwater microphone that records ambient and biological sound. These specialized devices detect pressure changes from sound waves in water, capturing the full spectrum of marine acoustics.

Rich Datasets

Hydrophone recordings generate rich datasets, including spectrograms that visualize frequencies over time. The result: accurate insights into both natural and human-made underwater sounds, enabling detailed analysis of marine soundscapes.

Advantages Over Traditional Methods

Unlike visual observation or invasive tagging, PAM works remotely and autonomously, making it ideal for a wide range of marine monitoring applications.

Remote & Autonomous

Works in harsh or remote environments without human presence

Cost-Effective

Lower operational costs compared to vessel-based surveys

Species-Specific

Can be calibrated to detect specific marine species of interest

Integrates with Other Data

Combines with satellite imagery and other environmental data

24/7 Operation

Continuous monitoring regardless of weather or light conditions

AI & Machine Learning Integration

Modern PAM systems benefit from AI and machine learning to analyze vast amounts of data quickly and accurately. These technologies allow for real-time detection and classification of species vocalizations—reducing manual work and enhancing conservation outcomes.

Automated Classification

AI algorithms can identify species with increasing accuracy, even distinguishing between similar calls that would challenge human analysts.

Real-time Analysis

Advanced algorithms process acoustic data as it's collected, enabling immediate alerts and response to critical events like endangered species detection.

Sinay's Role in Acoustic Monitoring

Sinay provides an advanced PAM platform powered by AI for automated species detection. Our real-time dashboard processes incoming data, identifies species using pattern recognition, and offers immediate alerts—perfect for industrial operators, researchers, and marine conservationists.

Advanced PAM Platform

AI-powered system for automated detection and classification

Real-time Dashboard

Visualize and analyze acoustic data as it arrives

Pattern Recognition

Identify species and acoustic events with high accuracy

Who Benefits from Sinay's PAM

Industrial operators looking to minimize ecological impact

Research institutions studying marine biodiversity

Conservation agencies monitoring protected species

Port authorities managing underwater noise

Government bodies enforcing environmental regulations

Protecting Our Oceans

PAM plays a vital role in understanding and protecting marine ecosystems. With ongoing innovation in hardware and software, it continues to shape the future of sustainable ocean operations, biodiversity research, and environmental policy.

"The sounds of the ocean tell us more about marine life and health than our eyes ever could."