Industrial Acoustic Monitoring

Next-Gen Acoustic Analytics for Aerial Safety

Real-time acoustic sensing platform designed to monitor, identify, and track aerial vehicles in restricted commercial areas using distributed IoT sensor networks and cloud-based AI.

Core Technology

Edge IoT Data Collection

Utilizing highly optimized microcontrollers (ESP32 / Arduino architectures) integrated with environmental acoustic microphone arrays. These decentralized sensor nodes act as our primary data gatherers, functioning autonomously in commercial environments with minimal power consumption.

Powered by AWS

AWS Architecture Use Case

Our acoustic telemetry relies on a robust AWS infrastructure to ensure real-time performance and scalability. We utilize AWS IoT Core for secure, bidirectional communication with our decentralized sensor nodes. High-throughput acoustic data streams are processed using Amazon EC2 instances optimized for complex machine learning models, performing real-time sound classification. Processed acoustic signature datasets are durably stored in Amazon S3, empowering continuous training of our predictive audio models.

How It Works

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Step 01

Detect

Edge IoT sensors capture acoustic signatures in real-time using ultra-sensitive microphone arrays powered by ESP32 microcontrollers.

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Step 02

Transmit

Data streams securely to AWS IoT Core via MQTT protocol with end-to-end encryption, ensuring zero data loss at scale.

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Step 03

Analyze & Alert

ML models on Amazon EC2 detect anomalies instantly. Results are stored in Amazon S3 and trigger real-time alerts.

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Detection Latency
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AWS Services Integrated
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Uptime SLA
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Monitoring Coverage

Key Industrial Applications

Critical Infrastructure

Establishing automated acoustic monitoring around power plants, data centers, and heavy industrial facilities to provide an early warning system against unauthorized aerial vehicles or safety hazards.

Commercial Airspace Safety

Rapidly deployable sensor nodes for commercial flight paths and private enterprise facilities. The self-calibrating network helps operations teams ensure localized airspace safety and monitor noise pollution levels.

Wildlife & Environmental

Seamless integration with environmental monitoring databases. SilentSeek acts as a passive sensing layer, tracking unauthorized activity in protected nature reserves and preventing poaching through advanced audio profiling.

About Us / Founding Team

Denys Germanovich

Founder & Embedded Systems Developer

A cybersecurity student and dedicated developer of modern IoT sensing systems. Combining deep expertise in embedded hardware with cloud-native architectures, Denys founded SilentSeek to address the need for commercially available, high-precision acoustic monitoring. His mission is to democratize advanced sound analytics for industrial safety and critical infrastructure protection.

Platform & Functionality

Built for Enterprise-Grade Monitoring

Our AWS-powered backend delivers real-time spectrograms, anomaly detection, and early-warning security insights — all from a single dashboard.

SilentSeek System Architecture: ESP32 → AWS IoT Core → EC2 → S3 → Dashboard

Live Spectrograms

Visualize low-frequency acoustic signatures in real-time. Detect engine noise, rotor signatures, or unidentified audio patterns the moment they appear.

Automated Alerting

Set custom dB thresholds and acoustic frequency signatures. Receive instant notifications via AWS SNS — SMS, email, or webhook — the moment a threat is detected.

Fleet Management

Deploy over-the-air (OTA) firmware updates to the entire ESP32 sensor network. Monitor sensor health, battery level, and uptime from one central dashboard.

Applications

Industrial Use Cases

SilentSeek's non-invasive acoustic technology can be deployed across various sectors without altering existing machinery or compromising data security.

Critical Infrastructure Protection

Safeguard energy grids, substations, and large-scale factories by deploying a distributed acoustic network that detects approaching aerial threats or perimeter breaches long before visual contact.

  • Energy & Power Grids
  • High-Value Industrial Facilities

Wide-Area Airspace Monitoring

Secure the skies above restricted commercial zones. Our ESP32 sensor grid analyzes acoustic signatures of low-altitude engines and UAVs, triangulating their trajectory to trigger early-warning systems.

  • Early Warning & Triangulation
  • Unmanned Aerial Vehicle (UAV) Detection

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