This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Development of Real-Time Hydroacoustic Data Analysis Platform with IoT Integration

halo-lab.com

Information technology

IoT

Environmental Services

Data Analytics

Marine Data Processing Challenges

Fishermen and ocean scientists face difficulties in analyzing dense hydroacoustic data streams from multiple ships equipped with echosounders. Existing solutions lack centralized processing capabilities, real-time visualization, and efficient collaboration tools. Competitors' platforms also fail to align with modern digital trends, hindering user adoption and scientific impact.

About the Client

Norwegian software engineering consultancy specializing in full-stack web applications and open-source platforms for ocean research, focusing on hydroacoustic data analysis and real-time marine data processing.

Key Project Goals

Create a centralized system for real-time hydroacoustic data collection and processing from multiple maritime sources
Develop intuitive local data visualization tools accessible via ship networks without internet dependency
Implement Azure IoT Edge automation for streamlined infrastructure management and module deployment
Establish cross-platform collaboration features for marine researchers and industry stakeholders
Modernize UI/UX branding to reflect technological innovation and digital orientation

Core System Capabilities

Multi-source data aggregation from echosounders and vessel sensors
Real-time fish species identification and biomass quantification
Local network dashboard for offline data visualization
IoT Edge module management via Azure REST API
User profile system for saving and organizing data collections
Collaboration tools for shared analysis and discussion threads

Technology Stack

Azure IoT Edge

Node.js with TypeScript

React for frontend

Docker containerization

R Shiny for data visualization

Azure REST API

System Integrations

Vehicle telemetry systems from automotive partners (Stellantis, Mercedes, BMW)
Azure IoT Hub for cloud synchronization
Third-party echosounder hardware APIs
Cross-architecture IoT device deployment tools

Operational Requirements

Scalable architecture for pan-European expansion
Real-time processing latency under 500ms
High-availability local network operation
Military-grade data encryption for sensitive marine data
Cross-platform compatibility for maritime hardware

Anticipated Business Outcomes

The solution will position PineView as a leader in marine data analytics by enabling 48,000+ connected vehicles to contribute to ocean research. Automated Azure infrastructure management will reduce deployment time by 60%, while the modern UI/UX is projected to increase user adoption by 215% growth over three years. The platform will facilitate cross-industry collaboration between automotive, environmental, and research sectors, creating new revenue streams through data-as-a-service offerings.