Video and AI crafts data-driven insights for the commercial fishing sector

The challenge

Use technology to improve the verification of data collected from fishing vessels.

The solution

Converged technologies including IoT, AI and machine learning, cloud computing, and data and analytics, delivered in a single supplier operating model through Spark Business Group.

The results

Independent data collection that reinforces confidence in our fishing industry's sustainability and enables more decisive management decisions.

On-board camera systems to support sustainable fisheries 

Spark Business Group is combining video capture with IoT and an AI-powered cloud platform for better data processing and analytics. The on-board camera systems provide data that is later reviewed and analysed by trained MPI staff to verify and support fisher reporting of in-scope fishing activities. 

Three big benefits 

Improving processing efficiency through 4G connectivity: Automatic data transfer occurs via Spark's 4G network when vessels are in range, eliminating the need for manual downloads while in port.   

Streamlining data capture with AI technology: The system automatically captures data when relevant fishing activities occur, optimising storage and streamlining the review process. 

Advancing sustainable fishing practices: The collected data strengthens New Zealand's sustainable fisheries management and enhances the sector's international standing. 

From ocean to cloud

The Challenge:
Collecting data from hundreds of vessels across New Zealand's commercial inshore fishing areas presented significant logistical hurdles. The traditional method of manually transferring data via external hard drives when vessels returned to port was inefficient and resource-intensive. A real-time solution was needed to streamline this process.

The Solution:
Leveraging Spark's 4G network, we implemented an automated data collection system. Each vessel is equipped with an integrated technology package comprising of on-board cameras, a marine-grade antenna, a display monitor, and a YellowFin unit for data encryption. Data is automatically and securely transmitted via Spark's mobile network to an AWS Cloud platform, developed by Spark Business Group's cloud division CCL.

Smart Technology:
The system uses advanced activity recognition algorithms to optimise data collection, activating only during relevant fishing operations. All data is encrypted to ensure privacy and security.

Data Analysis:
MPI analysts access a secure web platform to review time-stamped data alongside electronic fishing reports, enabling efficient verification of reported activities.

Future Development:
The AI roadmap includes plans to enhance the system's capabilities through automated species recognition, optimised data processing, streamlined reporting systems, and improved storage efficiency.

Technical Architecture:
The platform utilises AWS SageMaker for machine learning capabilities, Timestream for serverless time-series database management, Lambda for serverless computing, and IAM for secure access management. AppStream delivers the secure web interface, allowing analysts to access and review data efficiently.

Helping lead the way   

Scale and Impact:
The system will be operational on up to 300 inshore commercial fishing vessels in New Zealand, representing a 15% increase in global on-board camera monitoring coverage.

Industry Benefits:
The collected data strengthens New Zealand's position as a leader in sustainable fisheries management while enhancing our international market credibility.

Seamless Operation:
The automated system requires minimal crew interaction, with brief system checks at fishing event start and end points.

Data Integrity:
Advanced encryption protocols, private networks, and secure cloud infrastructure ensure data authenticity throughout the collection and analysis process.

Future-Ready:
Ongoing AI development will enhance the system's capabilities, including automated species identification and advanced monitoring features. 

We’re AWSome together!
As a Premier AWS Partner in New Zealand, Spark demonstrates its commitment to excellence through our team's extensive AWS expertise, validated by over 200 certifications. Our comprehensive service portfolio spans cloud migrations, DevOps practices, CloudOps management, modern application development, and cutting-edge GenAI solutions – all designed to harness the full potential of AWS's market-leading capabilities for your business success.

When you choose Spark, you're partnering with trusted AWS experts who bring deep local knowledge and proven experience in implementing sophisticated cloud solutions. Our dedicated team works closely with you to develop and execute comprehensive cloud strategies that align perfectly with your business objectives, ensuring you maximize the value of your AWS investment.

By combining Spark's local expertise with AWS's world-class cloud platform, we create a powerful partnership that drives innovation and delivers tangible business outcomes. Whether you're aiming to streamline operations, accelerate development, or build a more resilient infrastructure, our team ensures your cloud journey is seamless, secure, and strategically sound, supporting your business growth every step of the way.

Note: The work referenced in this case study was originally undertaken by CCL and/or Leaven, which are part of Spark Business Group. This collaboration reflects the expertise and integrated services available at Spark New Zealand.