Success Story

AI Underwater Health Diagnostics Driving Aquaculture Innovation

 
 

Challenge: Legacy Estimation Methods Fall Short in Efficiency

Aquaculture has long faced the challenge of accurately estimating fish biomass, which is critical for managing feeding schedules, optimizing growth, and ensuring the health of fish stocks. Traditional methods, such as manual sampling or approximations based on visual assessments, have proven to be inefficient, time-consuming, and often inaccurate. This lack of precision leads to over- or underfeeding, which not only increases operational costs but can also negatively affect fish welfare and the sustainability of fish farms.

 

 

Solution: AI-Powered Automatic Measurements with Aetina’s Jetson Platform

Optoscale addressed these challenges by integrating Aetina’s Jetson AGX Xavier-powered AI technology into their biomass estimation system. The transition to the Jetson platform required no customization or integration efforts, enabling seamless operation with Optoscale’s existing systems. The porting process, which took approximately six months, placed the device securely inside an underwater camera housing to collect high-resolution video streams of fish in real-time. Optoscale selected the Jetson platform for its compact physical size, which made it ideal for installation in their underwater systems. Additionally, the platform offers the advantage of delivering the same version over time, ensuring consistent performance and reliability throughout its use. With the ability to efficiently handle large amounts of data, the Xavier plays a crucial role in processing continuous video streams, providing accurate, real-time results essential for optimizing fish welfare and operational efficiency.

With up to 200,000 fish in a single pen, the ability to shift from manual counting to automatic measurements has become crucial in the aquaculture industry. Accurate and real-time data is more important than ever, and Edge AI allows Optoscale’s system to assess the size and health of individual fish with unprecedented precision—achieving biomass estimates within 1% of the actual weight.

This marks a significant leap from traditional manual sampling methods. The advanced GPU capabilities of the Jetson platform allow Optoscale to run more complex models, improving image resolution and detection speed. These real-time capabilities enable fish farmers to make instant, data-driven decisions about feeding, which reduces waste, optimizes growth, and significantly enhances fish welfare.

 
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Impact:Reduced Operational Costs, Maximized Efficiency, and Healthier, More Resilient Fish Stocks

The impact of Optoscale’s AI-driven solution has been nothing short of revolutionary for the aquaculture industry. What was once a labor-intensive, imprecise process is now streamlined and data-driven, thanks to the power of Edge AI. Fish farmers, for the first time, have real-time, actionable insights into the health and growth of their stock—empowering them to make split-second decisions that optimize the entire process and elevate welfare of the fish. This level of precision is transforming how food is produced, enabling sustainable aquaculture practices that will feed the growing populations of smart cities around the world.

But the innovation doesn’t stop there. By operating on the edge, Optoscale’s solution ensures that even in the most remote, off-grid fish farms, AI can work its magic without relying on constant cloud connectivity. The result? Reduced operational costs, maximized efficiency, and healthier, more resilient fish stocks—all achieved through technology that feels like something out of the future. Optoscale’s integration of Aetina’s Jetson platform is setting a new standard for aquaculture, showing how AI is reshaping the food production landscape with sustainable, intelligent solutions that can scale to meet global demands.

These case studies demonstrate how Aetina’s NVIDIA Jetson Orin Series can be effectively applied to real-world challenges in smart cities and related industries. By providing powerful, scalable, and efficient edge AI solutions, Aetina is helping to drive the future of urban innovation and industrial efficiency. Moreover, these examples highlight the versatility of Edge AI, showcasing its ability to transform not only urban infrastructure but also industries as varied as aquaculture. This breadth of application underscores the limitless potential of Edge AI to solve complex challenges across a wide array of environments.

Optoscale

The Bioscope

 

 

Edge AI Revolution: Enabling Smarter Cities with Aetina’s Jetson Platform

As urbanization continues at an unprecedented pace, the cities of tomorrow are being shaped by the technological decisions we make today. The evolution of smart cities hinges on the ability to leverage advanced technologies that can handle the complexity and scale of modern urban environments. Central to this evolution is the deployment of Edge AI, a transformative approach that brings the power of AI directly to the source of data generation, enabling cities to operate with greater agility, responsiveness, and intelligence.

Aetina’s NVIDIA Jetson Orin Series is not just a technological solution—it represents a paradigm shift in how cities can approach the myriad challenges they face. By processing data locally, at the edge, cities can reduce their dependence on centralized cloud infrastructures, which often struggle to meet the real-time demands of critical urban applications. Whether it’s reducing traffic congestion through real-time analytics, improving public safety with immediate incident detection, or enhancing environmental monitoring with localized data processing, Edge AI empowers cities to make faster, more informed decisions that directly impact the well-being of their citizens.

The real-world applications of Aetina’s Jetson Orin Series, as demonstrated in the case studies of Finter A/S, Dralle A/S, and Optoscale, highlight the tangible benefits that Edge AI brings to smart city and industrial initiatives. These deployments are more than just technological upgrades; they are strategic enhancements that optimize operations, reduce costs, and improve overall service delivery.

Moreover, the adaptability and scalability of Aetina’s solutions ensure that cities are not locked into rigid systems but can evolve and expand their AI capabilities as needed. This flexibility is crucial in an era where urban demands are constantly shifting, and where the ability to scale rapidly in response to new challenges—such as population growth, climate change, or unforeseen events like pandemics—can determine the resilience and sustainability of a city.

Aetina’s commitment to providing a comprehensive edge AI solution—combining state-of-the-art hardware with robust software tools—means that cities can confidently invest in technology that is not only cutting-edge today but will continue to deliver value in the years to come. The Jetson Platform Services and NVIDIA TAO Toolkit, part of the NVIDIA Metropolis stack, offer the necessary infrastructure for managing and optimizing AI deployments across a city’s entire ecosystem, ensuring that these solutions are both effective and sustainable.

As we move further into the era of smart cities, the role of Edge AI will only grow in significance. It is poised to revolutionize how cities manage everything from traffic and waste to security and healthcare, making urban living more efficient, more sustainable, and ultimately, more human-centered. Aetina, with its NVIDIA Jetson Orin Series, is at the forefront of this revolution, offering the tools and expertise necessary to turn the smart city vision into reality.

 
DeviceEdge powered by NVIDIA Jetson modules

Aetina DeviceEdge Edge Al Box - powered by NVIDIA Jetson Orin

 
 

 

About Optoscale

Optoscale, a cutting-edge technology company based in Norway, is at the forefront of driving AI innovation in aquaculture. With a focus on improving fish welfare and optimizing growth, Optoscale has developed a revolutionary biomass estimation system that uses AI to deliver precise, real-time data on fish health and size.

 
 
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