How Deep Vision’s AI Solution Helps Reduce Bycatch in Commercial Fishing

Bycatch, the capture of unintended marine species during commercial fishing, is a major environmental issue affecting marine biodiversity. With increasing pressure on fisheries to improve sustainability, new technologies are emerging to address this challenge. Deep Vision’s AI-powered trawl sensor offers a breakthrough solution to reduce bycatch while improving fishing efficiency and profitability. This page explores how Deep Vision’s technology works to combat bycatch and make fishing practices more sustainable.

What is Bycatch and Why is it a Problem in Commercial Fishing?

Bycatch refers to the capture of non-target species such as juvenile fish, marine mammals, and sea turtles during commercial fishing operations. These unwanted catches are typically discarded back into the ocean, often dead or dying, causing significant harm to marine ecosystems. Bycatch is a major concern for the fishing industry, as it not only impacts marine biodiversity but also leads to wasted resources and loss of potential catch value.

Key issues:

  • Environmental Impact: Bycatch contributes to overfishing and disrupts marine ecosystems.

  • Economic Loss: Fishermen are forced to discard unwanted catches, resulting in reduced profits.

  • Regulatory Pressures: Many regions have implemented stricter regulations to limit bycatch, forcing the fishing industry to adopt more sustainable practices.

The Role of Deep Vision’s AI Technology in Reducing Bycatch

Deep Vision’s AI-powered trawl sensor offers a transformative solution to reduce bycatch by providing real-time fish identification, measurement, and monitoring. The system uses advanced machine learning algorithms to identify fish species and measure their size with incredible precision. This data is then used to adjust fishing operations in real-time, helping crews avoid non-target species and optimize their catch.

How It Works:

  • Real-time Fish Identification: The Camsounder trawl sensor identifies fish species as they enter the trawl net. It measures their size and confirms whether they match the target catch criteria.

  • AI and Machine Learning Algorithms: Deep Vision’s technology is built on a foundation of machine learning, continually improving its accuracy in identifying fish and reducing the likelihood of bycatch.

  • Wireless Data Transmission: The sensor operates wirelessly, transmitting real-time data to the control station, allowing crews to make informed decisions quickly.

AI-powered fish identification for bycatch reduction

How Does Deep Vision’s AI Sensor Work to Identify Fish Species and Sizes?

The Deep Vision AI-powered trawl sensor utilizes a combination of 3D imaging, echo sound data, and machine learning to detect and measure fish species underwater. As fish pass through the trawl net, high-definition stereo cameras capture detailed images, which are processed by Deep Vision’s algorithms to identify the species and determine their size. This data is then automatically logged, along with information about the depth and time of the catch.

Key features:

  • 3D Fish Scanner: Provides accurate size measurements of fish.

  • Species Identification: Uses advanced image recognition to classify fish species in real-time.

  • Automatic Logging: Data on fish size, species, depth, and time is recorded for future analysis and decision-making.

Benefits of Using Deep Vision to Reduce Bycatch

By integrating Deep Vision’s technology into commercial fishing operations, fleets can significantly reduce bycatch while improving overall catch efficiency. Here are some key benefits:

Better Catch Value and Increased Profitability

By accurately identifying target species and minimizing bycatch, Deep Vision helps increase the value of the catch. Fishermen can focus on catching species with the highest market value, improving overall profitability.

Enhanced Sustainability in Commercial Fishing

Deep Vision’s technology supports sustainable fishing practices by reducing the accidental capture of endangered or non-target species. This reduces environmental impact and helps fleets comply with regulations aimed at protecting marine life.

Improved Real-Time Decision Making

Real-time data transmission allows crews to adjust their fishing strategy immediately. This means that fishing operations are optimized for efficiency, and the chances of catching unwanted species are minimized.

F.A.Q.

  • Bycatch reduction technology uses advanced sensors, AI, and machine learning to identify and avoid non-target species during fishing operations, minimizing environmental harm and increasing fishing efficiency.

  • AI-powered systems, like Deep Vision’s trawl sensors, use image recognition and real-time data to identify fish species, helping fishermen focus on their target catch and avoid capturing unwanted species.

  • Yes, Deep Vision’s AI technology can identify a wide variety of fish species with high accuracy. As it continues to learn from new data, the system’s identification capabilities improve over time.

  • Deep Vision provides highly accurate measurements of fish sizes using 3D imaging and machine learning algorithms. This helps fishermen determine whether a fish meets the target criteria, reducing bycatch.