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TIDEPOOL

Team TIDEPOOL develops FISHSCOPE, an AI-driven fish feed monitoring solution that utilizes computer vision technology to quantify fish growth and behavior. This system enhances operational efficiency and profitability in aquaculture by optimizing feed usage and providing real-time growth data.

Busan, South KoreaFounded 20225100+ followers
Updated 20 months ago

Funding

$1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

F
Funding rounds are not available yet.

Founders

Product

Problem

Traditional aquaculture practices often involve manual fish monitoring, which is labor-intensive, prone to errors, and lacks real-time data insights. Inefficient feed management and delayed detection of fish health issues can lead to increased operational costs and reduced profitability for fish farms.

Solution

Team TIDEPOOL's FISHSCOPE is an AI-powered fish feed monitoring solution that leverages computer vision to provide aquaculture farmers with real-time data on fish growth and behavior. The system automates the quantification of fish size, feeding patterns, and overall health, enabling data-driven decisions for optimized feed usage and early detection of potential problems. By providing remote monitoring and AI-driven automation, FISHSCOPE reduces the need for manual sampling and enables proactive management of fish farms, ultimately enhancing operational efficiency, reducing feed costs, and improving the transparency and reliability of aquaculture production. The platform delivers insights into growth trends, optimizes feeding schedules, and monitors for signs of damage or disease.

Target Audience

The primary target audience includes aquaculture farmers and farm operators seeking to improve operational efficiency, reduce costs, and enhance the transparency and reliability of their fish production.

Features

  • Computer vision technology for automated fish growth and behavior analysis
  • IoT-based remote monitoring for real-time data acquisition
  • AI-powered feed optimization to reduce feed costs and improve fish growth rates
  • Early detection of fish health issues through behavior pattern analysis
  • Dashboard providing insights into growth trends, feeding patterns, and potential problems
  • Data-driven decision support for optimized aquaculture management
  • Integration with existing farm management systems
This profile is AI-generated and may contain inaccuracies.