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Company: Vesper Marine Holdings, LLC

Website: https://vespermarine.com | Patent Number: 12700232 | Title: Automated identification of fish filets

Innovation in Seafood Fraud Prevention

The seafood industry faces ongoing challenges related to mislabeling, particularly when fish are sold in filet form where visual identification is difficult. Historically, identifying a specific species from a filet has required slow and specialized DNA analysis or spectroscopic sensors. US Patent 12700232 introduces an automated solution that uses predictive modeling and machine learning to analyze acquired images of fish filets. By converting image data into feature vectors, the system can accurately identify the type of fish from which the filet was cut. This method offers a more immediate and accessible process compared to traditional laboratory testing, providing a practical tool for enforcing seafood traceability and verifying product labels.

September 2026 Patent of the Month

This technology won the Patent of the Month award for the state of Maine for September 2026, granted by Swanson Reed. The invention was recognized because it provides a scalable, technology-driven approach to addressing a well-documented problem in the seafood supply chain, which is a major economic driver in Maine. By facilitating faster identification of fish species, the patented system supports local marine economies, helps protect honest fishermen, and promotes transparent trade practices in the commercial seafood market.

Eligibility for the US R&D Tax Credit

The practical applications of this patent present strong opportunities for companies to claim the Research and Development (R&D) Tax Credit in the United States. Implementing this automated identification system requires extensive software development, algorithm training, and system integration to maintain accuracy across diverse fish species and commercial processing environments. These developmental activities inherently involve technical uncertainty regarding optimal predictive models and image processing techniques. As businesses iterate on these software designs and conduct systematic trial and error to adapt the technology for real-world facilities, their efforts directly align with the requirements of the IRS four-part test. Consequently, the expenses related to the engineering, software development, and testing of such systems can qualify for valuable R&D tax incentives.

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