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InPhase - SoniFish Machine Learning Imaging Platform for Fish Examination
The SoniFish Machine Learning Imaging Platform, developed by InPhase with support from Innovation Norway, specializes in the automated acquisition of optical and ultrasonic images for the examination of live fish. Utilizing advanced machine learning and computer vision technologies, the platform classifies fish based on critical parameters such as gender and health. One notable application is the sorting of sedated smolt by gender, facilitated by the detection of ovaries using ultrasound imaging. This process employs a custom-made setup for synchronized optical and ultrasonic recordings and includes a specialized software development tool to enhance the machine learning algorithms. For further details, contact InPhase or visit the SoniFish website.InPhase is developing a Machine Learning Imaging Platform with funding from Innovation Norway which we call SoniFish.
The platform allows for automated acquisitions of optical and ultrasonic images to examine living fish. Machine learning and computer vision is used to classify based on discriminating parameters (e.g., fish sex or health).
A pilot application is the sorting of sedated smolt into female and male. This is achieved by detecting the ovaries using ultrasound imaging and machine learning. For this purpose, a custom-made set-up has been developed that allows for synchronous optical and ultrasonic recordings. A tailored software development tool was created to optimize the machine learning method.
If you want to know more, please contact us for further information or read more on our website sonifish.com